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Dengfeng Wang,Rongchao Jiang,Yinchong Wu 대한기계학회 2016 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.30 No.11
This paper presents a hybrid method integrating modified NSGA-II and TOPSIS, used for lightweight design of the front sub-frame of a passenger car. Firstly, the FE model of the sub-frame is constructed and is validated by modal test. Then, the strength performance of the sub-frame is analyzed under four typical load conditions consisting of braking, acceleration, steady state cornering and vertical bump. After that, a parameterized model of the sub-frame, in which 12 geometric parameters are defined as design variables, is developed based on the mesh morphing technology. Subsequently, modified NSGA-II is employed for multi-objective optimization of the sub-frame considering weight, maximum von-Mises stress and first order natural frequency as three conflicting objective functions. Accordingly, a set of Pareto-optimal solutions are obtained from the optimization process. Finally, the entropy weight theory and TOPSIS method are adopted to rank all these solutions from the best to the worst for determining the best compromise solution. In addition, the effectiveness of the proposed hybrid lightweight design method is demonstrated by the comparisons among baseline design and optimum solutions.
Tao Sun,Rongchao Jiang,Yue Liu,Dawei Liu,Haixia Sun 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.2
Due to the lightweight and excellent mechanical property, carbon fiber reinforced plastics (CFRP) are widely applied in vehicle components. In this paper, a reliabilitybased multi-level optimization method is proposed for the lightweight design of the crossbeam. The CFRP specimens were first fabricated to acquire the mechanical parameters. Then, based on the equal stiffness theory, CFRP was used to replace the material of steel beam and the section was improved. The optimal ply scheme of CFRP beams was determined by ply optimization. On this basis, considering the uncertainty of the ply thickness and the ply angle, the reliability-based multi-objective optimization of CFRP beams was carried out. Finally, entropy weighted grey relational analysis (GRA) was used to determine the lightweight scheme of the crossbeam. The results show that the crossbeam mass is reduced by 59.85 % under the premise of ensuring structural performance and high reliability after multi-level optimization.