Forecast and Analysis of Transformation Point of TC6 Titanium Alloy

被引：0
|
作者：
Yin, Mingchu [1 ]
Gao, Tao [1 ]
Chen, Enzhi [1 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Mechatron Engn, Chengdu 611731, Sichuan, Peoples R China
来源：
ADVANCED ENGINEERING MATERIALS, PTS 1-3 | 2011年 / 194-196卷
关键词：
Artificial Neural Network; Back Propagation Network; Metallographic Method; TC6 Titanium Alloy; Transformation Point;
D O I：
10.4028/www.scientific.net/AMR.194-196.1247
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Transformation point of titanium alloy is an important material parameter in hot forming and heat treatment for titanium alloy. Used the transformation points of TC6 titanium alloy determined by metallographic method as desired outputs, a model Vir forecasting the transformation point of TC6 titanium alloy was established using MATLAB neural network toolbox under the guidance of back propagation neural network. Used the established model to forecast the transformation point of TC6 titanium alloy and analyze the effects of the contents of nine elements on the transformation point of TC6 titanium alloy, and the results show that the transformation point of TC6 titanium alloy increases with enhancement of N, O, C and Al contents, while decreases with the enhancement of Cr, Si, Mo, Fe and H contents.
引用
收藏
页码：1247 / 1252
页数：6
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