Search results

You don't need us to tell you that the planet is getting hotter. In our humble opinion, the greatest engineering challenge of our time is converting the systems that helped create the world as we know it into sustainable products. With Application Engineering for Combustion CFD, we help many customers across multiple industries simulate the burning of methane, propane, gasoline, diesel, and more. Of course, the goal is always to use simulation to design efficient combustion systems that minimize emissions and maximize performance. However, for these combustion systems, internal combustion engines, gas turbines and process burners, the heat is turned on to reduce their carbon footprint. Excellent design of combustion systems that burn fossil fuels can only get you so far. A major focus for engineers is now to adapt or design from scratch combustion systems that burn alternative fuels such as electronic fuels, hydrogen or ammonia. Clean energy The decarbonization of the automotive industry is what we imagine comes to most people's minds when considering the “cleaning” of combustion systems. There are many articles and columns discussing the long debate between internal combustion engines (ICEs) and battery-powered vehicles! We won't add anything here (except the fact that Simcenter STAR-CCM+ is the tool to design both). Ultimately, ICEs will be needed to advance industries where batteries are not viable and if they can function in a way that produces negligible CO₂ emissions, then they should be part of the mix in the future of transportation. Fortunately, Simcenter STAR-CCM+ has been adding tools to ensure that simulation can be leveraged to design such systems. And so, over the past few years, Simcenter STAR-CCM+ has been continually improved to enable the analysis of new fuels and emissions. Fuels proposed for use in In-Cylinder applications may have different fundamental reactive properties. An important example is Laminar Flame Speed ​​(LFS). In Simcenter STAR-CCM+ you can directly calculate the LFS for any fuel mixture and use it with Flamelet, ECFM and Complex Chemistry combustion models. Below we can see an example of an ICE using a mixture of Gasoline and Hydrogen as fuel, with the simulation being carried out using Simcenter STAR-CCM+ In-Cylinder Solution: The methodology allows a quantitative prediction of gross emissions depending on the hydrogen fraction: Exhaust emissions for different fuel mixtures at equal Qth. Naval applications Of course, the shipping industry is not immune to the need to burn cleanly. Maritime transport is responsible for around 2.5% of all greenhouse gas emissions, but it is essential as 90% of all global goods are transported this way. While there may be use cases where electrification is a viable approach, for large operators, batteries (alone) may never be the solution. Engineers designing marine propulsion systems are having to rock the boat with the use of conventional fuel and explore other (decarbonized) fuels during the design process. Ammonia and fuel cell engines can reduce carbon emissions One of these options is the use of Ammonia. Ammonia can be burned without generating CO₂ and is relatively easy to store, making it a good candidate as a future fuel for the shipping industry. Once the logistics (distribution, availability) of ammonia are resolved, it could be the number one topic for the development of internal combustion engines in the near future. However, despite the potential, ammonia has its own challenges, such as the need for high ignition energy. For this reason, ammonia can be used in conjunction with small amounts of diesel to start the combustion process. Ultimately, this still provides much cleaner combustion than traditional use of fossil fuels. Simcenter STAR-CCM+ can be used by designers to understand this process. In the example below, Ammonia and Diesel jets are studied at various injection times and angles. Under certain conditions, for example insufficient or too strong interaction between the two fuel sprays, misfires may occur. Being able to accurately simulate this reduces the need for extensive testing and allows for a detailed understanding of how to design to avoid such a scenario. Using the Complex Chemistry combustion model, excellent prediction of misfire occurrences as well as regular combustion can be predicted. How green is your simulation? Most industrial CFD simulations rely on High Performance Computing (HPC) and crunching the numbers requires energy that inevitably carries its own carbon footprint. This article from the British Computing Society highlights the challenge and states that CO₂ emissions from HPC data centers are expected to grow by 2 to 9 times over the next 10 years. The obvious course of action is to clear the energy that powers your CFD simulations, but of course this is probably not within your control and furthermore leaves us with nothing to do! With the latest versions of Simcenter STAR-CCM+, combustion engineers can now leverage GPU-native Flamelet combustion modeling. Leveraging GPU hardware allows engineers to run their simulations using significantly less power, reducing emissions and costs, as well as achieving faster responses (a rare win-win situation). So let's take a combustion system, in this case a pressurized annular combustor, and add some hydrogen to the fuel to reduce the CO₂ emissions generated. Great, but nothing in life is free, and we've talked in the past about how the simple act of adding hydrogen can disrupt the thermoacoustic stability of the combustion system. All is not lost as this system can be analyzed using high-fidelity LES combined with the Flamelet Generated Manifold combustion model to accurately predict thermoacoustic behavior. And even better, all of this can run natively on GPUs. The 50% reduction in computing time is evaluated here by comparing a 640-core CPU solution (commonly used CPUs with 32 cores per CPU node, 2.4-3.3 Ghz, 256 MB L3 cache) with a of GPU on 8 NVIDIA A100 cards. The end result is a solution that is 50% faster and consumes 60% less energy, in addition to being 42% cheaper. Even more importantly, the frequencies of thermoacoustic instabilities generated due to hydrogen addition are also excellently predicted and can therefore be eliminated or mitigated: Predicted and measured thermoacoustic spectra for a pressurized annular burner with CH4/H2 flame What we have here, folks, is a case of Simcenter STAR-CCM+-inspired carbon emissions creation : we save on emissions while designing to save on emissions! Interested in designing cleaner, more efficient combustion systems to reduce your carbon footprint? Schedule a meeting with CAEXPERTS today and find out how we can help you meet application engineering challenges for combustion CFD. With our experience and the advanced tools of Simcenter STAR-CCM+, we can explore sustainable solutions for your projects, from simulating alternative fuels to optimizing marine propulsion systems. Don't waste time, get in touch now!

