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Deliver instant predictions with AI. Accelerate multiphase CFD with GPUs. Boost performance across CPU–GPU resources. Speed-up vehicle wading simulations with SPH solver. Plus, many more. AI‑powered Geometric Deep Learning (GDL) in Simcenter STAR‑CCM+ 2602 enables instant predictions to evaluate design variants in real time and accelerate early‑stage decision‑making. This release also brings GPU‑native support for Volume Of Fluid (VOF) and Mixture Multiphase (MMP) solvers, along with improved multi‑GPU scaling that significantly reduces turnaround time across multiphase and large‑scale CFD workloads. New GPU flexibility, including AMD support on Windows and smarter CPU/GPU co‑utilization, helps extract full value from engineers’ hardware, regardless of operating environment. Foundational accuracy improvements, such as enhanced prism‑layer meshing and fully conservative implicit mixing planes, strengthen numerical robustness and confidence in results. Application‑specific advances, from vehicle wading with SPH to more efficient transient automotive aerodynamics, further reduce engineering cycle time. Together, these upgrades allow to simulate more designs, with higher fidelity, on more hardware configurations, ultimately enabling faster, more confident engineering decisions. Faster convergence, increased accuracy and robustness with Enhanced Quality Prisms Complex geometries often force prism layers to retract, especially near concave and convex corners, thereby degrading near‑wall mesh quality and slowing convergence. CFD engineers frequently face “hanging node” transitions that complicate boundary layer continuity and make it harder to achieve robust turbulence resolution at the wall. In Simcenter STAR‑CCM+ 2602 , activate the Enhanced Quality Prism layer mesher to generate thicker, better‑behaved layers and preserve layer integrity in problematic corners. This will reduce prism retraction and eliminate hanging‑node topologies at layer transitions, which stabilizes residuals and accelerates solver convergence. This improvement translates to cleaner boundary‑layer representation and more trustworthy wall‑shear, heat‑transfer, and separation predictions. Across aerospace and automotive use cases, gain robustness on challenging surfaces and cut the number of restarts required to reach targets. The net effect is a smoother residual drop and earlier asymptotic behavior, which shortens the path to engineering decisions. Ultimately, achieve faster convergence with increased accuracy and robustness. Full conservation at implicit mixing planes with improved solver stability When rotors and stators couple through implicit mixing planes with poor conformality, energy conservation suffers and total pressure/temperature errors creep into turbomachinery predictions. Those inaccuracies can mask true stage performance and compromise design choices. In multi-stage configurations, these errors compound, undermining the confidence engineers require to optimize compressors and turbine designs. With Simcenter STAR-CCM+ 2602 , apply an enhanced boundary value update strategy together with imprint binning at the mixing plane to enforce conservation more faithfully. Stabilize the solver across mesh types and lower the error on total pressure and total temperature by an order of magnitude, while maintaining full compatibility with existing simulation workflows. The result is more reliable predictions, robust solver convergence, and the precision needed when simulation informs critical design decisions. No workflow changes required – just better physics and better answers. Instant external aerodynamics predictions Early design stages require fast solutions to quickly assess multiple variants and guide key decisions. Having rapid insight at this phase enables broader exploration and quicker alignment on optimal concepts. With Simcenter STAR‑CCM+ 2602 , Geometric Deep Learning (GDL) capabilities are integrated directly into Simcenter STAR-CCM+ Design Manager, removing friction between simulation and prediction. Train predictive models that evaluate performance in minutes, using only a minimal set of simulations or leveraging existing CFD datasets. Working directly within the familiar Design Manager environment avoid external data transfers and keep iteration fluid and intuitive. Dual‑prediction by comparing side by side CFD results and AI inference give confidence to explore the design space. As GDL predictions replace hours‑long CFD loops, focus high‑fidelity simulations only on the most promising concepts. This approach compresses early design phases while preserving accuracy where it matters most. The result is rapid external aerodynamics predictions that enable decision‑grade design iteration at a glance. Leverage existing simulation results Engineers often sit on years of high‑value simulation results from previous projects, yet these datasets remain underused when it comes to accelerating new AI‑driven workflows like the abovementioned GDL. Re‑running simulations solely to generate training data slows adoption of predictive methods and duplicates past effort. With Simcenter STAR‑CCM+ 2602 , import existing simulation