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CAD-embedded CFD simulation The new Simcenter FLOEFD 2406 software release enhances integration across Simcenter portfolio with import from Simcenter Flotherm XT software, introduces integration with Siemens NX PCB Exchange tool for greater workflow opportunities, adds Python scripting support for automation, speeds up handling of large CAD assemblies and much more. Read on to learn how new electronics cooling simulation oriented features and overall software enhancements that help you stay integrated, model the complexity, explore the possibilities and go faster in your simulation processes. Import Simcenter Flotherm XT models into Simcenter FLOEFD To enable easier model interchange and enhance communication between users and between organizations, you can now import a Simcenter Flotherm XT model into Simcenter FLOEFD and utilize the model set up from the original model. Export from Simcenter Flotherm XT and import into Simcenter FLOEFD This also helps users who are selecting to transition to using Simcenter FLOEFD to leverage a CAD-embedded analysis environment and take advantage of multi-physics oriented workflows including thermo-mechanical stress analysis capabilities within Simcenter FLOEFD . Below is a video showing the steps for importing exporting a thermal model from Simcenter Flotherm XT and then importing into the Simcenter FLOEFD . Leverage PCB Exchange with Simcenter FLOEFD PCB Exchange is an ECAD-MCAD bi-directional collaboration tool from Siemens Digital Industries Software allowing users to create and modify NX models leveraging EDA data. Capabilities have been added to PCB Exchange recently to create a simcenter FLOEFD project. The main capabilities are as follows: Create a Simcenter FLOEFD project directly from PCB Exchange EDA data is transferred as a Smart PCB, that users are familiar with PCB Exchange supports creation of wirebonds PCB Exchange is compatible with Simcenter FLOEFD for NX and Simcenter FLOEFD SC ( Simcenter FLOEFD for Simcenter 3D environment). Below is an extended demonstration video of a power electronics module thermal model analysis with the steps for importing PCB information shown using PCB exchange and the IDX file format and in particular components with wirebonds (via CCE file). Wire bonds are important to model in these types of applications. Model thermal vias quickly and easily in Simcenter FLOEFD 2406 New PCB thermal via modeling capabilities have been added to the Simcenter FLOEFD EDA Bridge so you can more easily explore thermal management options: Quickly add thermal vias by defining under a component Thermal vias are created as a cuboid representation of an array with orthotropic material properties when transferred to Simcenter FLOEFD How to add a thermal via representation under a component in EDA Bridge A thermal via region is created quickly by first selecting the relevant component and then adding the Thermal Via Region. How to edit PCB thermal via properties How do thermal vias appear in Simcenter FLOEFD 2406 Within Simcenter FLOEFD , a Thermal Via assembly is created within the parent component assembly. Geometry is created for each dielectric layer of the PCB. No geometry is created for the conducting layers since the additional conducting material from the via region is negligible. A material with an effective biaxial conductivity is automatically calculated from the thermal via properties and attached to each object in the thermal via assembly. Use a local system for point parameters You can now convert local coordinate systems to define point parameter locations. This means you can convert local system coordinates to a global one. For example if you select a local coordinate system, paste coordinates in from a table or import from a file, then you will be prompted if you want to convert them to global coordinates. Utilize simulation automation: PYTHON scripting support in EFDAPI Python is a widely used, popular scripting language for automation across engineering tools and functions. Simcenter FLOEFD 2406 introduces Python support for automation within the Simcenter FLOEFD API (the new EFDAPI was introduced in Simcenter FLOEFD 2312 ) . This opens up opportunities for pre-processing, simulation solve and post processing automation tasks. You can also pursue automating Simcenter FLOEFD operations within in multi-tool workflows for you analysis process. There are documentation and scripting examples available on Support Center to assist users. Below is a short simple demonstration video illustrating a Simcenter FLOEFD thermal analysis with all conditions, features and heat sources being created via Python script and how the simulation results are being post-processed and exported as an excel spreadsheet and graphic files. This is illustrated for an electronics cooling simulation model of a boost converter. Faster handling of large CAD assemblies It is now much faster to open, create and clone projects that contain thousands of component to 100K+ components. Of course any speed up is model dependent, 1.5 – 5 x faster for a model with 45K component to 100 to 150 x for a advanced package with 125K components (i.e lots of solder balls). Smart PCB thermal analysis memory consumption improvement The Smart PCB is one of several options for PCB thermal modeling and it is constantly being enhanced for speed, and memory use optimization. Smart PCB is a sophisticated approach to efficiently capture the detailed material distribution of a PCB