Prediction of tribological behavior of aluminum–copper based composite using artificial neural network-Reference-Cited by-同舟云学术

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Prediction of tribological behavior of aluminum–copper based composite using artificial neural network

Published:2009-02 Issue:1-2 Volume:470 Page:584-588
ISSN:0925-8388
Container-title:Journal of Alloys and Compounds
language:en
Short-container-title:Journal of Alloys and Compounds

Author:

Hayajneh Mohammed,Hassan Adel Mahamood,Alrashdan Abdalla,Mayyas Ahmad Turki

Publisher

Elsevier BV

Subject

Materials Chemistry,Metals and Alloys,Mechanical Engineering,Mechanics of Materials

Reference23 articles.

1. Corrosion behavior of Al–60 vol.% SiCp composites in NaCl solution

2. The influence of the hot deformation and heat treatment on the properties of P/M Al-Cu composites

3. Foundations of Material Science and Engineering;Smith,2006

4. Preparation and thermomechanical properties of stir cast Al-2Mg-11TiO2 (rutile) composite

5. The use of neural networks for the prediction of wear loss and surface roughness of AA 6351 aluminium alloy

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