results directly into Design Manager to reuse them as training data for Geometric Deep Learning (GDL) models. Leverage proven datasets, whether from legacy projects or single standalone runs, without changing your established CFD practices. Using Design Manager’s automated workflows, generate consistent post‑processing across imported results, ensuring data quality and comparability. Compare multiple simulation files side by side in a unified environment, making trends and sensitivities easier to identify. This capability extends the value of historical CFD investments while accelerating surrogate‑model creation. As a result, build predictive GDL models faster, with less manual effort and fewer new simulations. Ultimately, exploit existing results to scale AI‑driven design exploration with confidence. Get faster results for multiphase applications Volume Of Fluid (VOF) and Mixture Multiphase (MMP) cases, especially those involving free surfaces or phase change, previously had long run times, offering less opportunities for users to make design changes. With Simcenter STAR-CCM+ 2602 , multiphase simulations can now be executed on GPUs using GPU-native VOF and MMP solvers, representing a major step forward in multiphase simulation acceleration. This capability includes support for phase change and surface tension models, broadening the set of industrial scenarios which can be covered on GPU. It also integrates acceleration techniques such as implicit multi-step and supports multiple regime through MMP-LSI (Large Scale Interface). Because the same solver is used for both CPU and GPU executions, the same results are guaranteed, provided that the solutions are well converged on each hardware type. In terms of performance, a single GPU matches the throughput of approximately 250 CPU cores for a tank‑sloshing case for example, while consuming only 19% of the energy required for the CPU run. This GPU‑based acceleration delivers substantial benefits for multiphase applications in sectors such as automotive, marine, and process engineering, where free‑surface behavior and interphase interaction are critical. The improved throughput enables broader design‑space exploration, increased design confidence, and more effective risk management. Up to 20% enhanced multi-GPU performance While GPU acceleration significantly speeds up CFD simulations, a common challenge arises when scaling to multiple GPUs: the computational overhead of data transfer and communication between devices can hinder efficiency. This often limits the practical benefit of adding more GPUs, as the speedup doesn’t always scale linearly. This bottleneck can prevent users from fully leveraging their multi-GPU hardware investments for larger, more complex simulations. With Simcenter STAR-CCM+ 2602 , leverage enhanced multi-GPU scalability. This improvement offers more proportional increase in simulation speed as additional GPUs are added, enabling greater parallelization. This delivers a noticeable increase in throughput for large and complex CFD models. Achieve faster turnaround times by effectively utilizing multiple GPUs on a single workstation or on multi-node servers. This enhanced scalability maximizes the value of multi-GPU hardware, allows extensive design exploration and accelerates the entire simulation workflow up to 20% at higher GPU counts. Maximize flexibility to leverage GPU-enabled CFD acceleration Many Windows workstations come with powerful AMD GPUs that, until now, couldn’t be used for CFD workloads in earlier Simcenter STAR-CCM+ versions. This limitation often forced engineers to move jobs to other machines or operating systems, complicating IT planning and slowing down local execution. This meant existing hardware investments were underutilized, creating a significant barrier to efficient workflow. With Simcenter STAR‑CCM+ 2602 , full AMD GPU acceleration on Windows removes this limitation. This pivotal development unlocks these devices for production simulations: run complex cases with competitive performance directly on preferred workstations. This advancement bridges the software gap and enables the full potential of AMD hardware. Broaden deployment choices and simplify IT planning across operating systems. Streamline license allocation and keep analysts productive in their preferred environment. Make more of installed hardware viable: maximize flexibility and budget efficiency by leveraging AMD GPU resources for accelerated CFD with Simcenter STAR-CCM+ 2602 . Make more out of your CPU and GPU resources In high-performance computing, especially on GPU nodes, a key challenge arises because certain simulation tasks, like surface wrapping or post-processing, remain inherently CPU-bound. This often leads to underutilized CPU resources, as a fixed CPU-to-GPU ratio can leave significant CPU power idle during GPU-intensive phases. This inefficiency slows down overall simulation turnaround and wastes valuable computing capacity. With Simcenter STAR-CCM+ 2602 , dynamically engage available CPU cores for multi-threaded tasks, even while GPUs are heavily engaged, with adaptive utilization of CPUs on GPU nodes. This ensures that CPU-bound portions of a simulation no longer cause delays or