Practical Versus RSM-Based MDO in Vehicle Body Design 2012-01-0098
Multidisciplinary Design Optimization (MDO) is of great significance in the lean design of vehicles. The present work is concerned with the objective of cross-functional optimization (i.e. MDO) of automotive body. For simplicity, the main goal adopted here is minimizing the weight of the body meeting NVH and crash safety targets. The stated goal can be achieved following either of two different ways: classic response surface method (RSM) and practical MDO methodology espoused recently. Even though RSM seems to be able to find a design point which satisfies the constraints, the problem is with the time associated with running such CAE algorithms that can provide a single optimal solution for multi-disciplinary areas such as NVH and crash safety. The present work compares the results of both the methods for a real-world vehicle and concludes that the current practical MDO methodology is substantially more efficient when compared to RSM-based optimization and predicts nearly the same solution as the latter.
Anindya Deb, Clifford C. Chou, Utpal Dutta, Srinivas Gunti
Indian Institute Of Science, Wayne State University, Univ. of Detroit Mercy, Indian Institute of Science
SAE 2012 World Congress & Exhibition
SAE International Journal of Passenger Cars - Mechanical Systems-V121-6, SAE International Journal of Passenger Cars - Mechanical Systems-V121-6EJ, Rollover, and Side Impact, Safety Test Methodology, and Structural Crashworthiness 2012-SP-2336