Increase simulation speed, performance, and reliability. Enhancements to Solid Edge Simulation and Simcenter FLOEFD for Solid Edge increase simulation performance and speed with improvements to meshing, structural analysis, and interoperability. The new compact IGBT model makes it easy to incorporate electronics into your simulation studies, while the Cartesian Mesh Generator and improved mesh quality checks enable faster meshing and simulation workflows, resulting in a mesh speed of two to three times faster. Solid Edge Simulation Increased interoperability allows Solid Edge Simulation users to import solid temperature results from a Simcenter FLOEFD study into Solid Edge. A new command within Solid Edge Simulation's "External Loads" option, "Import Solid Temperature", is now supported, in addition to the previous commands "Import Fluid Pressure" and "Import Fluid Temperature". This command is only available with linear static studies and is useful for finding thermal stresses and strains in solids. The new option to apply force at any user-defined point allows greater control of simulation studies. The option has been added to the Force command bar, allowing users to apply forces to any 2D or 3D point in geometry, increasing capabilities alongside the traditional "Point" option that supported vertex selection. The visualization of mesh quality controls has been improved to facilitate the identification of areas of poor quality. Colors are now clearer and easier to decipher, and users can increase efficiency by being able to detect errors instantly. Users can also change the filled color of failed elements in the "Check Element Quality" dialog box for better visibility. Simcenter FLOEFD para Solid Edge Compact IGBT model and Cartesian mesh generator The Insulated Gate Bipolar Transistor (IGBT) compact model is now comprised of compact electrical element and two-resistor (2R) component models, providing an efficient representation of the IGBT element. The IGBT element can be described by specifying junction thermal resistances up or down. A set of IC plots for different temperature values ​​can also be defined for detailed analysis and characterization by users. The IGBT edit definition dialog box allows users to easily add the model to a specific analysis. The junction temperature is used to determine the Electrical Power from the IV graph, which is then applied to the model through the 2R component. The Cartesian mesh generator in Simcenter FLOEFD for Solid Edge ensures optimized performance, providing faster meshing while using fewer resources. With accelerated operations, including smart printed circuit board (PCB) importing and meshing, overall efficiency is improved with faster simulation and meshing workflows. Enhanced visualization capabilities and continuous updates after parameters are changed further enhance the overall workflow. Enhanced structural analysis Simcenter FLOEFD for Solid Edge can be connected to the Nastran Simcenter 3D (SC3D) Solver, unlocking the power of nonlinear analysis. The SC3D Nastran solver 401 introduces additional settings in the Calculation Control Options, allowing you to fine-tune simulations. Settings include adjusting scratch memory, refining contact mode, controlling solver steps, setting end time, and exploring large displacement scenarios. The enhancements also provide greater flexibility and control in nonlinear analysis and greater accuracy when working with large displacements. Tolerance-based contacts enable accurate simulations with enhanced contact options. Tolerances can be specified to create gapped body contacts, linear and angular tolerances can be defined, and glue contacts can be created seamlessly to ensure accurate and reliable simulation results. The User Defined Maximum Aspect Ratio in Local Mesh feature enhances the structural mesh with greater accuracy. By specifying maximum proportions for specific components, efficiency can be improved with greater control over the meshing process, especially for thin structures. Additional Enhancements With the powerful Component Explorer, users can manage component attributes, experience simplified organization, and employ efficient component management. Thermal component lists can be exported and imported, allowing easy editing of properties such as material, volume source value, two resistor power (2R), and light-emitting diode (LED) current. Users can simply export the list of components to Microsoft Excel, make the necessary changes, and then seamlessly import the list, simplifying their workflow. Teamcenter FLOEFD item customization offers greater flexibility and adaptability. Users can customize the Simcenter FLOEFD data model for Solid Edge to align with specific requirements and conveniently store FLOEFD data model files using local storage or Teamcenter storage. This customization can also seamlessly integrate FLOEFD into an existing data management system. Simcenter FLOEFD 's enhanced Linux solver for Solid Edge now supports co-simulation with Functional Mock-ups (FMUs) exported from other software, enabling integrated and comprehensive analysis. This solution ensures smooth compatibility and allows users to leverage all essential information stored within the FMU exported from FLOEFD, including model geometry. Increase the efficiency of your simulations right now! With enhancements to Solid Edge Simulation and Simcenter FLOEFD for Solid Edge, you can experience a significant increase in the speed, performance, and reliability of your analyses. Schedule a meeting with CAEXPERTS today and discover how we can optimize your simulations for guaranteed success.

The launch of HEEDS 2310 brings new and updated technology designed to speed up and streamline your optimization and design space exploration journey. With a significant focus on accelerating speed without compromising accuracy, this release marks a significant advancement in achieving optimal design results. Additionally, the integration of advanced AI capabilities and seamless data management functionalities ensure a progressive and intuitive experience for users across multiple industries and applications. Read on to discover how these new HEEDS capabilities, like new AI integration, data import improvements, and refined portal version management, will lead you to discover better designs, even faster! Go Faster: HEEDS AI Simulation Predictor HEEDS AI Simulation Predictor is a revolutionary feature of the HEEDS 2310 – a performance booster for SHERPA. HEEDS AI Simulation Predictor is a companion module for HEEDS, powering SHERPA with AI to enhance its state-of-the-art research technology to operate at even greater speeds. This accelerator is aimed at HEEDS users looking to streamline their search processes for time-consuming CAE analyzes or when time-consuming optimizations need to be performed. HEEDS AI Simulation Predictor empowers users, enabling precision-aware AI as part of the hybrid-adaptive research framework, to actively learn and improve current research, as well as learn for future design processes. Provides a significant reduction in project optimization time while maintaining the same project budget where applicable. Comparable results to SHERPA are possible, with additional potential for even faster performance. The best just got even better! Save up to 40% in computational time for time-consuming optimizations! Furthermore, this new technology allows the reuse of previous data, providing valuable information for the design of new products and systems, ultimately saving time and costs. You don't need AI experience – this cutting-edge technology integrates seamlessly into your existing workflows, accelerating computationally intensive CAE simulations around the SHERPA research framework. HEEDS AI Simulation Predictor allows you to complete tasks faster or run more simulations in the same period of time. In either case, by leveraging HEEDS you can now discover better designs, even faster! Explore the possibilities: HEEDS POST improvements Importing external HEEDS POST data into the HEEDS 2310 streamlines design decisions by seamlessly integrating external data into the postprocessor. This versatile feature allows you to immediately import or append data, leveraging HEEDS POST post-processing techniques without the need for a HEEDS project . With this release, HEEDS POST becomes a standalone data analysis and post-processing tool for working with data from anywhere. Facilitate data mining, gain insights and discoveries, report your findings, export your learnings, and generate reduced order templates for HEEDS MDO or external use. This expansion to easily incorporate data from non-HEEDS project sources extends data applicability support, empowering informed engineering decisions and revealing valuable insights for robust projects. Stay integrated: HEEDS portal versions In HEEDS 2310 , process automation takes a leap forward with the introduction of portal versions. HEEDS is recognized for its process automation capabilities, anchored in portal technology, which automates the parameterization, execution and extraction of results from simulation tool models. Configuring portals in HEEDS is a simple task, just specify the location of your tool and the main options for your workflow. However, what if you are dealing with multiple versions of the same tool or have different versions on various computing resources? HEEDS 2310 addresses these issues, with a simplified solution through support for portal versioning. Easily configure any tool version for local and remote execution, define specific versions for chosen compute resources, and quickly deploy the required version. Now with portal-specific version specification across multiple features, it's easier than ever to incorporate your tools into simple and complex workflows. This feature gives you the flexibility to select the appropriate version of the portal for your workflow and computing resource, simplifying your workflow with computing resources. Conclusion HEEDS 2310 was created to revolutionize your engineering design journey in a way that is not just an improvement, but a true game changer! Go faster by leveraging the power of SHERPA and AI acceleration. Explore possibilities by unlocking expanded data capabilities to discover valuable insights. Stay integrated by simplifying portal management to streamline your workflow with your computing resources. Discover better designs, even faster, with HEEDS 2310 ! Harness the power of AI with HEEDS AI Simulation Predictor, simplify your data analysis with HEEDS POST, and optimize your workflow with HEEDS portal releases. Schedule a meeting with us at CAEXPERTS to discover how the new features in this revolutionary release can accelerate your optimization and design processes. Don't miss the opportunity to discover better designs, even faster. Get in touch now to schedule your meeting and boost your engineering journey!