leave valuable CPU resources idle, optimizing the entire workflow. Leverage a more holistic and efficient use of the entire computing node. Experience significant speed-ups and potential computational cost reductions for simulations involving complex pre-processing or specific physics like sliding mesh. Accelerate your path to innovation with this harmonious approach, ensuring that every component, both CPU and GPU, contributes optimally to the overall simulation effort. Faster turnaround time for vehicle wading applications Traditional vehicle wading analyses involve time‑consuming, complex workflows to set up water interaction, tire–road contact, and suspension response. Achieving local resolution where it matters adds further overhead. With Simcenter STAR‑CCM+ 2602 , tackle vehicle wading using the SPH solver, refine particles around the vehicle to increase local accuracy, and resolve dynamic motion including suspension and tire‑road contact. Analyze backplate mechanical stresses and predict wetting, bringing structural and hydrodynamic considerations together. This streamlined approach reduces overall turnaround while improving fidelity where forces and splashes peak. The simplified setup lowers the barrier to routine wading assessments across variants and trims. The payoff is faster turnaround time for vehicle wading applications. Ready to transform your CFD simulations with AI and GPU acceleration? Schedule a meeting with CAEXPERTS and discover how to practically apply the most advanced features of Simcenter STAR-CCM+ to dramatically reduce response time, increase accuracy, and empower your engineering decisions with greater efficiency and confidence. WhatsApp: +55 (48) 98814-4798 E-mail: contato@caexperts.com.br

A game-changer in renewable energy. This blog post highlights how Simcenter System Simulation helps addressing your industrial Solar Photovoltaic (PV) challenges. SolarPV systems are complex systems since they’re often combined with other surroundings like residentials, fast charging stations for electric vehicles, BESS (battery energy storage systems) or microgrids, up to space stations and satellites. It requires many different physics inside (electrics, thermal, semiconductors, …) with important aspects of system integration, controls, up to the techno-economic analysis to be successful (OPEX/CAPEX, weather conditions, load balancing). With its costs declining and technology advancing, more organizations are turning to solar as a leading option for power generation. Solar Photovoltaic tends to become the first source of renewables energies worldwide, before wind turbines hydroelectric powers or nuclear. This is an amazing increase of its installed capacity. Solar power is today mandatory to ensure great successes in the decarbonization path towards a more sustainable world. Let’s see how System Simulation is driving the digital transformation to tackle all your Solar Photovoltaic challenges. Solar photovoltaic (PV) is key in many industries Solar Photovoltaic (Solar PV) is a technology for converting the sunlight (solar radiation) into electricity with semiconductors. Solar photovoltaic converts solar radiation into electricity Solar photovoltaic systems are today present in all industries, from stationary applications (residentials, …) up to mobility (space, marine, …) and for sure in the Energy sector with its always keep-growing part in the power generation from renewables (sun, wind, hydropower, waves, heat, …). All industries need SolarPV for decarbonization Below is an example of a satellite power system represented in Simcenter Amesim , part of the Simcenter System Simulation portfolio. The digital twin with System Simulation helps for the preliminary sizing of the solar panel and battery pack to reach the requirements. Alternation of eclipse (shade) and daylight provides the solar irradiance in geostationary orbit Just to say, as claimed by the “Internation Energy Agency” (IEA), that the solar PV is set to become the largest renewable energy source by 2029. There has been exponential growth in the deployment of photovoltaic solar energy, with its global capacity now growing at a historic pace. From 2018 to 2023, it tripled. Renewable electricity generation with solar PV to become the largest renewable source Between 2024 and 2030, the solar PV technology is expected to account for 80% of the growth in global renewable capacity. While solar PV is planned to become soon the largest renewable source, surpassing both wind and hydropower, which is currently the largest renewable generation source by far. Top things to know While solar PV is a well-known technology for years, it’s quite recently that the interest grew up in System Simulation to better predict its behavior, either focusing on the component itself or regarding its complete integration within larger systems with advanced controls and fluctuating scenarios (weather conditions, energy demand within the day, energy price evolution, smart adaptative controllers, …). From a solar cell to a photovoltaic (PV) system With Simcenter Amesim , you can predict the solar panel energy production to help reaching great successes for the energy transition. You can size the solar panel