Prediction and Multi-Objective Optimization of Resistance Coil-Assisted Friction Stir Welding of AISI 316L Using Ensemble Machine Learning

Development of mathematical models for predicting mechanical properties of dissimilar DP600 steel and AZ31B magnesium alloy friction stir welds

This study presents the development of mathematical models for predicting the mechanical properties of dissimilar DP600 steel-AZ31B magnesium alloy friction stir welded joints. A General Full Factorial Design was employed by considering rotational speed, welding speed, and tool offset as process parameters. Ultimate te...

Research on the prediction of mechanical properties of 316L stainless steel laser welded joints based on MLP

To improve the efficiency and reliability of process design and parameter optimization in 316L stainless steel laser welding, this study develops a mechanical property prediction model based on a multi-layer perceptron (MLP) neural network. In traditional manufacturing practice, welding parameters are mainly determined...

Hybrid ANN–XGBoost model for accurate prediction of tig weld characteristics and process performance in stainless steel

Improving the prediction accuracy of tool damage in friction stir welding by applying experimentally determined S–N curves

Friction stir welding (FSW) subjects the welding tool to severe thermo-mechanical loading, resulting in complex fatigue conditions that limit tool life. Current tool design approaches remain largely empirical, leading to considerable uncertainty in lifetime prediction under realistic process conditions. This study pres...

Machine learning-assisted prediction and Bayesian optimisation of wire EDM process parameters for surface roughness of AISI S7 tool steel

The study demonstrates that integrating machine learning and Bayesian optimization provides an effective approach for predicting and optimizing surface roughness in WEDM of AISI S7 tool steel.

Process structure property correlation and multi response optimization of friction stir welded copper joints

Friction stir welding (FSW) of copper is challenging due to its high thermal conductivity, which complicates heat management and joint integrity. This study investigates the process–structure–property relationship in FSW of 5 mm thick commercially pure copper plates using a conventional vertical milling machine as a co...