Nano-Intermetallic Precipitated Al-Based Amorphous Matrix Composite Design by Artificial Neural Network Analysis

S. Ganguly, O. A. Ojo, P. P. Chattopadhyay, D. Roy

Abstract


The present study concerns development of suitable model to understand the influence of microstructure on the mechanical properties of Al65Cu20Ti15 nano intermetallic dispersed amorphous matrix composite using the artificial neural network (ANN).). Model behavior has been evaluated to predict the role of different consolidation parameters such as temperature, pressure, and time on the mechanical properties of the alloy. A set of processing parameters were evolved through the analysis of the models which were used to develop the consolidated bulk alloy under appropriate experimental schedule. The microstructure and mechanical properties of the bulk alloy have been investigated to understand the structure property and high pressure sintering process (HPS) correlation. Artificial Neural Network model exposed that the temperature of 350-450 oC and the pressure of about 2-4 GPa are most suitable sintering parameters for obtaining favorable mechanical properties of the alloy.

Full Text: PDF DOI: 10.5539/jmsr.v1n3p59

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.

Journal of Materials Science Research   ISSN 1927-0585 (Print)   ISSN 1927-0593 (Online)

Copyright © Canadian Center of Science and Education

To make sure that you can receive messages from us, please add the 'ccsenet.org' domain to your e-mail 'safe list'. If you do not receive e-mail in your 'inbox', check your 'bulk mail' or 'junk mail' folders.

------------------------------------------------------------------------------------------------------------------------------

images_120. proquest_logo_120 doaj_logo_new_120