from the number of solar arrays, the number of cells and the single cell area. You can enter the city you’re located or its GPS position, the weather conditions to consider if it’s cloudy or not, the ground reflection coefficient or the turbidity factor. Then you’ll get the energy produced over the day or over the months so you’ll know the results for all the seasons. Photovoltaic power generation potential – Source: globalsolaratlas.info Simcenter Amesim is typically used for system integration combining the different subsystems involved like {solar PV + controls + power electronics + microgrids + residentials + consumers}. With Simcenter Amesim , you can address and solve all these challenges from solar panels to smart integrated systems: 📐 Sizing and performances ♻️ System efficiency ❄️ Thermal management, cooling 💧 Green Hydrogen production 🔋 BESS (battery energy storage systems) 🔌 Connection to the grid/micro-grid, power converters, inverters 💡 Maximum Power Point Tracking (MPPT) 🧭 Panel trackers, best solar spots 🏠 Industries: residential, water-heaters, ships, cars, EVs, airplanes The users can drag and drop the predefined components (no coding) to assemble them together to get their complete systems. While the execution is very fast, it takes only few seconds/minutes of CPU-time to compute the complete day / week / year with economical aspects included. Why Simcenter Amesim is perfect for solar photovoltaic Well, Simcenter Amesim offers all what you need to investigate your solar photovoltaic systems. It comes with off-the-shelf libraries of physical components (electrics, thermal, …) that can be combined in one environment, also with great solvers to reach advanced integration and real-time system monitoring. Up to the virtual commissioning with advanced control strategy testing before the real system exists. You have great benefits using the solar photovoltaic components to: set up the model parameters from datasheet information scale up the PV cell easily into solar panel or array account for the temperature and solar irradiance on the electrical performance of the PV cell get solar irradiance according to GPS coordinates, altitude & date Temperature-dependent efficiency calculations for different irradiance values There’s indeed a huge variability in the configurations due to the different locations (Berlin, Xinjiang, Mexico, Abu Dhabi) and weather conditions (summer, winter), that directly impact the system performances for the local implementation onsite. That’s the reason why users need to explore solar PV digitally to reduce expensive testing time and gain confidence in their products early in the design cycles. City selection worldwide, or with (variable) GPS positions from coordinates Practically there are many challenges to solve. They come from the usual sizing or thermal management / cooling to improve its efficiency, up to more advanced analysis like the control strategy development with “Maximum Power Point Tracking” (MPPT) optimization, the integration with BESS (battery energy storage systems) or the connection to the grids/micro-grids with power electronics components (converters, inverters, …). Typical challenges for solar photovoltaic It’s also easy to address the complete Green Hydrogen Production over days/months of operations. Also generating automatically some optimal controllers to take into account the weather forecast or the energy price evolutions with Artificial Intelligence (AI) thanks to Reduced Order Models (ROM), Neural Networks (NN) or Reinforcement Learning (RL). Solar panels production over 12 months Complete system integration Let’s go through a couple of examples with Solar photovoltaic systems integrated into larger installations. Just to show how we can go from solar panels to smart integrated systems thanks to the multiphysics and scalable digital twins. So that engineers can handle complex interactions between different physical phenomena and model the complete energy conversion chain from solar radiation to electrical output. It practically allows them to match the dynamic load profiles, to optimize the peak power, to achieve the appropriate cost-effective system dimensioning. While combined with the built-in powerful analysis tools coming with Simcenter Amesim , users can investigate their energy yield predictions, the performance ratio calculations, or the power loss analysis, all with some detailed parametric studies. Going up to the monitoring of the system efficiency in real-time over some short (minutes) to long periods (months) of simulated time. What a valuable achievement! For example, the model shown here predicts the performances of the system depending on the meteorological (weather) conditions and the localization of the system. Green energy production with different sources of renewable energies including solar PV After running quick simulations executed in few minutes for the complete 1 year (12 months), several architectures or component sizing choices can be rated to select the most efficient and profitable designs. Solar panels production with all variables accessible For the solar panels, you can consider the solar azimuth (side angle), the solar altitude (solar incidence / horizontal), the