pSeven Workshop

In automotive engineering, many studies require running series of simulations where input parameters slightly vary. For example, multibody dynamics simulations may need to be performed for multiple predefined driving scenarios. Manually setting up and executing these simulations is time-consuming and subject to human error.

Another challenge arises when multiple simulations need to be integrated within a multidisciplinary analysis. For instance, multibody dynamics simulation results, such as suspension force reactions, may serve as inputs for structural analysis. Coordination difficulties between departments, differences in data formats and units, and asynchronous timelines often introduce inefficiencies, errors, and delays in the simulation process.

One possible approach to address these challenges is the use of automated simulation workflows. By assembling modular workflows that incorporate essential tasks such as pre- and post-processing, solver execution, and data management, repetitive tasks can be automated, ensuring consistency and reducing human error. Additionally, creating intuitive user interfaces for these workflows can simplify interaction with complex simulations, making them more accessible to users with less technical expertise.

For multidisciplinary analyses, integrating individual workflows into a larger process allows seamless data exchange between different simulation studies without requiring manual intervention. This approach ensures that each study remains independent while still contributing to the overall multidisciplinary analysis, allowing teams to work asynchronously while maintaining coherence in their results.

In this workshop, you will explore the key principles of simulation workflow automation and gain hands-on experience with methods to streamline simulation processes, using a car suspension model as an example.