CFD simulation embedded in CAD New version of Simcenter FLOEFD 2312 software enhances CAD-integrated CFD to reduce preprocessing activities, accelerate electronic thermal design workflows, while adding new capabilities for structural analysis and an application programming interface (API) improved for simulation automation. Read below for information about these and new features, such as faster convergent geometry CFD meshing, improved speed for smart PCB thermal modeling, PCB reflow oven modeling, and more. PCB Reflow Oven Thermal Process Simulation In a PCB reflow oven, as a PCB moves along a conveyor, it is exposed to heating and cooling zones with different airflow speeds and temperature parameters. The parameter values ​​of these zones, as well as the conveyor speed, must be chosen by the PCB customer prior to manufacturing. The operation design challenge is to increase conveyor speed to achieve the highest throughput while meeting thermal constraints to prevent damage to components mounted on the PCB. Experimental approaches to determine these parameters are expensive because failed attempts lead to lost time, reduced product quality, or low yield. Simulating the reflow oven process to optimize operating parameters prior to physical testing is very advantageous. In Simcenter FLOEFD 2312, a design template has been added so that you can create and modify a PCB reflow oven simulation as a transient study to reflect conditions as a board moves through an oven. The model leverages the project parameters functionality in Simcenter FLOEFD and the new EFDAPI automation features are used to modify parameters. The approach simulates the reflow process within a small volume space around the PCB with moving flow boundary conditions, rather than simulating the real furnace with moving bodies. Watch this video to see indicative steps in setting up and running a PCB reflow oven thermal process simulation. Note: Advanced use of this new feature combines Simcenter FLOEFD and the Simcenter HEEDS design exploration and simulation automation tool for extensive optimization studies. PCB Thermal Analysis: EDA Bridge Autonomous Thermal Territories The fidelity of localized PCB thermal modeling provides the accuracy advantage for modeling copper and layers beneath critical components. This computationally efficient solution remains a good alternative to explicit modeling applied to an entire board. Previously in Simcenter FLOEFD, thermal territories were defined centered on a single component and with a defined aspect ratio. Now in Simcenter FLOEFD 2312, users can specify an independent thermal territory that can be placed anywhere independently on a PCB and then define its aspect ratio. This allows localized modeling fidelity to be defined to cover areas with groups of components more easily. Users define the following settings and then select the modeling level: 1) Location (X and Y) 2) Size (Length and Width) PCB thermal analysis: EDA Bridge script Users can now record and playback scripts that capture the workflow in the main EDA Bridge window, where you process imported ECAD data. Functionality that can be recorded and performed includes actions such as changing the plate shaping level and creating thermal territories. Scripts will be improved in subsequent versions from Simcenter FLOEFD 2312 onwards. Thermal Modeling of Electronic Components: Package Creator Updates What is Package Creator? The Package Creator utility in Simcenter FLOEFD allows engineers to quickly and easily create thermal models of IC packages based on 3D CAD geometry in minutes from a list of model guides for common package families. These detailed models can then be used in electronics cooling simulation studies in Simcenter FLOEFD. In Simcenter FLOEFD 2312, the following updates have been implemented in Package Creator: – 2 new initial IC package models: Flip Chip CBGA and Wirebond CBGA. – Creating detailed Simcenter Flotherm-ready models that you can export to share with other organizations Structural Analysis Enhancements in Simcenter FLOEFD 2312 Structural: Mesh Boolean operation to easily handle complex geometry Certain complex geometry models can sometimes create problems whereby Boolean operations simply cannot be completed using Boolean CAD processes, or in other cases Boolean preprocessor approaches can be very time consuming. A new, improved structural mesh generator and geometry preparation now supports Mesh Boolean for structural analysis meshing. This provides a solution that allows engineers to create meshes more quickly and automatically, even for extremely complex geometries. Structural: Nonlinear materials The engineering database has been enhanced to be able to define engineering stress-strain curves for solid materials in Simcenter FLOEFD, to combine with leveraging the existing capabilities of the Simcenter 3D Nastran solver to perform an analysis. As a reminder, the Simcenter NASTRAN nonlinear solver connection to Simcenter FLOEFD was introduced in version 2306. Structural: Large deformation modeling A new option can now be selected for large deformations by activating the corresponding option of the Simcenter 3D nonlinear Nastran solver. Simcenter FLOEFD 2312 now allows recalculation of engineering stress-strain to true stress-strain. This provides more accurate results for analysis where large strain values ​​are reached. Structural: Improved general contacts Using Simcenter FLOEFD and leveraging the Simcenter 3D Nastran nonlinear solver when modeling general contact types now means that contacts can appear and disappear during the iterative calculation process as a result of body deformation. In previous versions of FLOEFD, contacts were created before starting the solver and could not be changed, appear or disappear for deformed bodies. Faster CFD Mesh for Converged, Faceted, and STL Geometries Meshing is now accelerated for convergent, faceted, and STL geometries, so it is as efficient as meshing for parametric solid geometry. An example below being 10x faster for a vehicle model that was converted from STL data as a convergent body for an external aerodynamics study. Simcenter FLOEFD with mesh size of 62 million cells. Comparing mesh time: In the previous version 2306 = 2 hours Now in version 2312 = 12 minutes Smart PCB Thermal Modeling – Fidelity and Speed ​​Improvements The Smart PCB feature is one of several options for PCB thermal shaping. It is a sophisticated approach to efficiently capture the detailed material distribution of a PCB without the additional computational resource and time penalties typically required to explicitly model the PCB. This is done using a grid assembly approach, where a voxel-style grid is generated based on images of each PCB layer in imported EDA data. In Simcenter FLOEFD 2312 , the solver speed for Smart PCB calculation has been significantly optimized so that you can better leverage this modeling option for even faster, high-precision PCB thermal analysis. Additionally, this speedup of the solver allowed changing the default settings for the number of blocks on a PCB. Settings now go from the default 100 to 300, which in turn produces a more accurate solution, especially when using the “Fine” modeling option. The solution times results for 3 different models are shown below comparing the fine and medium settings for the number of parts defined, both in Simcenter FLOEFD 2312 and the previous version 2306. The illustrated solution times show a speed increased by a factor of 1.5 times to 8 times is possible, which is advantageous to perform accurate PCB thermal studies in less time. Clearly, the size and complexity of the PCB is a factor in the possible speedup, as one would expect. You can also notice the significantly shorter solution time for a Smart PCB to solve compared to an Explicit PCB template. Automation – EFDAPI is an enhanced API to speed up your process The new EFDAPI has been introduced and now covers all existing features and parameters in Simcenter FLOEFD . Enhanced functionality and greater ease of use allow engineers to leverage automation to reduce simulation workflow. Consider the case of automating the electronic cooling simulation of a Boost Converter The following short video illustrates the automation of the following steps Run CAD and open the model Create FLOEFD project Configure all boundary conditions and simulation settings Run the simulation and post-process the results Post-processing batch results without opening CAD Typically using CFD embedded in Simcenter FLOEFD CAD in normal operation, a project needs to be opened and the results need to be loaded to create resulting images and spreadsheets. Creating them automatically after calculation uses the “Batch Results Processing” tool. Batch processing of results is now possible without opening CAD. Now you can: – use command line execution export that generates the files needed for batch processing of results on Windows or Linux machines – run the solver on the remote server and batch process the results on the server at the end of a solution automatically, without copying the files back to the client In this short video below, the steps are illustrated: SCD5 Export Support for Simcenter 3D Simcenter FLOEFD fields can now be exported in Simcenter 3D SCD5 format. This results in a binary file for transferring data from FLOEFD to Simcenter 3D. This means that there can be a significant file size advantage using the SCD5 binary format. This helps in transferring fields from a thermal analysis to a thermomechanical stress analysis in Simcenter 3D. You can export steady-state or transient pressure and temperature fields to a CGNS file using the SCD5 mesh file as input data. Simcenter FLOEFD scene files can now be saved in JT format. This allows you to view Teamcenter simulation results using its viewer (which uses the JT format). Would you like to optimize the thermal performance of your electronics projects? With the new version of Simcenter FLOEFD 2312, you can drastically reduce preprocessing time and speed up your project workflow. From advanced structural analysis to intelligent PCB thermal modeling, this enhanced software offers a range of possibilities. Schedule a meeting with CAEXPERTS today to find out how we can help boost your simulation efficiency and accuracy.

