Abstract

The lightweight design of vehicle components is regarded as a complex optimization problem, which usually needs to achieve two or more optimization objectives. It can be firstly solved by a multi-objective optimization algorithm for generating Pareto solutions, before then seeking the optimal design. However, it is difficult to determine the optimal design for lack of engineering knowledge about ideal and nadir values. Therefore, this paper proposes a multi-objective optimization procedure combined with the NSGA-II algorithm with entropy weighted TOPSIS for the lightweight design of the dump truck carriage. The finite element model of the dump truck carriage was firstly developed for modal analysis under unconstrained free state and strength analysis under the full load and lifting conditions. On this basis, the multi-objective lightweight optimization of the dump truck carriage was carried out based on the Kriging surrogate model and the NSGA-II algorithm. Then, the entropy weight TOPSIS method was employed to select the optimal design of the dump truck from Pareto solutions. The results show that the optimized dump truck carriage achieves a remarkable mass reduction of 81 kg, as much as 3.7%, while its first-order natural frequency and strength performance are slightly improved compared with the original model. Accordingly, the proposed procedure provides an effective way for vehicle lightweight design.

Highlights

  • Automobile lightweight design is one effective way to reduce energy consumption and emission and to improve vehicle braking efficiency [1,2,3,4]

  • Ren et al [17] performed the multi-objective optimization of the lightweight design of the vehicle frame based on the Kriging surrogate model, which realized the weight reduction of the frame and the improvement of its dynamic performance

  • This paper proposes a multi-objective optimization method by integrating the Kriging surrogate model, NSGA-II algorithm and entropy weighted TOPSIS to optimize the dump truck carriage plate thickness, for realizing its lightweight design

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Summary

Introduction

Automobile lightweight design is one effective way to reduce energy consumption and emission and to improve vehicle braking efficiency [1,2,3,4]. Ren et al [17] performed the multi-objective optimization of the lightweight design of the vehicle frame based on the Kriging surrogate model, which realized the weight reduction of the frame and the improvement of its dynamic performance.

Results
Conclusion
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