Deep Learning Based Micro-Mechanical Model for Study of Thermo-Mechanical Behavior of Al-SiC MMC During FSW Process

Abstract

Designing superior attributes using a combination of metals involves uncertainties and has lured the present  interest since the early age of the evolution. In the current era, as numerous AI-based models are being developed and implemented in different engineering fronts, similar attempts are under process in metallurgy as a plethora of data has been annulled and is available for modern researchers to access and innovate techniques to be used to evaluate such materials. This paper aims to provide one such deep learning based micro-mechanical computational model to estimate thermo-mechanical behavior of Al-SiC Particulate Reinforced Metal Matrix Composites during Friction Stir Welding.