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Multi-objective optimisation on crashworthiness of front longitudinal beam (FLB) coupled with sheet metal stamping process.

Authors :
Wang, Hangyan
Xie, Hui
Cheng, Wei
Liu, Qiming
Shen, Yunfei
Source :
Thin-Walled Structures. Nov2018, Vol. 132, p36-47. 12p.
Publication Year :
2018

Abstract

Abstract Nowadays, improving the accuracy of vehicle collision simulation is of great significance to the design and manufacture safety automobiles. Many parts in automobile manufacture are obtained by stamping process. The thickness, plastic deformation and residual stress will change after stamping process which will affect the simulation precision of vehicle collision. However, traditional collision simulation does not consider the influence of these factors. In this paper, a collision simulation method of the front longitudinal beam was studied which maps the stamping results to a collision structure model. The effects of stamping on the crashworthiness of front longitudinal beam (FLB) were analyzed to improve the accuracy and effectiveness of the automobile crash finite element simulation. To further study the effects of the manufacturing parameters (e.g. the thickness of the sheet metal, friction coefficient and two draw-bead coefficients on the energy absorption and peak crushing force), a multi-objective optimisation was carried out with non-dominated sorting genetic algorithm (NSGA-Ⅱ) through combining the stamping and collision process. The optimal results of the FLB show that the proposed method significantly improved the formability and crashworthiness. Highlights • The strain rate is considered in the material model of the front longitudinal beam. • The effects of strain rate and stamping history on the collision simulation have been studied. • The sensitivity of stamping process parameters to manufacturing and collision performance is analyzed. • The manufacturing objectives and collision characteristics are enhanced by optimizing the stamping process parameters. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02638231
Volume :
132
Database :
Academic Search Index
Journal :
Thin-Walled Structures
Publication Type :
Academic Journal
Accession number :
132489575
Full Text :
https://doi.org/10.1016/j.tws.2018.07.050