Artificial Neural Network-Based Modelling for Yield Strength Prediction of Austenitic Stainless-Steel Welds

• Published in: Applied sciences Vol. 14; no. 10; p. 4224
• Main Authors: Park, Sukil, Kim, Cheolhee, Kang, Namhyun
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.05.2024
• Subjects: Accuracy; Algorithms; Artificial intelligence; artificial neural network; austenitic stainless steel; Datasets; Decision making; Decision trees; dilution; Friction stir welding; Machine learning; Manganese steel; Mechanical properties; Metals; microstructure; Neural networks; Performance evaluation; Regression analysis; Stainless steel; Support vector machines; weld metal; Welding; yield strength; Yield stress

This study aimed to develop an artificial neural network (ANN) model for predicting the yield strength of a weld metal composed of austenitic stainless steel and compare its performance with that of conventional multiple regression and machine learning models. The input parameters included the chemi...