CAE driven light weighting of automotive hood using multiple loadcase optimization
2022-01-0955
03/29/2022
- Event
- Content
- In the automotive industry the requirement for low emissions has led to the demand for lightweight vehicle structures. Light weighting can be achieved through different iterative approaches but is usually time consuming. Current paper highlights deployment of the multi-objective optimization approach for light weighting. This work involves developing a process for multi-objective optimization (MOO) for vehicle durability system, in this case Hood. The main goal is to minimize the weight of a Hood assembly by meeting strength and stiffness targets. The design variable considered in the study is thickness of the panels. Design constraints were set for Stress and Stiffness based on DVP requirement. Optimization workflow is setup in modeFRONTIER with design objective as minimizing weight of hood. Using the Design of Experiments (DOE) data response surfaces are generated using different algorithms for prediction of the structural performance parameters such as displacement, modal frequency, and stress. Virtual optimization was performed using HYBRID algorithm which combines a steady-state genetic algorithm with a Sequential Quadratic Programming (SQP) optimizer. Interaction effects were studied between Input and output variables and critical panels were identified driving the performance. Trade off study was performed on output parameters and final optimized designs was identified with weight saving of 1 kg.
- Citation
- Kangde, S., "CAE driven light weighting of automotive hood using multiple loadcase optimization ," SAE Technical Paper 2022-01-0955, 2022, .