irradiation power from sun to surface [W], the radiative power from ambient to surface [W], or the surface inclination. To access any types of results like the solar panel electric power [W], the photogenerated current density [A/cm²] or the solar panel electric current [A]. And when zooming, you can even follow the evolutions during the current day / night. Another application is the sustainability and energy efficiency in the Data Center industry. Today they are responsible for up to the 3% of the global electricity consumption and they will reach 4% by 2030. That’s why the market decided to take actions towards a reduction of their carbon footprint and to make the energy consumption more efficient, also due to expected tighter regulations. One possibility is the consider renewable energies for power generation, typically with solar panels. Data Centers – Conventional 480V AC electric power distribution with PV panels integration With Simcenter Amesim , you can properly size the solar panel arrays based on the location and cloud coverage. Here, three different cities are compared simply by selecting them from a menu and we see that the solar radiation in Paris at a specific date and hour is almost the half than in Tokyo or New York. It’s really nice to know this upfront, before you’ll try to adapt all parts onsite! Regarding the electric power distribution architectures, their performance can be improved using high-efficiency transformers and converters, with the deployment of renewable energies and the loads balancing. All these aspects need to be checked and it’s where System Simulation can definitely help to take the right decisions. And to finally verify virtually that your new system design is fully compatible with the electric load, and that everything can be supplied properly to the grid. Then you can even go one step further in the analysis for predicting the controller parameters appropriately depending on weather forecast and streamed data. It’s the new challenge to come, so that you could improve your right decisions for OPEX (operating expenses) and CAPEX (capital expenditures). Grid supervisory control, combining AI, weather forecast and streamed data It’s a good way to manage real-world scenarios, including partial shading (cloud cover variations, temperature fluctuations, seasonal changes, load demand variations). And in some extend, to investigate the grid disturbances during huge variations of boundary conditions and cascading events. System Simulation is the right approach to use for a large audience going from solar PV system designers, energy system integrators, research institutions, utility companies or energy consultants. Just to say that System Simulation is perfect and well appropriate to reach nice achievements for sustainability through solar PV in your company. System simulation plays a crucial role To conclude, let’s summarize how System simulation plays a crucial role in the techno-economic assessment of solar photovoltaic (PV) systems. Solar industry to reduce carbon footprint You can address some key aspects like: Performance prediction Design optimization Environmental impact analysis Economic analysis. Overall, system simulation provides a comprehensive framework for evaluating the technical and economic feasibility of Solar Photovoltaic projects, helping stakeholders make informed decisions about investments and operations. Energy segmentation – System Simulation in all industries In summary, embracing Solar Photovoltaic systems in product development requires a strategic approach, early-stage considerations, and advanced tools like physics-based digital twins to navigate the complexities and leverage Solar Photovoltaic (PV) as a competitive advantage. System Simulation definitely helps being successful in your Solar Photovoltaic journey thanks to digitalization. Ready to take your solar photovoltaic energy projects to a new level of performance, efficiency, and predictability? CAEXPERTS can help your company apply the power of System Simulation and digital twins to confidently size, optimize, and integrate photovoltaic systems from the early stages. Schedule a meeting with our experts and discover how to accelerate your energy transition with greater safety, lower cost, and better results. WhatsApp: +55 (48) 98814-4798 E-mail: contato@caexperts.com.br

Why NVH performance matters The electric vehicle (EV) revolution is here, promising a cleaner, more efficient future for transportation. But as the roar of internal combustion engines fades, a new challenge emerges: the intrinsic quietness of Electric Drive Units (EDUs) brings the subtle sounds and vibrations of other components, especially the geartrain, into sharp focus. For automotive engineers, this means NVH (Noise, Vibration, and Harshness) performance is more critical than ever. In the fiercely competitive EV market, OEMs and TIER1 suppliers are under immense pressure to innovate rapidly. This intense competition demands: Faster Time-to-Market: Consumers expect cutting-edge features in new models, quickly. Cost Efficiency: Maximizing efficiency to reduce product development costs and protect shrinking margins. Digital Transformation: A strong drive