Machine learning metamodels for thermo-mechanical analysis of friction stir welding
This study explores the development and application of machine learning (ML) metamodels
for the thermo-mechanical analysis of Friction Stir Welding (FSW). The main objective is to …
for the thermo-mechanical analysis of Friction Stir Welding (FSW). The main objective is to …
An embedded machine learning strategy for analyzing interfacial characteristics in impact welding of dissimilar alloys
In this study, a novel embedded machine learning (ML) framework was employed to analyze
interfacial characteristics in dissimilar-alloy impact welding. While keeping the substrates …
interfacial characteristics in dissimilar-alloy impact welding. While keeping the substrates …
Development of FSW Process Parameters for Lap Joints Made of Thin 7075 Aluminum Alloy Sheets
The article describes machine learning using artificial neural networks (ANNs) to develop
the parameters of the friction stir welding (FSW) process for three types of aluminum joints …
the parameters of the friction stir welding (FSW) process for three types of aluminum joints …