Modeling mechanical properties of GTAW welds of commercial titanium alloys with artificial neural network

来源期刊：中国有色金属学报(英文版)2005年第z2期

论文作者：魏艳红 H.K.D.H Bhadeshia T.Sourmail

文章页码：70 - 74

Key words：artificial neural network； mechanical properties； titanium welding； GTAW

Abstract: Artificial neural networks (ANN) were used to model the strength, ductility and hardness of multi-pass welds deposited by gas tungsten arc welding (GTAW) in plates of commercial titanium alloys. The input parameters of the ANN are the alloy composition and heat treatment conditions and its output is one of the mechanical properties of the weld metal of titanium alloys, namely ultimate tensile strength (UTS), yield strength, elongation, reduction of the area (ROA) and hardness. The titanium alloys used in the work include commercially pure titanium, alpha or near-alpha titanium, alpha-beta titanium and beta or near-beta titanium.