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

摘要

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 A1356-TiB2. 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 A1356-TiB2.