Prediction of the process parameters of metal powder preform forging using artificial neural network (ANN)-Reference-Cited by-同舟云学术

Prediction of the process parameters of metal powder preform forging using artificial neural network (ANN)

Published:2003-01 Issue:1-3 Volume:132 Page:227-234
ISSN:0924-0136
Container-title:Journal of Materials Processing Technology
language:en
Short-container-title:Journal of Materials Processing Technology

Author:

Ohdar R.K,Pasha S

Publisher

Elsevier BV

Subject

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

Reference18 articles.

1. T.J. Griffiths, R. Davies, M.B. Bassett, Compatibility equations for the powder forging process, Powder Metall. (4) (1977) 214–220.

2. Impact forging of powder preforms: current assessment;Hendrikson;Int. J. Powder Metall.,1992

3. H.N. Tewari, Evaluation of forging characteristics of metal powder preform, Ph.D. Thesis, Ranchi University, India, 1984.

4. R.K. Ohdar, H.N. Tiwari, S. Pasha, Prediction of sintered density of metal powder preform using artificial neural network, in: Proceedings of the International Conference, POWMAT, Hyderabad, India, 1999.

5. K.N. Cull, Some practical aspects of sinter-forged process, J. Metall. Met. Form. (1972) 123–127.

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