Siemens Star CCM+ 2510 (20.06.007) with Tutorials & Verification Suite

Model the complexity

Capture all aspects of HVAC systems and human comfort over time
Modern electric vehicles face the challenge of maximizing energy efficiency across all driving scenarios, especially during extreme temperatures, where heating or cooling the cabin and battery can significantly reduce range. Traditionally, simulating passenger comfort during transient cabin cycles has required cumbersome co-simulation with third-party tools, which limits automation and fidelity.

With the new release of Simcenter STAR-CCM+ 2510, you can now use advanced thermal comfort models, including Fiala and Berkeley models, directly in transient analyses. This means you can simulate any unsteady cabin cycle, capturing the full dynamics of HVAC systems and human comfort over time, all within a single, seamless workflow. The solution integrates natively into existing Vehicle Thermal Management (VTM) processes, eliminating the need for external coupling and enabling full automation.

As a result, you gain the ability to assess trade-offs between HVAC energy use and passenger comfort duration, leading to more informed design decisions. The primary benefit is a significant improvement in user experience, enhanced automation capabilities, and increased simulation fidelity, enabling you to deliver vehicles that are both comfortable and energy-efficient.

Explore the possibilities

Run up to 3x faster and stable Topology Optimization with reduced user intervention
Achieving optimal performance in adjoint topology optimization is often hampered by the difficulty of selecting the right penalty strategy, which can lead to overshooting constraints, optimizer instability, and increased simulation time. Manual fine-tuning of penalty factors is tedious and detracts from the usability of the optimization tool.

With Simcenter STAR-CCM+ 2510, you benefit from a Dynamic Penalty update that automatically adjusts penalties during the optimization process, leveraging the augmented Lagrangian method for each constraint. This enhancement ensures smooth convergence without overshoots, even in constraint-heavy problems, and eliminates the need for manual adjustments.

You can now focus on critical design aspects rather than penalty tuning, achieving up to three times faster and more stable optimization runs. You benefit from a streamlined workflow that accelerates innovation and improves the overall user experience.

Enable quick and lean analysis of Transient 3D data
Large transient simulations generate massive data sets, making it impractical to interactively analyze results or capture unexpected phenomena unless analysis bodies are pre-placed.

Previously, storing and analyzing full-resolution 3D results required significant storage and memory, limiting flexibility.

With the latest Simcenter STAR-CCM+ 2510 release, you can now store resampled volumes in Solution History files, drastically reducing data and memory footprint while retaining all relevant qualitative information at every time step. This allows you to interactively analyze 3D transient data, leverage results in screenplays for insightful animations, and investigate any plane in the full domain after the simulation is complete. The solution combines the benefits of Solution Histories and resampled volumes, allowing for qualitative analysis without the need for the original mesh. Perform quick, lean, and comprehensive analysis of large-scale transient simulations, supporting deeper insights and faster decision-making.

Go faster

Leverage faster surface mesh preparation
Preparing a closed, manifold surface from complex or “dirty” CAD geometry is essential, often time-consuming, especially for large models. Even with previous parallelization efforts, runtime remained a bottleneck for many users.

With Simcenter STAR-CCM+ 2510, you can now take advantage of Phase 2 of the MPI Surface Wrapper, which brings further speedup compared to earlier versions. The process is parallelized across multiple processors, reducing wrapping time by up to ~50% compared with previous releases. The performance gain enables you to increase simulation throughput or create a more refined wrapped surface for improved mesh quality. The solution delivers consistent results regardless of processor count and can prepare complex surfaces in minutes. You can move from CAD to simulation much more quickly thanks to streamlined surface mesh preparation.

Speedup rotorcraft simulation with GPU power
Simulating complex rotating machinery, such as rotorcraft, is computationally intensive and often constrained by project timelines. Traditional CPU-based approaches, while accurate, can occupy a lot of resources and extend turnaround time.

With the 2510 release of Simcenter STAR-CCM+, you can now leverage GPU acceleration for Virtual Disk simulations, achieving drastically shorter runtimes while maintaining equivalent accuracy. This enables you to execute multiple simulation variants or entire design exploration studies much faster, reducing energy consumption per simulation. The solution empowers you to evaluate hundreds of geometry variants or apply finer resolutions within standard project timelines, transforming design-space exploration and providing robust insights early in the design process. By speeding up rotorcraft and rotating machinery simulations, this approach helps unlock resources and boost innovation.

Enable faster and easier setup of DEM multiphase interactions
Setting up complex particle flow simulations with multiple DEM phases and boundary types traditionally required repetitive and error-prone configuration of interaction pairs. This process became increasingly cumbersome as the number of phases grew.

With Simcenter STAR-CCM+ 2510, you can now use user-defined templates for contact models, applying them to multiple interaction pairs simultaneously. This enhancement increases productivity and improves the user experience by allowing multiple default interaction settings, each associated with distinct sets of interaction pairs. The solution streamlines the setup process, reduces errors, and provides greater flexibility for customizing interactions. Faster and easier setup of DEM multiphase interactions allows you to focus on simulation objectives rather than configuration details.

Boost simulation accuracy and efficiency with SPH particle refinement
Ensuring high accuracy in Smoothed Particle Hydrodynamics (SPH) simulations previously required refining the entire domain, leading to high runtimes. This was especially challenging for applications such as gearbox lubrication or tire water splashing, where only specific regions required high resolution.

With Simcenter STAR-CCM+ 2510, you can now enable local particle refinement for fluid particles in targeted areas of your domain. You define adaptive refinement shapes, such as blocks, cylinders, or spheres, and particles are refined only when inside these shapes, then coarsened outside. This approach delivers higher accuracy where needed, with a negligible runtime penalty compared to globally fine simulations. This enables faster turnaround times without compromising accuracy, making high-fidelity SPH simulations more practical and efficient.

Stay integrated

Unlock more design possibilities with expanded e-machine type support
Radial flux machines (RFMs) account for more than 95% of the e-machine market, and previously, simulation workflows for these machines were complex and fragmented. The lack of a uniform file format across Simcenter EMAG and e-machines solutions made it difficult to ensure seamless workflow and numerical continuity between teams.

With Simcenter STAR-CCM+ 2510, you can now import radial flux machine designs through the SimCenter Data eXchange (SCDX) file format, which is compatible across all e-machine and EMAG Simcenter tools. This solution allows you to carry both CAD and physics data in a single file, ensuring a seamless workflow and consistent results across teams. This advancement brings more design options and a smoother simulation experience, with particular relevance to the automotive sector thanks to expanded e-machine support.

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