Take advantage of integrated SPH technology. Faster with more GPU hardware options. Run turbomachinery CFD faster and more accurately. Model the complexity of tightly coupled fluid-structure interactions. Plus, many more features. With the release of Simcenter STAR-CCM+ 2402, engineers across all industries are provided with computational fluid dynamics (CFD) capabilities to accelerate the modeling of today's complex products. Leverage exciting new capabilities to explore engineering possibilities and turn complexity into a competitive advantage. Run faster, more accurate industrial axial turbomachinery simulations Making turbomachinery blade passes with polyhedral meshes leads to a comparatively high cell count. This typically manifests itself in increased run times in turbomachinery aerodynamic simulations. As the main solution, structured meshes were previously introduced in Simcenter STAR-CCM+. This allows for faster response time for axial machines, making the mesh smaller compared to polyhedral and allowing for faster simulation time. The structured mesh also provides high-quality flow-aligned cells in the main blade passage, providing faster simulation convergence and greater solution accuracy. With Simcenter STAR-CCM+ 2402, the structured mesh capacity of the turbomachine with blade fillet support will be further expanded. These fillets can be on the top or in the center. A seamless user experience is guaranteed with the fillet being automatically detected as part of the blade surface input without any additional input. Overall, the structured mesh of the turbomachine, together with automatic fillet support, leads to even greater accuracy and faster solution time without any additional effort from the user. Tackle highly dynamic fluid loads that lead to large solid deformations For applications where there is a strong bidirectional coupling between a dense fluid and a very flexible structure, convergence and stability of a CFD simulation are very difficult to achieve. With Simcenter STAR-CCM+ 2402, a set of new features are being introduced that enable exactly this type of complex fluid-structure interaction simulations, where highly dynamic fluid loads lead to large deformations in the solid structure: The new Dynamic stabilization method FSI offers very good control over the simulation with just one adjustable coefficient and is fully compatible with the solid stress load step solver. And with the backward differentiation time integration scheme now also available for the solid stress solver, full kinematic consistency between solid and fluid is now guaranteed even for configurations using 2nd order time integration. This next-generation fluid-structure interaction (FSI) modeling reduces barriers to dealing with highly dynamic and tightly coupled two-way FSI applications. Enable applications that involve radiation on participating media Many applications in the food and beverage, medical and processing industries or in additive manufacturing rely heavily on the volumetric interaction of radiation with a processed material. Therefore, to tackle such scenarios with CFD simulation, an accurate model of radiation absorption and scattering in the presence of a participating media is required. With the Simcenter STAR-CCM+ 2402, the already existing Surface Photon Monte Carlo SPMC model (which only considers surface-to-surface radiation and ignores the participant/volumetric effect) is being extended to a fully volumetric PMC. Generally, PMC, a statistical method for solving the Radiative Transfer Equation, is considered one of the most accurate solution approaches. With the expansion to volumetric PMC, a combined modeling of volumetric and surface radiation is enabled and therefore an even higher fidelity approach is provided. This allows for more accurate modeling of complex phenomena such as absorption and scattering of radiation when it interacts with a participating medium. To capture the interaction of radiation with liquids, it can be run in conjunction with Volume Of Fluids (VOF). Thanks to the volume-surface hybrid scheme, users can efficiently use VPMC only in the region where absorption accuracy is required, while maintaining the rest with Surface PMC. This enables impressive speedups of up to 37x compared to a pure Discrete Ordered Method (DOM) solution. VPMC is further expanding the already rich Simcenter STAR-CCM+ physics offering for radiation modeling (DOM, P1 Spherical Harmonics, Surface-to-Surface, SPMC) with the most comprehensive high-fidelity approach. Unlock cross-functional synergy for Design Exploration In a world of increasingly complex products, considering trade-offs between engineering disciplines is of critical importance to maximizing product performance holistically. Therefore, isolated Design Exploration studies not tracked within a single CAE discipline pose the risk of unrealized performance potential. Simcenter STAR-CCM+ 2402 will introduce a Design Manager integration into Teamcenter Simulation. The integrated solution will allow you to receive real-time updates and notifications about changes in geometry, changes in requirements, parameters, etc., from other engineering teams that may affect your Design Exploration project. The integrated Design Manager will help your teams accelerate time to market by leveraging Teamcenter's capabilities for Design Exploration: team members can directly access the right data in Teamcenter, ensuring traceability between requirements and results and leveraging a database of centralized project/product information data. The launch of embedded studies from Active Workspace is further democratizing design exploration. With the resulting improved inter-organizational collaboration, you will be able to realize the full potential through informed optimization of cross-functional product performance. Perform faster surface preparation for complex geometries In exterior aerodynamics, CFD engineers need to strive to achieve an efficient distribution of prism layers on the exterior and interior parts of the vehicle. Using existing surface repair tools, splitting low-y+ and high-y+ surfaces can be a tedious process that can take hours or days, depending on user experience and model complexity. The division of part surfaces is also important in any study when, for example, the reporting of a quantity at a specific limit or the assignment of boundary conditions is desired. The Simcenter STAR-CCM+ 2402 will incorporate an interactive classification tool for surface repair that speeds up the division of part surfaces. The feature comes with an intuitive user interface and state-of-the-art algorithms that enable fast and efficient classification and save time. The tool can be applied to individual parts or to a set of parts that can have different tiling levels. The sorting process is fast and faces can be sorted in seconds. The tool also allows you to record a macro, for even faster classification of different design variants. Therefore, for outdoor aerial simulations, valuable surface preparation time as well as mesh count can be saved. This also leads to reduced solver execution time with minimal differences in drag count. Go faster with access to a wider range of hardware for native GPU acceleration The benefits of GPU-enabled acceleration of CFD simulations are, however, unquestionable. Significantly lower cost per simulation for the same number of designs, massively reduced power consumption, and the ability to replace thousands of CPU cores with a single GPU node. However, until now, GPU-enabled acceleration in Simcenter STAR-CCM+ has been tied to a single GPU hardware vendor, limiting your options. Now, calculations in Simcenter STAR-CCM+ 2402 can be performed on both AMD and NVIDIA GPUs. In this release, you can now take advantage of AMD Instinct™ 200 series GPUs (MI210, MI250, MI250X), with unchanged consistency in results regardless of your chosen hardware, whether CPU or GPU. This offers a wider selection of hardware, easier access to GPU-accelerated CFD, and ultimately more flexibility to obtain CFD results in the most efficient way possible. Run CHT and multi-timescale simulations more efficiently with native GPU solvers As described above, GPU-accelerated CFD simulation has a long list of benefits, including the potential to run your simulations in a cost-effective and energy-efficient manner. Consequently, benchmarks over the last few release cycles have proven the excellent performance of Simcenter STAR-CCM+ on GPUs. And so, it is of fundamental importance to expand the ability to leverage GPUs for more models and, consequently, more applications. Simcenter STAR-CCM+ 2402 therefore follows the portability of solvers and resources to make them equally available for native GPU and CPU simulations. The new version offers GPU-native implicit and explicit fluid-solid and/or solid-solid mapped contact interfaces and a GPU-native multipart solid material properties model. Together, these improvements make it possible to run conjugate heat transfer (CHT), vehicle thermal management (VTM), and other multi-timescale simulations on GPUs with all the associated benefits. CPU-equivalent solutions are guaranteed by maintaining a unified code base. Significantly accelerate multispecies coupled flow simulations Applications involving reactive flows can be found in many sectors. And although CFD simulation can cover all aspects related to chemical reactions with a high level of accuracy, it comes at a cost. Typically, fully coupled flow, energy and species simulations can be very computationally demanding. Therefore, in Simcenter STAR-CCM+ 2402, you now have the possibility to use the Segregated Species solver in conjunction with the Coupled Flow and Energy solver, as an alternative to a fully coupled Flow-Energy-Species approach. Solving species transport in a segregated manner reduces the computational time of the entire system, with large speedup benefits of up to x10 depending on the use case or – more precisely – the number of species involved. Note that while the Coupled Flow/Energy with Segregated Species approach can provide a significant speedup for multi-species simulations, certain more complex reactive cases are expected to require a full Flow/Coupled Energy and Coupled Species approach. Smoothed Particle Hydrodynamics (SPH) Integration in Simcenter STAR-CCM+ 2402 ASmooth-Particle Hydrodynamics (SPH) technology is a very powerful and fast alternative method for modeling complex transient flows with highly dynamic free surface flows, including jets and splashes. However, standalone tools for SPH and mesh-based CFD force users and engineering teams to choose the tool a priori and eventually work across several different tools depending on the exact simulation requirements. In Simcenter STAR-CCM+ 2402, the first version of the SPH solver, which is fully integrated into the platform, was released, allowing you to run SPH and mesh-based simulations from the same tool. Because SPH does not require volume meshing, it allows you to quickly handle complex body movements, even with contact and complex geometries. By integrating with Simcenter STAR-CCM+ you will immediately benefit from the power of Simcenter STAR-CCM+ as a CFD simulation platform: Integrated end-to-end workflow automation, advanced preprocessing with a built-in CAD tool and external CAD connectivity seamless, powerful data analysis and design space exploration integrated with Design Manager. Ultimately, the integration allows you to run multiple types of multiphase applications in a single environment, expanding your options beyond established finite volume methods like VOF or MMP to a fast, meshless SPH method. All this without the need to learn and maintain an additional CFD software tool. In this first version, the lubrication of the powertrain using an oil bath was prioritized. Please note that to be able to run the SPH solver, customers will need an additional license. These are just a few highlights of the Simcenter STAR-CCM+ 2402. These capabilities will enable you to design better products faster than ever before, turning today's engineering complexity into a competitive advantage. Don't miss the opportunity to take advantage of all the advantages offered by Simcenter STAR-CCM+ 2402! With advanced computational fluid dynamics (CFD) capabilities to speed up your simulations, accurate fluid-structure interaction modeling, and expanded access to GPU hardware, there's a lot to explore. Schedule a meeting with CAEXPERTS experts right now and discover how we can help you optimize your engineering projects, transforming complexity into competitive success. Get in touch today to learn more and start taking your engineering to the next level.