towards increased digitalization and reduced reliance on costly physical prototypes. These factors collectively force companies to significantly accelerate their product development cycles. The NVH bottleneck Accurately predicting geartrain NVH performance – and ultimately replacing expensive physical prototype testing – demands high-fidelity time domain simulation. However, this type of simulation has traditionally been incredibly computationally-intensive, leading to: Long Turnaround Times: Design studies can take days or even weeks. Late-Stage Validation: Often relegated to the later stages of the development cycle, limiting its impact on initial design decisions. This bottleneck significantly hinders the agility and effectiveness of the geartrain development process. The new Motion solver Enter the new 2512 release of Simcenter 3D Motion , featuring the groundbreaking Modern Motion Solver for geartrain time domain simulation. This isn’t just an update; it’s a leap forward. This is exactly the reason why we invite our customers to test this new capability, see the note below. Engineered for Speed: Built on a cutting-edge C++ code architecture, the Modern Motion Solver efficiently tackles even the largest and most complex models. Scalable Performance: It fully leverages parallel processing, allowing a single time domain simulation to be solved across multiple threads simultaneously. Proven Results: Extensive tests on a suite of industrial geartrain models demonstrate performance improvements up to 5 times faster compared to the 2412 release – all while maintaining the same unparalleled accuracy. Imagine the possibilities: evaluating significantly more designs, exploring a wider parameter space, and bringing innovative EV geartrains to market faster than ever before. Want to accelerate the development of electric vehicles and overcome NVH challenges much more efficiently? Schedule a meeting with CAEXPERTS and discover how Simcenter 3D Motion's new Modern Motion Solver can significantly reduce simulation time, increase accuracy and think about innovation in your projects. Our team is ready to present, in practice, how this technology can transform your results. WhatsApp: +55 (48) 98814-4798 E-mail: contato@caexperts.com.br

SIEMENS NX delivers the next generation of design, simulation and manufacturing solutions that enable companies to realize the value of the digital twin. NX for Design; Automate electrode design; Additive Manufacturing; Tool Design; Mold; Headquarters; Stamping; Generative Engineering; Direct and Synchronous Modeling NX NX is a flexible and powerful integrated solution that helps you deliver better products faster and more efficiently. It offers the next generation of design , simulation and manufacturing solutions that enable companies to realize the value of the digital twin. Supporting all aspects of product development, from conceptual design to engineering and manufacturing, NX offers an integrated toolset that coordinates disciplines, preserves data integrity, design intent, and streamlines the entire process. Contact an Expert NX for Design NX for manufacturing Automate electrode design Additive Manufacturing Tools and accessories design Mold design Progressive matrix design Stamping die design Generative Engineering The industry's most powerful, flexible and innovative product development solution, NX has the performance and features to help you get your product to market faster than ever before. Drive efficient end-to-end part manufacturing operations and deliver high-precision parts through digitalization. Program CNC machine tools, control robotic cells, 3D printers and monitor quality using one software system. Digitally transform your parts manufacturing business to gain productivity and increase profitability. The electrode design software application in NX simplifies electrode modeling and design for any tool design that requires electrical discharge machining (EDM). NX electrode design software offers a time - saving, step-by-step solution that automates the entire EDM process, from design to production. It even helps manage even the most complex and challenging electrodes. Industrialize additive manufacturing and create revolutionary products using our integrated software . Design, simulate, prepare, print and validate prototypes or production parts on a wide range of 3D printing equipment. Automate the design of associative molds, fixtures, and stamping and progressive dies using process-based design applications. Accelerate the entire mold development process, including part design, tooling design, and motion validation. Ensure rapid response to design changes and high quality molds. Improve productivity by automating the most tedious tasks and streamlining complex progressive die design processes. Use a comprehensive solution for free-form and straight-break sheet metal parts. Use advanced features to design automotive stamping dies, including formability analysis, die planning, die face design, detailed die structure design, and die validation. A generative design process is one that engineers can adopt to rapidly develop new products based on meeting design constraints. It is an iterative process that produces quick results that the engineer can refine through constraint variation to find the best design to meet the requirements. As companies face increasing pressure to get products to market faster, designgenerative is now a necessity in product development. Engineers, constrained by time constraints, often choose the first viable design over the ideal one. It is imperative that companies adopt tools that empower engineers to find the best design to meet requirements earlier in the development process in order to stay competitive. ⇐ Back to Tools

