Artificial neural network prediction of creep rupture life of nickel base single crystal superalloys

被引：0

作者：

Li, JW ^{[1
]}

Peng, ZF ^{[1
]}

机构：

[1] Wuhan Univ, Dept Engn Math, Coll Power & Mech Engn, Wuhan 430072, Peoples R China

来源：

ACTA METALLURGICA SINICA | 2004年 / 40卷 / 03期

关键词：

nickel base single crystal superalloy; neural network; creep rupture life;

D O I：

暂无

中图分类号：

TF [冶金工业];

学科分类号：

0806 ;

摘要：

Based on an advanced neural network method and a huge number of creep rupture life data of nickel base single crystal superalloys, an artificial neural network model is constructed to predict creep rupture life for different types of nickel-base single crystal superalloys. The results indicate that the creep rupture lives can be more accurately predicted with this method for different generations of nickel-base single crystal superalloys. Combined with neural network prediction, the orthogonal analysis method is used to reveal the influence of alloying elements on creep rupture life of the single crystal superalloys with the given composition under 982 degreesC. /250 MPa.

引用

页码：257 / 262

页数：6