The whole engine model (WEM) can be used in the gas turbine industry to accurately calculate the transient thermomechanical behavior of a gas turbine engine under a wide range of operating scenarios. This has clear implications for the service life of the different engine components, as well as the performance and efficiency of the gas turbine itself. But how can we be confident in what we are calculating? Like any simulation tool, if the inputs are bad, we shouldn't expect much from the results. So how can we ensure our contributions are of the highest fidelity? Gas turbine Original Equipment Manufacturers (OEMs) have generated a great deal of knowledge and understanding of their respective engines over the years through extensive simulations, trial and error, and test or validation campaigns. The steady state or baseload/navigation status of an engine is critical to understanding engine performance. However, the challenge is how the engine got to this state: what kind of temperature loads and gradients did the metals experience to get to this steady-state condition. To understand this, heat transfer coefficients (HTCs), fluid temperatures and thermal fluxes are critical information to construct and understand the evolution of the gas turbine thermal state throughout an operational scenario. By capturing the status quo The following Figure is an example of a thermal boundary condition input window for the turbine specific flow boundary condition. Example of thermal flux boundary condition input menu. This is where companies can capture proprietary knowledge of their engine: how flow temperature and pressure evolve as the gas turbine ramps up, reaches base load/cruise speed and altitude, and subsequent deceleration or landing. A crucial input to metal temperature calculation is the heat transfer coefficient: the factor behind the metal temperature evolution through which this boundary condition is placed. In the simple example above, 200 W/m 2•C° is chosen. In reality, as the main physical parameters of the convection fluid (pressure, flow and temperature) evolve throughout engine operation, it is pertinent to take into account the physical changes involved. Below a certain rotational speed, the flow is not transmitted through the motor, which can lead to a different heat transfer process. The entire engine modeling process can explain this phenomenon under boundary conditions in two ways (see Figure below): Incorporation of if/then statements into boundary conditions input fields; Links to key mission/operational cycle parameters that evolve over time. Example of using conditional statements in gas turbine boundary conditions. In addition to the above possibilities, typical heat transfer correlations such as the flat-plate correlation, the Nunner correlation, the Dittus-Boelter equation or some derivative thereof can be included as time-varying or window-input equations. input of heat transfer correlation. It should be noted that companies are able to write company-specific plug-ins that contain proprietary knowledge and information that can be called into Simcenter 3D. This user-defined plug-in function is a feature that allows Simcenter 3D users to utilize its proprietary correlations in modeling the physics of their simulation. Users can code correlations in C++ using application programming interface (API) functions that give access to quantities calculated by the solver. These correlations can be used later in Simcenter 3D when applying and defining boundary conditions. The solver will calculate user-defined functions used in expressions, such as heat transfer correlations, during the solve time. Gas turbines typically have cooling holes for the hottest turbine components or to direct compressor flow into the internal cavities of a rotor. Energy can be transferred to the fluid from such configurations. Windage can be defined as that component of energy that is transmitted from a rotor to the fluid. Simcenter 3D has two dedicated functions that can account for this extra power: Windage for inclined and vertical surfaces; Windage for horizontal cylinders. However, what happens when there is a new gas turbine engine configuration or when the OEM is at the beginning of the design phase of a gas turbine engine where only sketches or operational scenarios are known? Systems engineering: precision and speed This is where a systems engineering tool such as Simcenter Amesim or Simcenter Flomaster is often employed by OEMs to define the main operation of the gas turbine before any computer-aided design (CAD) data is available. These types of models built using existing component libraries in the software are flexible and typically mature with the design as it evolves. In the case of the gas turbine, being able to model and characterize the secondary airflows in and around the gas turbine is critical to understanding the performance and efficiency of the entire engine. Secondary airflow is the portion of the airflow removed from the hot gas path at various stages of the compressor and used for cooling or sealing in the hottest parts of the turbine section. This air needs to be used efficiently and optimally to minimize the impact on engine performance metrics. Simcenter Flomaster has a dedicated library and set of solvers for such simulations. Important physical information, such as swirl correlations relevant to the cavities within a gas turbine, can be calculated and subsequently used as input into boundary conditions throughout the engine model (see Figure below). Similar to WEM's practice of incorporating in-house knowledge and experience, Simcenter Flomaster offers templates for vortex correlations, allowing companies to tailor the solution to reflect their best practices and methodologies. Simcenter Flomaster also contains scripting capabilities so that an enterprise can incorporate its own correlations into the system-level model. Model of part of the secondary air flow system of a gas turbine. These types of system-level models can provide advance information about the operation of a gas turbine engine, and the parameters calculated from the model can be used to tailor the heat transfer correlations of the entire engine model. This type of loose coupling can also be extended where the backlash or deformation calculated from the MAE can be fed back into the systems model, allowing the engineer to understand this effect on the network flow distribution. This approach is also relevant for simulating and understanding the performance of labyrinth seals, typically employed throughout the engine to seal air and hot gas from the metal. Capturing 3D flow phenomena for the 2D world A second source of input for all engine model boundary conditions is computational fluid dynamics (CFD). Using CFD on the complete gas turbine is prohibitively expensive, despite recent advances in hardware and solver speed. However, it can still be used to better understand local conditions and add more fidelity to the entire engine model. There are a few ways to use CFD in MAE, but first, let's see what CFD can elucidate for a full engine model engineer looking at the gas turbine. A gas turbine contains numerous areas of forced convection, not just the hot gas path. It is in these other locations that more information can be derived from CFD to better understand the local flow and heat transfer conditions within a gas turbine; locations such as external extraction cavities, cooling holes within a rotor, or purge streams used to minimize or prevent hot gas ingestion. These conditions could also be simulated and understood at times other than steady-state flow, where local HTCs can have a significant effect on heat transfer to and from the metal. CFD is a valuable tool for understanding local heat transfer conditions within the gas turbine engine. A full engine model engineer can incorporate a speed-controlled HTC into their model, at thermal boundary conditions, or by directly calculating the HTC from a conjugate heat transfer simulation in a tool such as Simcenter STAR-CCM+. A second source of CFD input that can be utilized throughout the engine model is to add fluid domains directly into the 2D WEM. Since Simcenter 3D 2022, 3D fluid domains can be included in the axisymmetric part of the entire engine model (see Figure below). 3D fluid domains within the 2D axisymmetric model of the entire engine to simulate air and heat transfer within the cavities between the turbine blades. This area can be particularly sensitive to temperature changes that can occur due to hot gas ingestion and adversely affect the mechanical life of the spruces. As we have seen, there are several ways to help you fill in the boundary conditions for your entire engine model. Depending on where you are in the development cycle, different levels of input fidelity can be used to help you better understand your engine's performance and the subsequent impact on your engine's metal temperatures and clearances. To ensure your engine model achieves maximum accuracy and effectiveness, schedule a meeting with the experts at CAEXPERTS now. Our team can help you understand and optimize your boundary condition inputs, utilizing industry best practices and customized solutions to meet your specific needs. Don't leave the quality of your results to chance - contact us and take your engine modeling to the next level!