Simcenter STAR-CCM+ computational fluid dynamics (CFD) software capable of running complex multiphysics simulations of products operating under real operating conditions. DEM particle flux; Electrochemical Simulation; Moving objects; Multiphasic; Reactive; Rheology; Drums; Motor; solids; Simcenter STAR-CCM+ Simcenter STAR-CCM+ is a computational fluid dynamics (CFD) software capable of running complex multiphysics simulations of products operating under real operating conditions . Simcenter STAR-CCM+ also incorporates design exploration and optimization technology as the basis of the simulation toolkit available to the engineer. The unique integrated environment includes the entire workflow from CAD, automated meshing, multiphysics CFD, sophisticated post-processing and design exploration. This allows engineers to efficiently explore the entire design space to make better decisions faster. The additional insight gained from using Simcenter STAR-CCM+ to guide your design process leads to more innovative products that exceed customer expectations. Contact an Expert Computational fluid dynamics simulation (CFD) Particle flow Project Exploration Electrochemical Simulation Moving objects Multiphase Flow Simulation Reactive Flow Modeling and Rheology Thermal simulation Battery simulation Co-simulation Electric machines Engine simulation Mechanics of Solids Simc enter provides industry-leading Computational Fluid Dynamics (CFD) software for fast and accurate CFD simulation of engineering problems involving the flow of liquids, gases (or a combination of both), along with all the associated physics. The discrete element method can be used to simulate the motion of a large number of discrete objects (particles) that interact with each other, such as the granular flow of aggregates, food particles, metal powders, capsule tablets, and wheat or grass. Simcenter is the first commercial engineering simulation tool to include a DEM feature fully coupled with numerical flow simulation. Design exploration software takes simulation to the next level, allowing users to determine appropriate variable values, thereby generating product designs that result in exceptional performance Significantly improving a battery design throughout its operating range is a challenging task and involves the simultaneous optimization of several parameters. Simcenter provides a complete simulation environment for electrochemical system analysis and design and detailed geometry of individual battery cells. Within a single CFD software environment , Simcenter empowers users to simulate not only a wide range of physics, but also a wide range of body and mesh movements to accurately capture their physics. With our motion models for CFD simulations, you can simulate the real-world performance of moving and overlapping objects with an overset mesh , predict the dynamic motion of bodies with 6 degrees of freedom, understand multiphysics interactions to model performance in operation, easily drive geometric changes for design exploration, easily predict machine behavior in rotation/translation, and define sophisticated motions to accurately replicate machine operations. Accurately representing the physical behavior of different fluid and solid phases is critical to capturing the real performance of your product. Simcenter offers a variety of Eulerian and Lagrangian modeling capabilities to meet your multiphase flow simulation needs. Gain insight into the interactions between the turbulent flow field and the underlying chemistry of reaction flows. Simcenter helps you to improve the balance between your device's performance and emissions for different operating conditions. Computational rheology is used to model non-Newtonian or viscoelastic materials in industrial problems. The module for rheology accurately solves the flow of complex rheological material and helps to predict its behavior under real operating conditions. Star CCM+ includes first-class, comprehensive thermal simulation capabilities that can help you understand your product's thermal characteristics and subsequently tailor your thermal management solution for optimal performance. Digitally validate cell design , including cell performance and geometric specifications with battery CFD simulation. Extensive battery cell components are available, as well as a materials database to support the user in model development using CFD analysis. Pair with other simulation tools through dedicated interfaces or an intuitive API. This enables multiphysics simulations with different time scales ranging from microseconds to thousands of seconds, providing faster, more accurate analysis and shorter turnaround times