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author:

Lin, Xiezhao (Lin, Xiezhao.) [1] (Scholars:林谢昭) | Wang, Fuzhen (Wang, Fuzhen.) [2]

Indexed by:

EI Scopus PKU CSCD

Abstract:

For improving the serving life of the threaded connection, an elastic-plastic contact finite element method was used for analyzing the stress distribution of the connecting threads. After that, the parametric modeling technique was used for establishing the multi-objective optimization model where the load distribution uniform and the stress peak values were considered. This model was then solved by the radial basis function (RBF) neural network method and the elitist non-dominated sorting GA (NSGA-II).The numerical results indicate that compare with the original design, the non-uniform rates of load distribution between the teeth in the optimized design are reduced by 13.6%, and the maximum of equivalent stresses is dropped by 6.9%, and the peak values of the first principal stress are cut down by 11.5%. © 2017, China Mechanical Engineering Magazine Office. All right reserved.

Keyword:

Elastoplasticity Electric power plant loads Finite element method Genetic algorithms Multiobjective optimization Numerical methods Radial basis function networks

Community:

  • [ 1 ] [Lin, Xiezhao]College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Wang, Fuzhen]College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China

Reprint 's Address:

  • 王福振

    [wang, fuzhen]college of mechanical engineering and automation, fuzhou university, fuzhou; 350108, china

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Source :

China Mechanical Engineering

ISSN: 1004-132X

CN: 42-1294/TH

Year: 2017

Issue: 17

Volume: 28

Page: 2024-2028

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: 5

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