without the added computational resource and time penalties typically required to model the PCB explicitly. It does this by using a network assembly approach , whereby a voxel-style grid based on the images of each PCB layer in imported EDA data is generated. In Simcenter FLOEFD 2406 , the solver has been optimized to further reduce memory required for thermal analysis. In comparison to the last 2306 release, memory use reduction is illustrated to be in the 18-20 % range. You can see this this illustrated for fine vs average approach for 3 types of board model in the figure below. Take advantage of the new features of Simcenter FLOEFD 2406 to optimize your simulation and electronic repair processes! Schedule a meeting with CAEXPERTS experts and discover how these innovations can improve your workflows, speed up training of large CAD assemblies, quickly and easily model thermal pathways, and more. Contact us and schedule right now! WhatsApp: +55 (48) 988144798 E-mail: contato@caexperts.com.br

The recent CAEXPERTS  webinar highlighted how simulation using Simcenter STAR-CCM+  is transforming the design and operation of agitated tanks. The integrated approach to engineering digitalization was a key focus, highlighting how to predict and optimize the behavior of complex processes, reduce costs and increase operational efficiency. 1. Why is Agitated Tank Simulation Necessary Today? With the growing demand for efficiency and innovation, agitated tank simulation is becoming a tool for industrial process design. Simcenter STAR-CCM+  allows you to explore multiple design variants and operating conditions, reducing the need for expensive experimental testing and increasing visualization of phenomena that only complex sensors can measure. In this way, companies can improve mixing quality, reduce energy consumption and increase productivity, creating more sustainable and competitive solutions. 2. Complex Geometry Manipulation and Multiphysics Modeling Simcenter STAR-CCM+  stands out for its ability to manipulate complex geometries, enabling the creation, modification and repair of CAD models directly in the software. With a flexible and robust mesh, the tool accurately captures geometric features, ensuring detailed and realistic results. Multiphysics modeling allows the simulation of complex interactions between different phases, such as gas-liquid or solid-liquid, and the prediction of the conversion and yield of chemical reactions. 3. Design Exploration and Workflow Automation with Admixtus Workflow automation with the Admixtus tool accelerates the configuration and simulation of mixing tanks. This approach facilitates the configuration of geometries, generation of meshes and definition of the physics involved in an automated manner based on best practices. The tool also facilitates the post-processing of results, generating reports and graphs in an integrated and customizable manner, ideal for exploring different design scenarios and operational conditions. 4. What Can Be Calculated Using Simulation? Simcenter STAR-CCM+  allows you to calculate a wide range of critical parameters for the optimization of agitated tanks, such as pumping and circulation rate, mixing time, flow field, shear rate, impeller torque, energy consumption, among others. These simulations are capable of predicting the performance of complex systems and adjusting design variables to achieve the best results. 5. Case Studies and Practical Impact Several case studies show the practical application of simulation. One of the highlights was the exploration of impeller positioning and rotation to minimize mixing time and reduce energy consumption in mixing tanks, resulting in significant process savings. Another study focused on the optimization of impellers and baffles, showing improvements in energy efficiency and mixing quality. 6. Challenges and Solutions for Agitated Tanks Key challenges addressed include energy efficiency, bubble and particle size distribution, and prediction of mixing quality in multiphase systems. Simulation helps minimize these challenges by enabling adjustments that improve process efficiency, reduce energy consumption, and increase design flexibility. The tool also facilitates the evaluation of new raw materials and process intensification, contributing to sustainability and cost management. 7. Solutions for Non-Newtonian Fluids During the webinar, we also addressed the challenges of mixing non-Newtonian fluids, such as polyacrylamide. Simulation with STAR-CCM+  allows for careful adjustment of the agitation speed and agitator design to avoid problems such as lump formation and inefficiency in the flocculation process. This type of analysis is essential to ensure the quality and homogeneity of the mixture, even under complex conditions. 8. Multiphase Models and Their Applications Simcenter STAR-CCM+  offers a comprehensive set of multiphase models, such as Discrete Element Method (DEM) and Volume of Fluid (VOF), which are used to capture the complexity of phase interactions. The Eulerian Multiphase (EMP) model is particularly useful for simulating the mixing of miscible fluids and predicting phenomena such as coalescence and break-up, essential for processes such as fermentation and polymerization. The ability to capture these complex effects is critical for simulating industrial processes involving multiple phases, such as gas-liquid or solid-liquid systems. 