Accelerate, innovate and optimize your electrical machine design process Introducing Simcenter E-Machine Design Software Engineers and engineering managers often face major challenges in the world of electrical machine design. Product development can seem to take years, prototypes are carefully built and tested, and costs often exceed budgets. Furthermore, size, weight and sustainability targets are becoming increasingly strict. But now they have a solution to their problems, a solution that can transform their design process and propel them to success. Siemens is proud to announce Simcenter E-Machine Design, building on the best of Simcenter SPEED , Simcenter Motorsolve and Simcenter MAGNET to replicate experiments with electrical machines. Simcenter E-Machine Design is designed to connect electrical machine V-cycle parts and fulfill Simcenter's vision to help companies reduce product development time from the typical 3-4 years to less than two years. Imagine the possibility of skipping one or more physical prototypes! Simcenter E-Machine Design software is a simulation tool that accelerates the design process, validates designs upfront with multiphysics simulations, and strikes the perfect balance between performance and cost. This was the answer you were waiting for. The Caracteristics But what sets Simcenter E-Machine Design apart? Let's dive into its features: First, Simcenter E-Machine Design uses a model-based design approach. Engineers can leverage predefined models tailored specifically for electrical machines and can design hundreds of machines virtually without being FE experts. This not only reduces design time but also allows them to think outside the box and optimize their creations. Second, Simcenter E-Machine Design relies on virtual multiphysics validation. Engineers can perform simulations early in the design phase, anticipating potential failure modes and ensuring robust performance. The thermal performance of the engine is the center of attention, as temperature can make or break its reliability and useful life. As Toshiba Motors says, “temperature kills engines” and this is because knowing that a mere increase of 10 degrees can halve the life expectancy of a machine. With this tool, engineers can predict and mitigate overheating issues by running fast electrothermal simulations in a single tool. Comparison of engine temperatures, with and without cooling. Don’t get lost with axial flow machines… And there's one more interesting part: Simcenter E-Machine Design now includes an Axial Flux machine module. This module has unique features allowing engineers to predict the performance of axial flow machines in seconds. Thanks to the combination of interface models on the input side and analytical analysis capabilities on the output side, engineers can quickly harness the power of axial flow machines. These machines are being investigated in many industries because the ability to stack them has the potential to significantly increase performance. Users can now evaluate axial versus radial flow alternatives and assess whether higher power densities can be achieved. Many believe that these machines could shape the future of electric mobility. Additionally, Simcenter E-Machine Design allows engineers to validate the electrical machine within the transmission system by integrating it into the Simcenter portfolio. Being able to digitally integrate your components allows you to reach the physical prototype stage with greater confidence, avoiding costly failures. The three examples of this integration that bring the most value to our partners are: System Integration: Optimizing the electrical machine within the system is the only way to achieve the next level of efficiency and take your electrical application to the next level. Simcenter E-Machine Design allows you to create accurate reduced order models (ROMS) that integrate with Simcenter AMESIM for mechatronics simulation. If you are interested in drive-motor integration, you can also embed your ROMs in the Xpedition software or PartQuest Explore software. Thermal Integration: To increase efficiency and performance, engineers continue to explore increasingly complex cooling strategies. The more complex the cooling, the more essential simulation becomes to validate that everything works as planned. That's why Simcenter E-Machine Design helps you leverage your model and build detailed multi-physics solutions in Simcenter STAR-CCM+. Mechanical integration: In particular, validating the NVH performance of the machine, gearbox and casing can be a nightmare. Classical approaches that do not take into account the integration between electromagnetic charges and transmission continue to prove insufficient. That's why Simcenter helps you accurately replicate the integrated e-drive and review the system's NVH. You can test and correlate your results with the physical system. Considering the effect of electromagnetic charges propagating through the transmission and housing allows for a more accurate check of the e-drive's NVH. Don't wait any longer to optimize your electrical machine projects! Schedule a meeting with CAEXPERTS now and discover how Simcenter E-Machine Design can speed up your design process, reducing costs and increasing efficiency. Let's work together to drive the success of your project. Contact us to schedule your meeting!

Effects on NVH and how Simcenter 3D Motion can simulate them. How we used to model deformation and NVH Until now, engineers have faced the challenge of studying the effects of deformation on a system's NVH (Noise, Vibration, and Harshness) performance. They must go through a long modeling process to modify the structural model and change their vibrational behavior. This required a high degree of modeling experience, and even experienced users must go through a time-consuming iterative process of model re-meshing , resolving, and post-processing. To make matters worse, structural modifications often impact all deformation modes of a flexible component, making it difficult to dissociate it in a vibration sensitivity analysis. Modal Edit Now, Simcenter 3D Motion has come to solve your problems. They introduced a new feature called Modal Editing, which exposes the user to all the frequencies of a modal equivalent ERFEM-based flexible body. Each mode is represented by a simple 1-degree-of-freedom spring-mass system, and the oscillations of any modal mass are linked to the corresponding modal shape of the structure through a set of coefficients that represent the deformations measured at any node in all directions. . Performing a modal analysis on this equivalent modal model provides, by definition, precisely the same results as the original model, allowing it to be used as a parametric and editable input for a flexible body of motion. The advantage of equivalent modal modeling The advantage of using an equivalent modal model is that, in principle, the user can modify the frequencies and modal shapes of the flexible body just by editing the modal solver input deck file. In practice, changing deformation shapes is complex due to the many parameters involved, but editing modal frequencies is much easier. Each system in the modal model is completely decoupled from any other, allowing users to edit single modes without affecting the remaining set of modes. Finding the dynamic motion solution This new technology proved useful in evaluating the impact on the vibration levels of the flexible casing of an eDrive powertrain from a 10% increase in the frequency of the 1st flexion mode. By modifying the desired modal frequencies through the Mode Editing tool, a new solution was initiated to compare the vibration results obtained with the new model. The overall level of vibrations at the selected node has been reduced, especially in the speed range up to 4,000 rpm. The results from the Motion dynamic solution were then reused for further acoustic analysis of the box. In conclusion, Simcenter 3D Motion users now have access to new functionality that allows them to edit the modal frequency content of a flexible body. Through a fully automated process, they can perform sensitivity analyzes and what-if scenarios to quickly assess how changes influence engine performance on the flexibility of any component. Unlock the future of deformation and NVH modeling with CAEXPERTS! With Simcenter 3D Motion and the innovative Modal Editing tool, we simplify the process for engineers. Optimize your time and take your modeling to the next level with the efficiency of CAEXPERTS! Schedule a meeting now for fast and valuable transformation.

