Research on Mechanical Engineering with Lightweight Design for a Car Body Frame

Abstract

This paper develops a novel approach for the lightweight design of a car body frame. In this approach, the cross-sectional dimensions of a car body frame are treated as design variables. First, sampling points are created based on Latin Hypercube Sampling (LHS), and then Design of Experiment (DOE) is conducted. After that, an analysis is done to obtain those design variables affect the results most. Finally, Sequential Quadratic Programming (SQP) is utilized to solve the optimization problem while the amount of design variables is reduced according to the former analysis. The advantage of this method is that it reduces the burden of optimization algorithms and offers a practical way for the lightweight design of a car body frame.

Simulation and Lightweight Design for the Structure Frame of a Flying Car

“…Finally, the car skeletal structure achieved a 49.7kg weight loss. Jin and Men et al [8][9][10] created sampling points by based on Latin Hyper cube Sampling (LHS) for experimental design, solved the optimization problem by using sequential quadratic programming (SQP) to achieve lightweight design of the car body.…”