Title: Lightweight design of a body-in-white structure using a hybrid optimisation approach
Authors: Dengfeng Wang; Shenhua Li
Addresses: State Key Laboratory of Automotive Simulation and Control, College of Automotive Engineering, Jilin University, Changchun, Jilin, 130022, China ' State Key Laboratory of Automotive Simulation and Control, College of Automotive Engineering, Jilin University, Changchun, Jilin, 130022, China
Abstract: To achieve lightweight of a body-in-white (BIW) structure, this study proposes a hybrid optimisation approach that integrates the subspace division of a BIW structure, relative sensitivity analysis, correlation analysis, NSGA-II (non-dominated sorting genetic algorithm II) combined with a RSM surrogate model, and design of experiments (DOE) combined with E-TOPSIS (entropy weight-technique for ordering preferences by similarity to ideal solution). The approach improves the optimisation efficiency and solves the problem of nonlinear crashworthiness optimisation. The decoupling of the linear basic performance and nonlinear collision safety performance of a BIW is achieved. According to the type of performance response, design variables are screened, and three subspace structures of the BIW are optimised. Optimisation results indicate that the mass of the BIW structure is reduced by 17.0 kg. The performance quotas of the BIW are within the specified design baseline range. Therefore, the proposed approach can be effectively applied to the lightweight design of a BIW structure.
Keywords: BIW; body-in-white; lightweight design; crashworthiness optimisation; relative sensitivity analysis; correlation analysis; NSGA-II; DOE; design of experiments; TOPSIS; technique for ordering preferences by similarity to ideal solution.
International Journal of Vehicle Design, 2022 Vol.88 No.2/3/4, pp.121 - 147
Received: 20 Mar 2020
Accepted: 07 Apr 2021
Published online: 18 Nov 2022 *