9. Heat and Mass Transfer, and Chemical Reactions The ability to simulate heat and mass transfer between different phases is essential for predicting the efficiency of chemical reactions in stirred tanks. STAR-CCM+  allows you to analyze everything from the dissolution of substances to heat transfer in complex systems, such as those involving heating or cooling coils. With dedicated models, it is possible to simulate reactions both within a phase and at the interface between phases. 10. Intelligent Design Optimization and Exploration The tool also stands out for its intelligent design exploration, combining multiple optimization strategies to find the best design configurations in fewer iterations. This includes performing Design of Experiments (DoE) and optimizing multiple objectives, such as minimizing mixing time and power requirements while maximizing yield and productivity. 11. Economic Impact and Return on Investment Finally, the economic impact of simulation is discussed, highlighting how reducing the number of experimental tests and optimizing the design can lead to significant savings. Simulation allows for accurate prediction of tank performance, reducing yield losses and scale -up  costs , as well as accelerating the development time of new products with greater reliability and much lower investments. 12. The Future of Simulation and the Redefining of Engineering The use of advanced tools such as STAR-CCM+  is redefining the way engineering is conducted. Digitizing processes allows for digital exploration and physical confirmation, minimizing the time and costs associated with physical testing. Using simulation, companies of all sizes can explore new designs and improve products more quickly and efficiently, while remaining competitive in an increasingly demanding market. The CAEXPERTS  webinar showed that agitated tank simulation with Simcenter STAR-CCM+  goes beyond simple analysis; it is an essential tool for innovation, efficiency, and competitiveness in today’s market. By adopting integrated digital simulation, companies can explore new design possibilities, reduce costs, and increase productivity in a sustainable way. Want to know how this technology can transform your processes? Schedule a meeting with us and find out how we can help your company optimize operations, reduce costs and increase competitiveness. WhatsApp: +55 (48) 988144798 E-mail: contato@caexperts.com.br

Welcome to the 3rd and final part of our special series of technical posts about computer simulations in engineering! If you want to have a complete overview of the project, check out the first part about CFD modeling  and the second about FEA analysis . In the first part, we detailed the multiphysics modeling and CFD simulation of a fuel cell using Simcenter STAR-CCM+ , while in the second part we did the modeling and structural analysis of a proton exchange membrane fuel cell (PEMFC) using Simcenter 3D . Case Study In the continuation of our series on fuel cell validation, we come to the third part, where we explore the simulation of fuel cells at the system level, that is, how they would operate integrated with other equipment and enable the analysis of their performance under different conditions. Unlike previous analyses focused on more detailed simulations, here we represent the behavior of the cell through a set of 1D equations simulated in Simcenter Amesim  software. This approach allows the integration of the cell model into a vehicle system. System simulation is a crucial step in understanding how a fuel cell behaves when incorporated into a larger system, such as an electric or hybrid vehicle. In this phase, the equations that govern the behavior of the fuel cell are solved together with the equations that describe the rest of the vehicle system. This approach provides a more holistic view of fuel cell performance in real-world operating scenarios. Furthermore, the systems approach simplifies fuel cell behavior without compromising the accuracy of the results. In this approach, key parameters such as energy production, fuel consumption and efficiency are represented by differential equations that capture the essentials of the cell's operation. Modeling Integrating a fuel cell stack into a vehicle system represents a significant challenge. Indeed, a fuel cell system encompasses a variety of components, such as the stack itself, as well as the auxiliary Balance of Plant (BOP) equipment, which includes the cooling circuit, the air and hydrogen supply systems, the humidifier, among other devices necessary for the proper operation of the cell. In addition, multi-physical phenomena are involved, including electricity, heat transfer, fluid flow, mechanical (inertial) resistances and electrochemistry. In this model, only the electrical aspect of the system was considered, which is the main focus of this study. This allows us to answer questions such as: Will the proposed fuel cell system offer a significant efficiency improvement compared to other conventional or hybrid vehicle configurations? What is the driving range of the fuel cell vehicle for a given duty cycle? Systemic modeling includes sets of differential equations that characterize the dynamic and steady-state behavior of fuel cell elements. These equations adopt different approaches to describe cell behavior and can be divided into quasi-static and dynamic models, depending on the phenomena involved. The results obtained in the Simcenter STAR-CCM+  software for the behavior of a single cell were extrapolated to a stack of cells. This stack was modeled as a stack of 200 cells connected in series, operating