Using imported detailed PCB designs and IC thermal properties to speed up thermal analysis Benefits Save time and effort by using imported detailed PCB designs and IC thermal properties for analysis; Quickly import detailed PCB data into Simcenter FLOEFD; Improve analysis accuracy with more detailed thermal modeling of electronics. EDA Bridge Simcenter FLOEFD's EDA Bridge module provides capabilities for detailed import of printed circuit boards (PCBs) into the mechanical computer-aided design (MCAD) tool of your choice in preparation for thermal analysis. Historically, the best way to access PCB data was to use Intermediate Data Format (IDF) file pairs, which present several problems, especially regarding the geometry of the copper on the PCB. The Simcenter FLOEFD EDA Bridge allows detailed import of PCB thermal properties of materials and integrated circuits (IC) into Simcenter FLOEFD for thermal analysis on its own or as part of a larger system-level assembly. PCB Import File Formats Simcenter FLOEFD EDA Bridge can use four file formats for import: IDF CC and CCE (native file format for Xpedition™ software and PADS™ software from Siemens Digital Industries Software) ODB++ (neutral file format for PCB manufacturing) IPC2581B (IPC Digital Product Model neutral file format) The benefit of using CCE, ODB++ or IPC2581B is the PCB stackup and copper geometry can be read and used to create 3D geometry. This is particularly useful when thermal considerations, such as vertical connection thermal access (vias) or copper leaks, have been designed into the board. PCB Modeling Levels A PCB can be modeled in four ways using Simcenter FLOEFD: compact, layered, explicit or using the new Smart PCB. The most appropriate approach depends on the required granularity of the thermal simulation, evaluated against the time available for analysis in a design and the constraints of the EDA data available at the design stage. More information about each approach: 1. Compact: An orthotropic material property is created to account for in-plane and direct-plane thermal conductivities based on the copper content within the board. 2. Layered (detailed): Each layer has its own material property based on the copper coating of the layer, including dielectric layers with vias. PCB material thermal conductivity modeling options for compact and layered approaches: Analytics: A well-known legacy approach where effective properties are determined based on the volume average of copper and dielectric of individual layers of the board or the entire board. Empirical: a unique and patented approach where effective properties are based on a percentage correlation of coverage with the explicit representation of copper. Several validation examples have shown that results based on empirical effective thermal conductivities more accurately predict component temperatures than the analytical method. Empirical effective in-plane conductivity 3. Explicit: Explicit copper modeling can be performed at more mature design stages when fully routed board information is available. You can import CCE, ODB++ or IPC-2581B files that contain the board netlist and copper layout, and then all the appropriate 3D geometry will be created. Alternatively, you can adopt the subset approach to model individual networks for Joule Heating analysis using the explicit network approach: Specific networks can be selected and modeled as explicit. The software will then create 3D geometry to resemble the entire network, including vias, in Simcenter FLOEFD. 4. Smart PCB: a new approach where the copper and dielectric within a routed board are represented using a lattice assembly. For a fully routed board, this is a very computationally efficient method for faster solution time. The fidelity of the representation can be adjusted by switching between fine, which guarantees two network assemblies in the width of the smallest stroke, or medium, which allows full control to coarsen or refine the network assembly. SmartPCB is a unique approach to PCB ECAD data processing that enables thermal, thermoelectric and structural simulation. The number of cells in the CFD mesh and the time to solve SmartPCB are much smaller than a fully explicit approach, but maintain the same amount of detail. To understand the Fine Resolution approach and, more generally, SmartPCB creation, consider each layer represented by an equivalent image of the copper distribution. The maximum resolution that can be achieved is 1 pixel, on the order of 10 microns. Cells or blocks in larger areas of Copper or FR4 are merged to reduce the number of nodes in the network representation. Thermal Territories – Localized PCB Modeling Fidelity Improved localized modeling fidelity definition supports faster, more computationally efficient PCB thermal analysis. It eliminates the need to explicitly model the entire PCB, without sacrificing accuracy where it is needed most. To accurately account for the influences of layer complexity and copper trace where they are most critical, users can select an area under a critical component (a standard thermal territory) or define an arbitrarily defined rectangular area anywhere on the PCB to cover the properties of the board under a group of components (autonomous thermal territory). Multiple thermal territories can be defined on a single board and defined as compact, layered (verbose), or explicit type in conjunction with how the board's overall thermal modeling level has been defined. IC Modeling IC components or packages can be thermally represented in several ways to simulate electronics cooling. Within EDA Bridge you can configure the following models during import. If component heights are not defined in the electronic design automation (EDA) tool, a default can be specified in the EDA Bridge: Simple: use block representations of the components. The size is based on the contour of the assembly or placement with the defined material properties. Two resistors: use Joint Electron Device Engineering Council (JEDEC) thermal resistances θJB and θJC. DELPHI Multi-Resistor: Advanced thermal resistance network compliant with JEDEC guidelines with additional network nodes imported as a network assembly. Detailed models represent all 3D materials and geometry of a component. Note: Detailed models based on clean 3D CAD geometry can be generated using the Simcenter FLOEFD Package Creator application in minutes. PDML Import PDML was originally a Simcenter Flotherm™ software format often used by vendors to provide users with an IC package simulation model. This IC package definition in *.pdml format can be imported into Simcenter FLOEFD and contains information about the geometry, energy load, material properties or the thermal compact model definition and radiative properties of the surface. Electronic component filtering ICs, resistors, and other components can be filtered based on one or more criteria. This is designed to allow users to remove thermally insignificant components from the analysis to speed up computational time. The mounting holes can also be filtered. Users can filter parts based on: footprint dimension, height, power, power density, or reference designator. Import power list A CSV file containing the datum designator and a number can be used to apply multiple boundary conditions in one operation, rather than part by part. This feature is useful when many components are present. A CSV file can be exported for further use or editing if necessary. Possible imported boundary conditions range from the type and modeling properties of the IC to its dissipated power. PCB electrothermal co-simulation Using the Smart PCB generated in EDA Bridge and transferred to Simcenter Flotherm to model a board as a network assembly, users can set up a co-simulation with HyperLynx™ PI DC drop analysis software. This co-simulation more accurately represents the power dissipation of the board's copper trace by modeling changes in electrical resistance versus temperature. It is configured in the PCB property sheet and the user selects the appropriate networks to model. At each iteration in the co-simulation, the temperature results are passed to a DC drop analysis to better model the changes in copper's electrical resistance with temperature and then an updated joule heating power map of the grid. Electrical PCB is fed into system-level thermal analysis for accuracy and temperature prediction and so on. It is also possible to control the frequency with which thermal information is passed between the two tools, defining the periodicity of the co-simulation. Overall, this electrothermal modeling solution allows engineers to better predict temperature influences more accurately and then identify areas of excessive voltage drop and high current density that can cause malfunctions. FloEFD: An Integrated Thermal Analysis Solution With Simcenter FloEFD , engineers can perform thermal analyzes directly in the CAD environment, leveraging data imported by EDA Bridge. This integration eliminates the need for additional simulation software, simplifying the design workflow. Interface FloEFD Combining FloEFD with the EDA Bridge module enables more accurate and detailed thermal analysis, optimizing PCB design for better performance and reliability. FloEFD's electrothermal co-simulation provides in-depth insight into thermal and electrical interactions, resulting in more robust and efficient designs. Schedule a meeting with the experts at CAEXPERTS today and take your PCB thermal analysis to the next level! Save time and effort with detailed import of PCB designs and IC thermal properties into Simcenter FLOEFD. Enjoy the benefits of faster, more accurate thermal modeling, ensuring more efficient electronics designs. Don't miss the opportunity to improve your thermal analysis - schedule your meeting now with CAEXPERTS!

