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Weight reduction of aluminum disc wheels under fatigue constraints using a sequential neural network approximation method

  • Published:2001-09 Issue:2 Volume:46 Page:167-179
  • ISSN:0166-3615
  • Container-title:Computers in Industry
  • language:en
  • Short-container-title:Computers in Industry

Author:

Hsu Yeh-Liang,Hsu Ming-Sho

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference8 articles.

1. Fatigue life prediction for wheels by simulation of the roating bending test;Karandikar;SAE Transactions,1990

2. Entwicklungszeit von Leichtmetallradern verkurzen;Kaumle;Materialpruefung/Materials Testing,1998

3. Application of high-strength, hot-rolled steels in auto wheels;Marron;Minerals Metals & Materials Society of JOM,1996

4. SAE Handbook, Society of Automotive Engineers Inc., 1992, pp. 4:31.01–4:31.16.

5. J.A. Bannantine, J.J. Comer, J.L. Handrock, Fundamentals of Metal Fatigue Analysis, Prentice-Hall, Englewood Cliffs, NJ, 1990.

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1. Predictions of the design decisions for vehicle alloy wheel rims using neural network;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2022-08-02

2. Fatigue modeling using neural networks: A comprehensive review;Fatigue & Fracture of Engineering Materials & Structures;2022-01-07

3. Studies on modal analysis of aluminium based carbon fibre reinforced optimized alloy wheel used in automotive sectors;Materials Today: Proceedings;2021-08

4. Hybrid multi-objective robust design optimization of a truck cab considering fatigue life;Thin-Walled Structures;2021-05

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