Abstract
The first goal of this study is to investigate the effect of T6 heat treatment and reinforcement properties on the mechanical properties of AlCuMg alloy matrix composites fabricated by the stir casting technique. The second goal of the study is to develop a prediction model which can predict experimental results with minimum error. For modeling and prediction of hardness, tensile strength, yield strength, and modulus of elasticity, a forward and backward feed propagation multilayer artificial neural network was developed to evaluate and compare the experimental calculated data to predict values. It was found that heat treatment and reinforcement properties have significant effects on the mechanical properties of AlCuMg alloy matrix composites. The prediction model, which has a mean absolute percentage error of approximately 2 % for the predicted values, can effectively predict the effect of the T6 heat treatment and reinforcement properties on the mechanical properties of AlCuMg alloy matrix composites.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: The International Journal of Advanced Manufacturing Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
