Modeling capability of the artificial neural network (ANN) to predict the effect of the hot deformation parameters on the strength of Al-base metal matrix composites

2003 ◽  
Vol 63 (1) ◽  
pp. 63-67 ◽  
Author(s):  
I Jalham
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Metal Matrix Composites ◽  
Base Metal ◽  
Hot Deformation ◽  
Metal Matrix ◽  
Matrix Composites ◽  
Deformation Parameters ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

PREDICTION OF FRICTIONAL AND WEAR BEHAVIOR OF ALUMINIUM MATRIX COMPOSITES BY ARTIFICIAL NEURAL NETWORK

2014 ◽  
Vol 02 (03n04) ◽  
pp. 1450004 ◽  
Author(s):  
VIKRAM G. KAMBLE ◽  
SAGAR G. KAMBLE ◽  
RAMESH K. D.
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Wear Behavior ◽  
Wear Test ◽  
Metal Alloys ◽  
Grain Size Analysis ◽  
Size Analysis ◽  
Matrix Composites ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

Modern technologies require materials with unusual combination of properties that cannot be met by conventional metal alloys, ceramic, etc. In our work, we prepared the samples of metal alloys such as Al 356- TiB 2. Processing of samples is done by artificial neural network (ANN) which is one of the promising fields of research in predicting experimental results. In our investigation we worked on grain size analysis, micro hardness, regression analysis, friction test, wear test and microstructure analysis of samples to describe the materials properties of Al 356- TiB 2.

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