Computer-Aided Engineering Modeling and Automation on High-Performance Computing Ford Motor Company

Format:

Book

Conference/Event

Author/Creator:

Singh, Sushil, author.

Conference Name:

Automotive Technical Papers (2022-01-01 : Warrendale, Pennsylvania, United States)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2022

Summary:

The computer-aided engineering (CAE) automation study requires a large disk space and a premium processor. If all finite element (FE) models run locally, it may crash the local machine, and if the FE model runs on high-performance computing (HPC), transferring data from the server to the local machine to do the optimization may cause latency issues. This automation study provides a unique road map to optimize the design by working efficiently using the initial setup on the local machine, running an analysis of a large number of FE models on HPC, and performing optimization on the server. CAE Automation process has been demonstrated using a case study on a driveline component, crush spacer. Crush spacer is a very critical engineering design because, first, it provides the minimum required preload to the bearing inner races to keep them in position and, second, it endures a number of duty cycles.HyperStudy was used as a CAE automation tool and it was integrated with Simlab, Abaqus, and FEMFAT to do optimization of spacer design. Optimization technique GRSM [1] was explored to evaluate the best solution to improve the fatigue life and satisfy the minimum required preload criteria

Notes:

Vendor supplied data

Publisher Number:

2022-01-5051

Access Restriction:

Restricted for use by site license