at a total voltage of 100 V. Each individual cell uses the polarization curve derived from the previous simulations. Polarization curve of a fuel cell obtained in the Star-CCM+ software  and imported into Amesim A relevant study in this context is the experimental scalability study carried out by Bonnet et al. [2008], which explores the extent to which a single cell or a reduced set of cells can faithfully represent a larger system. This study is especially useful for determining which experimental data from individual cells are still applicable at full scale, including operating data under conditions that are potentially adverse to the cell's durability. The main conclusions of the study indicate that: The polarization curves are nearly identical at different scales, suggesting that the scale effect is minimal under ideal conditions. Under varying air and hydrogen flow conditions, experiments with single cells and stacks show similar behaviors. The degradation effects with operating time follow similar trends at the different scales analyzed. The study on the impact of air humidification is not conclusive: at low relative humidity, the behavior of the cells is similar, but above 60% RH, significant differences appear. Integration with the Vehicle System Once the fuel cell has been modeled, the next step is to integrate it into the vehicle system model. Here, the interactions of the fuel cell with other vehicle components, such as the drivetrain, batteries, and control systems, are considered. The simulation allows predicting how the fuel cell will respond to different driving profiles, including variations in power demand, temperature, and other environmental conditions. Schematic representation of the vehicle system integrated with the fuel cell. The simulation was performed with a lightweight vehicle weighing 1928 kg operating at a fixed torque conversion ratio of 1:8.786. The fuel cell was sized to deliver 88 kW, supplemented by a 1.5 kWh battery. Detailed system information and the corresponding model can be seen in the figure below. Vehicle system model and system information in Simcenter Amesim The driving cycle used in this simulation was the Japanese Cycle 08 (JC08) normalized cycle . The test represents driving in congested urban traffic, including periods of idling and frequent alternations of acceleration and deceleration. It is used for emissions measurement and fuel economy determination. The parameters selected for the JC08 cycle include: Duration:  1204 s Total distance:  8,171 km Average speed:  24.4 km/h (34.8 km/h excluding idling) Top speed:  81.6 km/h Load ratio:  29.7% The velocity curve along the JC08 cycle Source: https://dieselnet.com/standards/cycles/jp_jc08.php Results: Performance Analysis under Operating Conditions Integrating the fuel cell model into the vehicle system enables performance analysis under a variety of operating conditions. For example, system efficiency can be assessed during sudden acceleration, regenerative braking, and steady-state operation. These scenarios provide valuable data for model validation and system design refinement. Plot of simulated speed versus driving cycle It can be observed that the simulated speed follows the driving cycle, indicating that the traction system is sized appropriately. Furthermore, in this same cycle, we can observe consumption and acceleration characteristics, as well as extrapolate the average consumption to define the vehicle's autonomy. This autonomy calculation only considers the use of the fuel cell, without taking into account the potential use of the battery for vehicle propulsion when the fuel tank is empty. Representation of the main characteristics of the system during the JC08 cycle This analysis also includes the transient behavior of the system in terms of consumption and battery charge status. Fuel consumption during the driving cycle Evolution of the battery charge state during the driving cycle The following graph shows the power control of the power bus. For lower power demands, power is supplied by the battery. When power demand is higher, the fuel cell supplies the power. During regenerative braking, power is directed to the battery for charging. Power distribution between fuel cell and battery Conclusion System simulation is a powerful tool that complements the detailed analyses performed in the previous steps. By integrating the fuel cell into a vehicle system, we can obtain a more complete and accurate view of its behavior under real-world conditions. This approach enables the development of efficient and reliable propulsion systems. This analysis reinforces the importance of validating fuel cell performance not only at the component level, but also in its final application. Want to learn more and in more detail?  Schedule a meeting or contact CAEXPERTS  through our communication channels  to discuss how we can collaborate in the optimization and validation of your project, integrating innovative solutions that increase performance in real conditions. Our team is ready to offer the necessary support to transform your simulations into concrete results. Also, follow our LinkedIn page @CAEXPERTS  for more insights and news! WhatsApp: +55 (48) 988144798 E-mail: contato@caexperts.com.br Reference Bonnet, C., Didierjean, S., Guillet, N., Besse, S., Colinart, T., & Carré, P. (2008). Design of an 80kW PEM Fuel Cell System: Scale Up Effect Investigation. Journal of Power Sources, 182(2), 441–448. DOI: https://doi.org/10.1016/j.jpowsour.2007.12.100 .