for developing and evaluating complex designs. Complete analytical models cover all aspects of electrical machine design, including thermal, electromagnetic, and drive control. Particularly important in this regard is the efficient use and even disposal of magnets. Our simulation tools are structured to provide seamless design capability across the full range of permanent magnet and reciprocating machines, including hybrid combinations, and cover the full range of power, voltage and speed used in vehicular systems. Engine simulations involve moving components, multiphase flow, combustion and heat transfer. You no longer need to be an expert user to simulate internal combustion engines: using an application-specific workflow and a streamlined interface, you can quickly and easily set up engine simulations. Experienced users can use these simulations as a starting point to perform more complex multiphysics engine simulations, exploiting the full range of Simcenter STAR-CCM+ simulation capabilities. Almost all real-world engineering problems ultimately depend on the interaction between fluids and solid structures. Simcenter STAR-CCM+ offers finite volume (FV) based computational fluid dynamics and finite element (FE) based computational solid mechanics (CSM) in a single, easy-to-use, integrated user interface. Using this approach, you can solve static, quasi-static, and dynamic problems, including those with nonlinear geometry and multiple parts using sliding and glued contacts. ⇐ Back to Tools

CAEXPERTS brings together an experienced and multidisciplinary team of CAE experts, prepared to deliver advanced engineering and computational simulation at different scales and levels of maturity. We use high-performance hardware and software resources that are scalable in the cloud. SIMULATION SPECIALISTS We are a team prepared to deliver results , innovation and competitiveness . Resquest for Quotation Areas of expertise Advanced Engineering Digital Twins Knowledge Transfer Assertive Solutions Cost Reduction R&D and Innovation Digitization of Engineering With the advancement of globalization and technological competitiveness, products and their manufacturing processes are increasingly complex , with more restricted life cycles . In response to this, vanguard companies use computer simulation to virtually test their projects, concepts, inventions, products, equipment and processes, in the most critical scenarios, seeking to always be ahead and go even further. SIEMENS Digital Industries takes this seriously and brings the broadest range of software tools for digitization and computer-aided engineering to the market . Know the Tools Discover the Disciplines Why CAEXPERTS CAE implementation As official resellers of SIEMENS Digital Industries software, we help your company build a high-performance CAE team for your engineering, combined with the ideal simulation tools in conjunction with our technical team, so that your production generates assertive results in an intelligent and fast way. We are simulation experts and know how industries can obtain a high return on their CAE investments. Engineering Services We help industries increase their competitiveness and raise their level of innovation. We work with projects and consultancy for the development of products and equipment, as well as conduct studies aimed at reducing Capital Costs and Operating Costs of industrial enterprises, owner engineering, R&D in industrial processes, integrity analyses and increased operational reliability of production assets. In addition, we are official resellers of Siemens software, which allows us to offer the best technological solutions to our customers. Conheça os nossos serviços Discover our Services Softwares ofertados Software Licensing 3D Multiphysics Simulation Simcenter 3D Star-CCM+ FloEFD Femap CAD Design Solid Edge NX 1D Systems Simulation Flomaster Amesim Electromagnetic Simulation and Design Magnet E-machine Design Speed HEEDS Optimization Learn more Why CAEXPERTS Professional Development: Program designed for engineers and professionals who want to master the use of computer simulation tools in real industry applications. Personalized: We work side by side, from the selection of relevant topics, the study of the state of the art, the scientific technical development stages, training until the completion of the project. Real Projects: The training is developed based on real industry challenges, providing applied and practical learning that prepares you for concrete challenges. Recognition: Master computer simulation in practice and become an expert valued by the industry. Discover our specialization program Areas of expertise ACOUSTICS ELECTROMAGNETIC COMPATIBILITY DESIGN OF ELECTRONICS CIRCUI S COMPUTATIONAL FLUID DYNAMICS THERMOFLUID DYNAMIC SYSTEMS WIRING AND WIRING HARNESS ELETRIC MACHINES STRUCTURAL ANALYSIS PROJECT OPTIMIZATION MATERIALS ENGINEERING ADDITIVE MANUFACTURING AUTOMATION Âncora 1 Know more Recent Posts 1 2 3 4 5 See it all Let's start Get in touch and find out why CAEXPERTS and the best solution for your company's engineering to go even further. Name Last name Email enter a message I agree to receive information and news by email To send Thank you!