CAE Modeling and Automation on High Performance Computing
SAE-PP-00243
03/04/2022
- Content
- CAE modeling is rapidly improving and becoming more efficient to reduce the cost of physical testing and cut time to make parts in record time. CAE engineers are under pressure to reduce turnaround time and find solution with more precision. There can be two different paths to achieve this task by either increasing headcount or do CAE automation. Increasing the head count is not desirable as it will erase the benefit of using CAE technique. Whereas, doing automation help engineer to focus more on problem solving to find the best solution rather than repeatedly building the CAE models where they can make mistakes. CAE Automation process has been proposed and demonstrated design optimization on a driveline component that is collapsible spacer. Collapsible spacer is very complex engineering design because it should provide sufficient preload to two bearing inner race and at the same time be structurally strong to withstand the fatigue loading. In this paper automation procedure has been explained to optimize the spacer design more efficiently and accurately using High performance Computing (HPC). Hyperstudy has been used as CAE automation software where it was integrated with meshing software Simlab, analysis software Abaqus and fatigue software FEMFAT. Analysis was performed on HPC to improve efficiency. Optimization technique GRSM was used to find the best solution that improved the fatigue life significantly higher than original design and preload was sufficient to meet the minimum preload criteria.
- Citation
- Singh, S., "CAE Modeling and Automation on High Performance Computing," SAE MobilityRxiv™ Preprint, submitted March 4, 2022, https://doi.org/10.47953/SAE-PP-00243.