HEEDS HEEDS is a powerful design space exploration and optimization software package that interfaces with all commercial computer-aided design (CAD) and computer-aided engineering (CAE) tools to drive product innovation. HEEDS accelerates the product development process by automating analysis workflows (Process Automation), maximizing available hardware and software computational resources (Distributed Execution), and efficiently exploring the design space for innovative solutions (Efficient Search), while evaluating new concepts ensuring that the performance requirements are met ( Insight & Discovery ). Contact an Expert Process automation Distributed Execution Efficient Search Insight & Discovery HEEDS enables automated workflows to make it easier to drive product development processes. With an extensive list of interfaces designed for commercial CAD and CAE tools, HEEDS quickly and easily integrates many technologies without the need for custom scripts . Data is automatically shared across different modeling and simulation products to assess performance tradeoffs and design robustness. ​ ​ HEEDS leverages existing hardware investments by making efficient use of all available hardware resources . Utilize Windows and Linux-based workstations or clusters , on-premises or offsite, as well as cloud computing resources to accelerate the development of innovative products. For example, geometry modifications can be automated on a Windows® operating system laptop , a structural deformation simulation can be performed on a Linux workstation, and a computational fluid dynamics (CFD) simulation can be performed on multiple computer cores. a Linux cluster , or in the cloud. ​ ​ Unlike most traditional optimization tools, which require highly specialized technical knowledge and model simplification to enable efficient search, all designers and engineers can use HEEDS to achieve innovation. HEEDS includes proprietary Design Space Exploration functionality to efficiently find design concepts that meet or exceed performance requirements. HEEDS automatically adapts its search strategy as it learns more about the design space to find the best possible solution within the allotted time frame. It's easy to use, designed to meet deadlines, and capable of delivering significant value! HEEDS provides the ability to easily compare performance across a broad spectrum of designs that exhibit desirable characteristics and robustness. The software helps users visualize project performance trade-offs between competing objectives and constraints with a variety of charts, tables and images to gain insights and discover innovative solutions. This facilitates the development of production-ready designs; enabling a truly digital twin! ⇐ Back to Tools

Thermofluid Dynamic Systems Thermofluid dynamic systems are those involving the transfer of thermal energy and the transport of fluids through pipes and equipment. They are widely used in a variety of industrial applications, such as power generation, refrigeration, heating systems, vehicles, chemical industry, aerospace industry, oil and gas industry, among others. ​ The main advantage of using a thermofluid dynamic analysis is the possibility of predicting the one-dimensional (1D) behavior of a piping system under different conditions, which can be very useful in optimizing performance. In addition, this approach allows for accurate computer simulations to be carried out, which can be very useful in decision-making and in the design of new facilities. This can lead to an improvement in energy efficiency, a reduction in operating costs and even increased facility safety. Contact an Expert Power generation HVAC Chemical industry Automotive industry Aerospace Industry Oil and Gas Industry They are fundamental for designing and optimizing large complex power generation systems. They make it possible to study and evaluate the performance of different applications, such as hydroelectric, thermoelectric, geothermal plants, solar plants of various types, steam production, boilers, thermodynamic cycles, thermal machines, pumping, heat exchangers, cooling towers, reservoirs and storage. thermal. This helps design and optimize these systems more quickly and efficiently, and facilitates innovation and sustainability. With the simulators, it is possible to evaluate the best options and optimize global performance, reducing costs and improving energy efficiency. ​ ​ Allow HVAC designers and engineers to evaluate the performance of HVAC systems prior to construction. They are valuable tools for sizing, equipment selection and balancing of complex piping networks, optimizing energy consumption and operational stability. In addition, simulators also help to design innovative HVAC systems, meeting established sustainability goals, evaluating alternatives and simulating critical scenarios, making the project more intelligent and efficient, both in terms of implementation and operation costs. ​ ​ They are used in all stages of the transformation process of a chemical industry. They are useful for the design, optimization and control of chemical processes, and can be used to improve mixing of reagents and find optimal operating conditions to improve reaction kinetics and increase conversion of reactants to products. Furthermore, these tools can also be used to simulate critical scenarios and test different conditions before implementing changes in production, which ensures process safety and efficiency. They can also be used to optimize resource utilization and minimize operating costs. The use of simulators also allows the innovation of new processes and