Siemens Star CCM+ 2410 Build 19.06.009

1. Accurate and economical multiphase simulation, including mixtures

• Mixed Multiphase is an integrated method for self-simulation of different fluid phases such as jets, films, liquids, and clouds. However, the high-efficiency VOF-Lagrangian method cannot adequately address barrier decomposition because it requires solving or considering each problem separately, resulting in higher costs.
• To solve this problem, the new Simcenter Siemens Star CCM+ 2406 introduces capabilities that provide multi-scale mixed MMP-LSI for large spectral components in multi-scale environments. First, the new function supports the Lagrangian transformation of droplet size in MMP. This allows for better handling of small particles (typically 10 micron diameter, in continuous flow), which LMP is not a good example of. More importantly, MMP-LSI can accurately separate S-gamma and predict the relative abundance of LMP (and other components) in the MMP region. Finally, the characterization of cross-linked LMPs by MMP-LSI allowed us to simulate conditions in which LMPs might localize in regions corresponding to the cross-section of the fiber cytoskeleton.
• At the same time, these new capabilities enable a variety of implementations, continuously optimizing the best models for local use and automatically handling switching between suitable models. This innovation allows for a more efficient combination of ready-to-eat solutions, biological solutions, solutions, and mixtures in a single solution. The result is accurate prediction of exhaust volume and quantity, which is ideal in applications such as engine idling.

2. Improve the fidelity of battery aging risk assessment

• The degradation of active materials in batteries leads to a decline in battery performance over time, making it difficult for battery manufacturers to identify strategies to mitigate this. In the latest version 2406 of Simcenter STAR-CCM+, cell adhesion simulations take into account two important parameters: solid surface area (SEI) and surface roughness.
• The model is designed to be used with Simcenter’s 3D cell modeler Siemens Star CCM+, allowing to identify the areas most affected by aging. All models were validated using data from the MODALIS project funded by the European Commission. This new approach can help to model the complexity of aging processes. It complements long-standing simulations by providing valuable information on the mechanisms of tissue damage, aiding in the design of effective mitigation strategies.

3. Enhanced (wetted) particle flow modeling of particle agglomeration

• The granulation process is an integral part of the pharmaceutical industry and manufacturing and plays an important role in the quality of the final pharmaceutical product. The simulation of such industrial processes using sintering or deposition of solid particles is challenging and requires accurate modeling of the force interactions. In the new version of Simcenter STAR-CCM+2406, the particle agglomeration model replaces the parallel interaction model and facilitates the formation of interactions based on user-defined spatial and temporal conditions.
• The model allows for particle and boundary interactions and includes interaction stiffness independent of mechanical properties. These improvements enable more realistic particle assembly processes in various industrial applications, improving realism and reducing computational costs.

4. Uncompromising contact modeling of complex fluid-structure interaction (FSI) contacts

• The default fine method for mechanical contacts requires the user to enter a fine parameter that describes the stiffness of the contact. This can be challenging, especially in complex contact situations.
• The new release of Simcenter STAR-CCM+2406 has an improved Adaptive Lagrange Multiplication (AML) method based on the Uzawa algorithm, which alleviates this by establishing accurate contacts regardless of penalty parameters. It’s robust even against sudden contact changes and automatically updates penalty settings for faster convergence when you want it. You can now achieve high accuracy and durability in complex contacts without compromise.

5. Accelerate design exploration through intelligent simulation initialization

• Extensive design exploration studies benefit from the most acceleration possibilities of basic single design simulations.
• The new version of Simcenter STAR-CCM+2406 automatically initializes the simulation of the new design to bring it closer to the expected results by leveraging the existing results of the nearest neighbors of the previous simulation in the design space, thus providing a solution. That is, the solution adopts the calculated results assumed to be the closest solution. This approach speeds up the simulation of a single design, thereby reducing the turnaround time for the overall design exploration study. It should be noted that in cases where the design space and the solution space are related in a nonlinear way, the time saved is negligible. For monitoring and understanding purposes, you can easily identify designs with reused designs and reused results for a specific design set. The workflow is simplified and manual operations are eliminated. This feature can be used for sweeps, experimental design, and optimization studies even if you have not saved all designs.
• This simple approach enables you to perform a more efficient and faster design exploration process, significantly improving productivity.

