Theoretical design of ferritic creep resistant steels using neural network, kinetic, and thermodynamic models

被引：46

作者：

Brun, F ^{[1
]}

Yoshida, T

Robson, JD

Narayan, V

Bhadeshia, HKDH

MacKay, DJC

机构：

[1] Ecole Polytech, Dept Mecan, F-75230 Paris, France

[2] Ishikawajima Harima Heavy Ind Co Ltd, Tokyo 135, Japan

[3] Univ Cambridge, Dept Mat Sci & Met, Cambridge CB2 3QZ, England

[4] Univ Cambridge, Cavendish Lab, Cambridge CB3 0HE, England

来源：

MATERIALS SCIENCE AND TECHNOLOGY | 1999年 / 15卷 / 05期

关键词：

D O I：

10.1179/026708399101506085

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

A neural network model has been developed on the basis of published experimental data. This allows the creep rupture strength of bainitic and martensitic electric power plant steels with compositions based on Fe-2.25Cr-1Mo and Fe-(9-12)Cr to be estimated as a function of chemical composition, heat treatment and time at temperature. This model, together with a variety of thermodynamic and kinetic calculations, has been used to propose two new alloys related to the 10CrMoW steel which in theory have outstanding creep rupture properties. MST/3920

引用

页码：547 / 554

页数：8

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