projects, helping the chemical industry to remain competitive. ​ ​ ​ ​ Necessary for designing and optimizing combustion, lubrication, cooling and other systems. They allow you to evaluate different design options, identifying potential problems before mass production, allowing you to implement solutions and choose those that offer the best performance in the most efficient way. Furthermore, these simulations can also be used to optimize energy efficiency, minimize costs and improve vehicle safety. The use of simulators is an important tool for the automotive industry, as it allows the development of new projects and technologies, helping to maintain competitiveness in the market. ​ ​ ​ ​ The aerospace industry uses simulation tools to design, optimize and predict problems in aeronautical systems such as propulsion, climate control, refrigeration, cooling and armament. These tools make it possible to evaluate different design options and identify potential problems before mass production, ensuring the safety and efficiency of aerospace devices and allowing the innovation of new designs and technologies. They also make it possible to predict the need to replace devices before failures occur and optimize overall performance, in addition to minimizing operating costs. They assist engineers in the design, equipment sizing, optimization and control of important processes such as fluid transport, heat transfer, refining, chemical reactions and energy production. This allows for energy integration of plant streams and increases production yields, as well as reducing operating costs and increasing safety. The simulations also make it possible to identify and prevent failures in the process, extending the useful life of the equipment and preventing failures that cause the plant to stop unexpectedly. In addition, operators can use these tools to train industrial plant control, ensuring process safety and efficiency. ​ Simcenter FloMASTER Simcenter FloEFD Simcenter Flomaster is an advanced simulation tool for the design and operation of 1D thermofluid dynamic systems such as piping systems. It allows you to create detailed virtual models of systems of any scale and complexity, including piping, pumps, valves, heat exchangers and other components. With this tool, it is possible to simulate the operation of the system under different conditions, evaluate the performance in terms of flow, pressure, temperature and other variables, and simulate dynamic/transient events, such as failures or emergencies, to assess the system's safety and take Preventive measures. ​ Simcenter Flomaster can also be integrated with other tools and platforms such as PLM, CAD, Simulation and Industrial IoT, which facilitates decision-making and implementation of system improvements. It also allows you to create a detailed digital model of the system and reuse it during operation for virtual monitoring and online sensors, which increases efficiency and ensures system security. In summary, it is a fundamental tool to create and use digital twins of processes, guaranteeing efficiency and operational security. ​ ​ Simcenter FLOEFD is an advanced 3D CFD (computational fluid dynamics) tool that allows designers to explore the potential of their ideas directly in their CAD software. It is capable of simulating the impact of changes to geometry or boundary conditions quickly and easily, enabling frequent "what if" analysis. In addition, Simcenter FLOEFD generates detailed reports within the CAD platform chosen by the user. ​ When integrated with Simcenter Flomaster, this software allows the generation of reduced order models that can be included as additional components to the flowchart, improving the accuracy of the simulations of the processes under study and allowing a more detailed and accurate analysis of the system's performance. The combination of Simcenter FLOEFD and Simcenter Flomaster allows obtaining a complete and accurate view of the operation of a process and making more assertive decisions about the design and operation of the analyzed system. ⇐ Back to Disciplines

Project Optimization In optimization, one can look for values ​​minimizing/maximizing a mathematical function through the systematic choice of values ​​that allows the comparison between different configurations and a detailed study of the models in different physics. Contact an Expert Keep designing, even after shifts Structural, thermal, acoustic, electrical design and whatever else is needed The high degree of automation of SIEMENS DIGITAL INDUSTRIES tools ensures that, even while the engineering team rests, your company continues to generate value, products and innovative solutions. This feature ensures that the engineering team can dedicate their time to the innovation and product development processes, while the software takes care of testing the solutions, delivering the best possible option. Optimization software from Siemens Digital Industries has the ability to deal with different physics together, integrating calculation routines already validated by companies with the most popular CAE applications on the market . This allows the complete integration of the entire production and design cycle, integrating the engineering areas, making it possible to optimize products and projects with a focus on reducing raw material costs, production time, efficiency and product robustness. All this in the same software , in an integrated and automated way. HEEDS Software specialized in optimization, capable of evaluating data from different sources in search of the best design alternatives using CAD/CAE parameters. ⇐ Voltar para Serviços