Siemens is expanding the automation capabilities and simulation intelligence available in its Simcenter STAR-CCM+ 2310 software by introducing the concept of Stages. But what are these stages? You've heard of life stages, theater stages, Tour de France stages... but what about stages in a CFD simulation to combat low productivity, configuration errors, inconsistency!? Well, when you think about the concept, they are quite similar. Stages – manage multiple physics configurations in a single simulation Stages in Simcenter STAR-CCM+ allow you to have multiple physical configurations in a single simulation. Now you can prepare different objects in the simulation tree and these objects can have different settings at each stage. Objects that are not staged maintain the same values ​​at all stages. With stages, we are unlocking more end-to-end automated workflows and further reducing the need for Java macros. Harness the power of Vehicle Thermal Management Internships To make things a little more concrete, look at an example of what you can do with internships. This video sheds more light on how internships work and what they can do. In the example shown, sections of the configuration of a thermal immersion for a vehicle thermal management case are analyzed. When a car stops after running at a constant speed, the solid parts under the hood follow different cooling/heating patterns. Now you can simulate this scenario in a simulation file without using Java macros or other tricks. For example, in one stage you can simulate the solids as steady state and provide a value for the tangential ground velocity, in the other stage you can simulate the solids as implicitly unstable and set the tangential ground velocity to fixed. Thanks to the easy workflow, stages allow you to quickly automate sophisticated simulation steps. Create as many stages as you need When you create the first stage, help arrives: the stage tree opens automatically (here all stage objects will be visible) and a dedicated toolbar appears in the upper right corner of the simulation tree window. Quick and easy, just press the flag icon next to the object to mount it. The objects that can be staged are, for example: different physical models, conditions, but also other configurations. Depending on the stage, you can have different solver configurations. Pro tip: Use the stage tree and toolbar to quickly spot differences between stages. In the stage tree, use the 2 different views; one showing just the staged objects and the other showing where they are in the tree. Use this to check your final configuration for each stage. Combine stages simply and efficiently Simulation steps and operations enable fast and consistent management of complicated simulation sequences. You can now manage complete stages of simulation configurations and orchestrate their execution without manual intervention or Java macros, and by leveraging the simulation guide and simulation models to share these workflows with your colleagues, in a single simulation model file. Steps in Action – 3D Battery Cell Design Another great example that leverages these automation abilities is the recently released 3D battery cell design feature. The model uses a powerful combination of simulation stages and operations to model complete battery operating cycles. For example, when a battery reaches a certain voltage during charging, a constant current will no longer increase the state of charge (SOC), so the charger will switch to a constant voltage strategy to achieve a 100% SOC. The stages now enable a seamless setup for constant current to constant voltage simulation, automatically switching the current threshold condition from current to potential based on a criteria and therefore capturing this load cycle with ease. Maximize your CFD simulations with Stages in Simcenter STAR-CCM+ 2310 . Easily manage multiple physical configurations in a single simulation, reducing dependency on Java macros. Quickly create and combine stages to streamline your workflows. Schedule a meeting with CAEXPERTS now and transform your simulations! Related posts Simcenter STAR-CCM+ 2310! What's new? The Simcenter STAR-CCM+ 2310 brings an impressive advance in computational simulation, excelling in battery modeling, thermal and aerovibroacoustic simulations, as well as automation and GPU efficiency. Facilitated by Simcenter Cloud HPC, it promotes innovation and product development, with support from CAEXPERTS.

How is computer simulation playing a crucial role in transforming and optimizing projects in the energy cogeneration and bioenergy sector? CAEXPERTS, with its team of experienced professionals, listed the areas of electrical energy generation from biomass, from biogas production to its burning and highlighted how computer simulation is an essential tool in this innovative process. From raw materials to electricity supply, simulation is transforming the efficiency and sustainability of this renewable source. Biomass Plant Modeling Simulation plays a central role in modeling biomass plants. By creating detailed models, we can optimize biomass conversion processes into biofuels, ensuring operational efficiency and maximizing energy production from renewable sources. Combustion Process Modeling The simulation allows detailed modeling of biomass combustion processes. This includes the analysis of the gas mixture, temperature and thermal efficiency, contributing to optimizing the burning of biomass in electrical generation systems. Conversion Efficiency in Biogenerators By simulating the operation of biogenerators, the efficiency of converting biomass to electricity can be improved. Computational models consider variables such as feeding rate, type of biomass and operating conditions, resulting in more efficient systems. Integration of Biofuels in Industrial Processes For projects that aim to integrate biofuels into industrial processes, simulation is vital in adapting existing infrastructure. Detailed models enable the smooth transition to more sustainable energy sources, ensuring efficiency and compliance with environmental regulations. Optimization of Anaerobic Digesters In projects involving anaerobic digestion for biogas production, simulation is used to optimize the design and operating conditions of the digesters. This results in greater biogas production and more effectively treated waste. Turbine and Generator Optimization The simulation is applied to the optimization of turbines and generators used in biomass plants. This includes analysis of flow, temperature and mechanical performance, ensuring maximum efficiency in converting thermal energy into electricity. Energy Cogeneration Analysis For facilities that adopt cogeneration, simulation is crucial to analyze the simultaneous production of electricity and heat. This makes it possible to design systems that make the most of energy generated from biomass, meeting local needs and reducing waste. Future Challenges and Innovations As electricity generation from biomass continues to evolve, exciting challenges lie ahead, from the variety of biomass to integration with electrical grids. Simulation is an essential ally in overcoming these challenges. In summary, computer simulation emerges as an indispensable tool in the bioenergy revolution, from modeling biomass plants to optimizing combustion processes, biogenerator efficiency and integration of biofuels into industrial processes. CAEXPERTS, with its team of experts, invites you to schedule a meeting to explore how simulation can drive efficiency and sustainability in innovative projects in the energy cogeneration and bioenergy sector. Together, we can face future challenges and shape the future of electricity generation from renewable sources. Schedule your meeting with us today and be part of this sustainable transformation.

Today, we'll embark on a fascinating journey through the Oil and Gas sector, exploring how computer simulation is shaping innovative designs and driving efficiency. From exploration fields to deep-sea operations, simulation is playing a crucial role. 1. Exploration Field Optimization 🌐 Simulation is fundamental in optimizing exploration fields. Advanced models are used to predict reservoir behavior, identifying flow, pressure and temperature patterns. This approach allows for more informed decision-making, maximizing hydrocarbon recovery. 2. Risk Analysis in Offshore Installations 🚢 In offshore projects, safety is a priority. Simulation is applied to assess risks in facilities, considering factors such as wind, waves and underwater structures. This enables the design of robust facilities, reducing the likelihood of incidents and ensuring safe working environments. 3. Optimization of Refining Processes🛢️ In the refining phase, simulation is used to optimize processes. Detailed models help adjust variables such as temperature, pressure and catalysts, seeking energy efficiency, cost reduction and compliance with environmental standards. 4. Predictive Maintenance Planning 🔧 Simulation also plays a crucial role in maintenance planning. Predictive models assess equipment wear over time, allowing for an optimized maintenance schedule. This approach reduces unplanned downtime, increasing operational efficiency. 5. Virtual Training for Operators 💻 Simulation is not just in the design, but also in the training. Virtual environments are created to simulate real-time operations, offering hands-on training to operators. This results in teams that are better prepared to deal with emergency situations and daily routines. 6. Ultra-Deep Water Exploration 🌊 Exploration projects in ultra-deep waters demand extreme precision. Simulation is crucial for modeling extreme conditions, helping to design structures and equipment capable of withstanding extreme pressures and temperatures. 7. Environmental Impact and Sustainability ♻️ Simulation also contributes to environmental assessments. Models allow analysis of the environmental impact of operations, helping to implement sustainable practices and comply with environmental regulations. 🔮 Future Challenges and Innovations in the oil and gas sector: The Oil and Gas sector continues to evolve, facing challenges such as energy transition and sustainability. Simulation will be an essential ally on this journey, providing critical insights for strategic decision-making. 📈Flomaster in Advanced Engineering Projects Simcenter Flomaster is an advanced tool, its ability to simulate pressure surges in pipelines is essential in the oil and gas sector. The example system "Ship to Shore" illustrates the use of a signal generator to simulate a pressure surge caused by the sudden closing of a valve in the Marine Breakable Coupling (MBC). This system models the transport of oil from an onshore terminal to an offshore buoy, a Single Mooring Point (SPM), highlighting the importance of relief of pressure to combat water hammer in pipes. Pressure vs Time in Export, Pressure Relief and Shipping Pumps Explore the power of simulation in the Oil and Gas sector with us! From exploration fields to sustainability, CAEXPERTS offers crucial solutions. Schedule a meeting to boost innovation in your business. Don't waste time, turn challenges into opportunities now! Related posts Development of Basic and Detailed Projects with FLOMASTER Discover how Flomaster can revolutionize the development of basic and detailed engineering projects. This article offers valuable insights into the use of this essential tool in computer simulations, highlighting its unique capabilities and how they can be applied to optimize engineering processes. FORAN: The Revolution in Naval Design Explore the revolution in naval design with FORAN, the advanced tool that is transforming the way engineers and designers create and develop vessels. Immerse yourself in innovative capabilities highlighting the redefinition of standards in the marine industry. From conceptual design to detailed construction, FORAN offers an integrated and efficient solution.