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An analysis of formability of aluminium preforms using neural network

  • Published:2008-08 Issue:1-3 Volume:205 Page:272-282
  • ISSN:0924-0136
  • Container-title:Journal of Materials Processing Technology
  • language:en
  • Short-container-title:Journal of Materials Processing Technology

Author:

Poshal G.,Ganesan P.

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Metals and Alloys,Computer Science Applications,Modeling and Simulation,Ceramics and Composites

Reference19 articles.

1. Compatibility equations for the powder forging process;Griffiths;Powder metallurg.,1977

2. Analysis of cold compaction densification behaviour of metal powders;Sun;Inter. J. Mater. Sci. Eng.,1999

3. H.N. Tewari, Evaluation of Forging Characteristics of Metal Powder Preforms, Ph.D Thesis, Ranchi University, India, 1984.

4. Prediction of the process parameters of metal powder preform forging using artificial neural network;Ohdar;J. Mater. Process. Technol.,2003

5. Some practical aspects of sinter forged process;Cull;J. Metallurg. Metal Form.,1972

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