6. Easily evaluate the impact of CAD parameters on the cost function

• Designing products often requires analyzing how changes in geometric parameters affect performance, a task that can be daunting without extensive parametric design exploration studies.
• In the latest version of Simcenter STAR-CCM+ 2406, you can now calculate the adjoint sensitivity of the cost function based on the global parameters used in 3D-CAD, extending the capability to calculate parameter sensitivity introduced in version 2306. With this enhancement, you can effectively evaluate the impact of CAD parameters on global cost functions such as pressure drop without the need for complex setups. This means that you can now quickly understand the impact of design changes on key performance indicators, streamlining the design optimization process. This capability enables you to make informed decisions faster, reducing the time and effort required for design iterations.

7. Enhanced the usability of gradient-based (adjoint) optimization

• The gradient-based adjoint is a powerful optimization method. However, it is not always beneficial to compute and evaluate the adjoint over the entire geometry. Limiting the computation of the sensitivity to a specific region of interest requires tedious assignment to specific boundaries.
• The new version of Simcenter STAR-CCM+2406 introduces per-surface sub-grouping for calculating adjoint sensitivities, allowing you to optimize design components more efficiently by calculating surface sensitivities only when necessary. This setup avoids unnecessary adjoint evaluations outside the region of interest, making the gradient-based optimization workflow more efficient and user-friendly.

8. Immersive results exploration with zero installation of virtual reality on the network

• Previously, utilizing VR for CFD simulation required a local installation of Simcenter STAR-CCM+ VR. This can be a challenge in highly restrictive IT environments, which may have been a reason for not incorporating the technology into new workflows.
• Now, with the new Simcenter STAR-CCM+ 2406 release, you can trigger virtual reality exploration from the Simcenter STAR-CCM+ Web viewer with just one click. Siemens Star CCM allows you to better understand your results anytime, anywhere, without the need for installation. You can easily enter the scene directly from your browser and seamlessly transition to virtual reality to enhance understanding and share insights more effectively.

9. Be more efficient in manipulating and de-instantiating subject features

• Explicitly handling instanced entities in the embedded 3D-CAD modeler of Simcenter STAR-CCM+ can force you to perform repetitive and inefficient geometry preparation steps, with the risk of becoming a memory bottleneck.
• The new Simcenter STAR-CCM+2406 version solves the challenge of efficiently manipulating instanced entities by creating instances of the original entity using pre-existing CAD instance information. This approach ensures that modifications applied to any instance can be propagated to all instances, including repair features, sketch commands, and body operations. This reduces memory consumption proportional to the number of instances in the geometry, making the process more efficient.

10. More efficient boundary layer capture through adaptive mesh refinement

• Adaptive Mesh Refinement (AMR) offers several benefits, including improved accuracy, increased efficiency and scalability, and reduced memory usage. However, along with the isotropic refinement of the prism layer, AMR can result in an unnecessarily large number of cells within the prism layer and internal domains. This imposes an unnecessary penalty on runtime without adding any benefit in terms of improved accuracy or stability.
• To address this, the new Simcenter STAR-CCM+ 2406 release now supports anisotropic refinement of prismatic layers during AMR. This refinement strategy reduces the total number of elements, thereby reducing simulation time. With support for isotropic, tangential, normal, and criterion-based refinement strategies, you benefit from a high degree of flexibility, ensuring that boundary layers are captured more efficiently without compromising accuracy.

11. Handle complex rotorcraft simulations more easily

• Rotorcraft design presents significant challenges due to the complexity of analyzing and predicting the flow field under unsteady trim conditions.
• The new dressing option in Simcenter STAR-CCM+2406 using the blade element method provides a fast, medium-fidelity solution for analyzing these unsteady flow fields during the dressing operation. By adopting this method, you can streamline your workflow and eliminate the need for manual adjustments after each run, shortening the entire simulation process. Siemens Star CCM faster turnaround time compared to traditional rigid body motion (RBM) methods enables you to quickly obtain reliable results. The new version enables you to handle complex rotorcraft simulations more easily.

12. Benefit from scalable and faster rigid body motion simulation

• Applications involving rigid body motion (RBM), such as unsteady vehicle aerodynamics and electric motor cooling, often rely on sliding mesh interfaces, which can be computationally intensive and limit performance on large core counts.
• The new metric-based inter-sector in Simcenter STAR-CCM+ 2406 provides a solution to this challenge by providing faster and more scalable cross-calculation.
• By adopting this innovative approach to joint calculations, you can achieve higher performance and faster turnaround times for complex simulations involving large interfaces.

