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Author:

Yu, Huiping (Yu, Huiping.) | Wang, Weiwei (Wang, Weiwei.) | Liu, Yuehua (Liu, Yuehua.) | Li, Xiaoyang (Li, Xiaoyang.)

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EI Scopus PKU CSCD

Abstract:

A parametric model for the tensile-shear spot welded structure of ultra-high strength steel was established with software ANSYS by APDL to analyze the static strength of the structure, and was verified with experiments. Based on the simulated results, the optimized model was built to decrease the whole materials, and some sizes of the structure were also optimized. The response surface methodology was adopted to make the stress constraints explicit, and the sequential quadratic programming algorithm was used to achieve the most suitable solutions of the optimized model. The results show that this method could effectively enhance the solving efficiency and avoid oscillation. The calculation procedure was programmed with C language in order to improve efficiency, and the results indicate that the optimization was feasible and effective.

Keyword:

Steel heat treatment Quadratic programming Spot welding Efficiency High strength steel Advanced high strength Steel C (programming language) Surface properties

Author Community:

  • [ 1 ] [Yu, Huiping]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Wang, Weiwei]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Liu, Yuehua]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [Li, Xiaoyang]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China

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Source :

Transactions of the China Welding Institution

ISSN: 0253-360X

Year: 2014

Issue: 4

Volume: 35

Page: 45-48

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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