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author:

Wu, L. (Wu, L..) [1] | Yang, X. (Yang, X..) [2]

Indexed by:

Scopus PKU CSCD

Abstract:

The paper addressed a practical problem of the non-uniform clearance between the outer ring and the inner ring after the nosing process in the assembly of spherical plain bearings, the extrusion process of GEW12 spherical plain bearings was simulated by using ABAQUS software. BP neutral network was applied to identify the relationship between the die profile and the peak difference between the maximum clearance and minimum clearance.A genetic algorithm was used to optimize the die profile, which yielded more uniform clearance distribution. Thus, the FEM, neutral network, and genetic algorithm were combined to develop a method for the design of the optimal shape of a extrusion die.The experimental results show that the clearance distribution between outer ring and inner ring is improved greatly and the metal flow of the bearing becomes more uniform. ©, 2015, China Mechanical Engineering Magazine Office. All right reserved.

Keyword:

BP neural network; Genetic algorithm(GA); Numerical simulation; Spherical plain beating

Community:

  • [ 1 ] [Wu, L.]Fuzhou University, Fuzhou, 350116, China
  • [ 2 ] [Yang, X.]Fuzhou University, Fuzhou, 350116, China

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Source :

China Mechanical Engineering

ISSN: 1004-132X

CN: 42-1294/TH

Year: 2015

Issue: 10

Volume: 26

Page: 1351-1355

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 8

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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