Fuzzy modeling of strength-composition-process parameter relationships of HSLA steels

被引：7

作者：

Datta, S ^{[1
]}

Banerjee, MK ^{[1
]}

机构：

[1] Bengal Engn & Sci Univ, Dept Met & Mat Engn, Howrah 711103, India

来源：

MATERIALS AND MANUFACTURING PROCESSES | 2005年 / 20卷 / 05期

关键词：

composition; fuzzy logic; HSLA steel; if-then rules; inference systems; Mamdani type; membership function; modeling; process parameter; thermomechanical control processing; Sugeno type; synergism;

D O I：

10.1081/AMP-200055136

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The effect of composition and process parameters on the mechanical properties of high-strength low-alloy (HSLA) steels is modeled by the application of fuzzy systems viz, Sugeno and Mamdani types. The fuzzy inference systems are found to be capable of interpreting the metallurgical relations between composition and process variables and yield strength described through some if-then rules. The predictability of the fuzzy inference systems is found to be moderate.

引用

页码：761 / 776

页数：16

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