RESEARCH ARTICLE

Fatigue and impact analysis and multi-objective optimization design of Mg/Al assembled wheel considering riveting residual stress

  • Wenchao XU ,
  • Dengfeng WANG
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  • State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China

Received date: 01 Jan 2022

Accepted date: 21 Apr 2022

Published date: 15 Sep 2022

Copyright

2022 Higher Education Press

Abstract

The multi-material assembled light alloy wheel presents an effective lightweight solution for new energy vehicles, but its riveting connection remains a problem. To address this problem, this paper proposed the explicit riveting-implicit springback-implicit fatigue/explicit impact sequence coupling simulation analysis method, analyzed the fatigue and impact performance of the punching riveting connected magnesium/aluminum alloy (Mg/Al) assembled wheel, and constructed some major evaluation indicators. The accuracy of the proposed simulation method was verified by conducting physical experiments of single and cross lap joints. The punching riveting process parameters of the assembled wheel joints were defined as design variables, and the fatigue and impact performance of the assembled wheel was defined as the optimization objective. The connection-performance integration multi-objective optimization design of the assembled wheel considering riveting residual stress was designed via Taguchi experiment, grey relational analysis, analytic hierarchy process, principal component analysis, and entropy weighting methods. The optimization results of the three weighting methods were compared, and the optimal combination of design variables was determined. The fatigue and impact performance of the Mg/Al assembled wheel were effectively improved after optimization.

Cite this article

Wenchao XU , Dengfeng WANG . Fatigue and impact analysis and multi-objective optimization design of Mg/Al assembled wheel considering riveting residual stress[J]. Frontiers of Mechanical Engineering, 2022 , 17(3) : 45 . DOI: 10.1007/s11465-022-0701-7

Nomenclature

Abbreviations
AHP Analytic hierarchy process
BCSLIB-EXT Boeing’s Extreme Mathematical Library
BFGS Broyden-Fletcher-Goldfarb-Shanno
DOE Design of experiment
DOF Degree of freedom
FE Finite element
GRA Grey relational analysis
GRG Grey relational grade
Mg/Al Magnesium/aluminum alloy
PCA Principal component analysis
S/R Selectively reduced
Variables
B Comparison judgment matrix
Er(x) Energy absorption of the rim under the 90° impact condition
SCR-bend(x), SCR-radial(x) Maximum bending and radial compressive stresses at the rivet, respectively
SCs-bend(x), SCs-radial(x) Maximum bending and radial compressive stresses at the spoke riveting hole, respectively
STR-bend(x), STR-radia(x) Maximum bending and radial tensile stresses at the rivet, respectively
STs-bend(x), STs-radial(x) Maximum bending and radial tensile stresses at the spoke riveting hole, respectively
S13-s(x) Maximum von Mises strain of the spoke under the 13° impact condition
Wc, Wt Weight coefficients of the maximum compressive and tensile stresses, respectively
x1, x2 Groove diameter and height of the upper riveting die, respectively
x3 Riveting displacement factor
x4 Extension of the rivet rod
x Vector of design variables
xL Lower limits of the vector x
xU Upper limits of the vector x

Declaration of Interest

The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant Nos. 51975244 and 51475201). The authors would like to express their appreciations for the fund supports.
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