吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (6): 1780-1785.doi: 10.13229/j.cnki.jdxbgxb201606004

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Implicit parameterization modeling and multi-performance lightweight optimization for SVU body-in-white

CHEN Xin, HU Cui-song, NING Hou-yu, WU Yuan-qiang, WANG Shuo, YANG Chang-hai   

  1. State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China
  • Received:2015-11-05 Online:2016-11-20 Published:2016-11-20

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Abstract: The structure and load forms and condition constraints of SUV Body-in-white (BIW) are different from that of sedans. In order to quickly realize the automatic lightweight structure of a SUV BIW, an implicit parameterization model of the SUV BIW is built. First, correlation analysis method is applied to analyze the influences of 90 pre given potions, shape, thickness and other designing variables on the body structural rigidity, and the variables with lightweight potential are selected. Then, focusing on 30 selected designing variables, a multi-performance lightweight optimization is carried out to achieve good lightweight effect. Results show that the proposed implicit parameterization model and multi-performance lightweight optimization based on correlation analysis can be applied to SUV BIW structure lightweight design and are of engineering significance.

Key words: vehicle engineering, SUV body-in-white(BIW), implicit parametric, correlation analysis, multiple performance optimization, lightweight

CLC Number: 

  • U463.82
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