13. Run vehicle thermal management simulations with GPU acceleration and workflow supercharger

• Conjugate Heat Transfer (CHT) applications, such as Vehicle Thermal Management (VTM), are computationally intensive, especially when using radiation models. In such studies, all solid components of the vehicle (10k+ in a modern setup) must be modeled in detail to ensure that there is no component overheating under a wide range of operating conditions. The surface properties of each solid part, such as emissivity, play a key role in the accuracy of the simulation.
• Simcenter STAR-CCM+ 2406 introduces a GPU-native surface-to-surface (S2S) radiation model, as well as a completely revised workflow for storing and inputting surface properties. The GPU-native S2S model accelerates VTM and other CHT simulations, providing a CPU-equivalent solution by maintaining a unified code base. The new surface property workflow significantly reduces pre-processing time for simulation files containing thousands of entities through better integration with material databases and templates.
• By leveraging the power of GPUs and native automation, you can significantly reduce the end-to-end simulation process to perform detailed thermal analysis more efficiently. These improvements not only speed up the simulation process, but also ensure consistent and reliable results regardless of the hardware used.

14. Take advantage of more solvers and features ported to GPU

• In addition, we ported several solvers and functionality to GPUs to expand the range of applications that benefit from GPUs.
• Simcenter STAR-CCM+ 2406 now supports GPU-native mesh sorting initialization, which speeds up steady-state vehicle aerodynamics performance. Transferring separated fluid isothermal and partial slip models to the GPU enables you to run rare flows more efficiently. Finally, any type of simulation will benefit from GPU-native derived component monitoring.
• With these enhancements, we continue our strategy to enable you to run simulations on the hardware that best suits your business and project needs. We provide seamless transitions between GPUs and CPUs and ensure consistent results with a unified code base.

15. Choose from more hardware options to achieve GPU native acceleration

• Likewise, we are expanding our hardware selection. In the Simcenter STAR-CCM+ 2402 release, we introduced the first AMD GPU capability, alongside NVIDIA GPU capabilities, running on the AMD Instinct™ MI200 series GPUs.
• With the new release of Simcenter STAR-CCM+2406, support has been expanded to include AMD Instinct MI300X and Radeon™ Pro W7x00. This expansion gives you greater flexibility and access to GPU native acceleration, providing cost-effective performance improvements by supporting cutting-edge high-performance GPUs and workstation-style graphics cards.

16. Run a wider range of applications using SPH

• The Smoothed Particle Hydrodynamics (SPH) technique is a powerful alternative for simulating complex transient flows with highly dynamic free surface flows. Although SPH was introduced in Simcenter STAR-CCM+2402 and you can use this method together with traditional grid-based methods, the first version was limited in its scope of application. Therefore, we are continuously expanding the SPH functionality to cover more applications.
• In the new Simcenter STAR-CCM+ 2406 release, SPH liquid injection applications are now supported by supporting inlet boundary conditions for SPH particles. This expands the range of applications covered by SPH to include vehicle water runoff and fuel injection powertrain lubrication. Siemens Star CCM increases the versatility of SPH in Simcenter STAR-CCM+ and expands your options to model highly dynamic processes using the most appropriate approach in a single simulation environment.

17. Leverage extended simulation automation intelligence

• Implementing Java scripts to automate complex CFD workflows, while powerful and flexible, can be challenging to maintain and update.
• In Simcenter STAR-CCM+2406, we have extended the native simulation automation capabilities to support multiple physics setups and even more complex workflows in a single simulation. Two new features support the selection of turbulence models in stages and nested sequences of simulation operations. This means you can easily automate RANS to DES workflows and robustly initialize aerospace supersonic and hypersonic simulations with a fully automated Inviscid-to-RANS workflow, all through a single physics continuum and without Java scripts. Nested simulation operations make it easier to manage, maintain and troubleshoot complex simulation sequences, improving the reliability and efficiency of your workflow. Siemens Star CCM also allows you to create a single simulation template for multiple scenarios, reducing the need for manual intervention and scripting. These new features help you quickly create and run complex automated workflows, improve productivity, and ensure consistency across different simulation projects.
• 18. Simcenter X Now Available – End-to-End CFD Workflow in the Cloud
• We continue to expand our cloud offerings to give you more flexibility and faster exploration with CFD simulation. Simcenter X was released in early June with new remote desktop capabilities that provide interactive pre- and post-processing for Simcenter STAR-CCM+ in the cloud. Existing capabilities for Simcenter Cloud HPC are now also part of Simcenter X, so you can now bring your end-to-end CFD workflow to the cloud when you need it.