Artificial Neural Network Modeling of Ti-6Al-4V Alloys to Correlate Their Microstructure and Mechanical Properties

被引：0
作者：
Maurya, Anoop Kumar [1 ,2 ]
Narayana, Pasupuleti Lakshmi [1 ]
Yeom, Jong-Taek [1 ]
Hong, Jae-Keun [1 ]
Reddy, Nagireddy Gari Subba [2 ]
机构：
[1] Korea Inst Mat Sci, Lightweight Mat Res Div, Chang Won 51508, South Korea
[2] Gyeongsang Natl Univ, Engn Res Inst, Sch Mat Sci & Engn, Virtual Mat Lab, Jinju 52828, South Korea
来源：
MATERIALS | 2025年 / 18卷 / 05期
关键词：
artificial neural network (ANN); mechanical properties of Ti-6Al-4V alloy; index of relative importance; weight distribution; sigmoid activation function; HEAT-TREATMENT; TITANIUM-ALLOY; ALPHA; PHASE; GLOBULARIZATION; TEMPERATURE; STABILITY; BEHAVIOR;
D O I：
10.3390/ma18051099
中图分类号：
O64 [物理化学（理论化学）、化学物理学];
学科分类号：
070304 ; 081704 ;
摘要：
The heat treatment process of Ti-6Al-4V alloy alters its microstructural features such as prior-beta grain size, Widmanstatten alpha lath thickness, Widmanstatten alpha volume fraction, grain boundary alpha lath thickness, total alpha volume fraction, alpha colony size, and alpha platelet length. These microstructural features affect the material's mechanical properties (UTS, YS, and %EL). The relationship between microstructural features and mechanical properties is very complex and non-linear. To understand these relationships, we developed an artificial neural network (ANN) model using experimental datasets. The microstructural features are used as input parameters to feed the model and the mechanical properties (UTS, YS, and %EL) are the output parameters. The influence of microstructural parameters was investigated by the index of relative importance (IRI). The mean edge length, colony scale factor, alpha lath thickness, and volume fraction affect UTS more. The model-predicted results show that the UTS of Ti-6Al-4V decreases with the increase in prior beta grain size, Widmanstatten alpha lath thickness, grain boundaries alpha thickness, colony scale factor, and UTS increases with mean edge length.
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页数：15
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