Design of Lightweight Hybrid Materials for the Cab Body-In-White of a Commercial Vehicle based on Multi-Objective Optimization

Abstract. In this paper, the lightweight hybrid materials cab BIW of a commercial vehicle is investigated for material selection. In order to improve the dynamic performance and reduce total mass, the lightweight materials are employed in the BIW. Nine groups of sensitive components are selected to apply the lightweight materials. The design problem is formulated as a multi-objective nonlinear programming problem and the modified non-dominated sorting genetic algorithm (NSGA-II) is used to solve the problem. The surrogate model based on radial basis function (RBF) is adopted in the optimization. The research results show that the usage of steel-aluminum hybrid materials can reduce the total mass and increase the first torsion modal frequency of the cab BIW