Dual-phase steels microstructure and properties consideration based on artificial intelligence techniques

被引：45
|
作者：
Krajewski, S. [1 ]
Nowacki, J. [1 ]
机构：
[1] West Pomeranian Univ Technol Szczecin, Inst Mat Sci & Engn, PL-70310 Szczecin, Poland
来源：
ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING | 2014年 / 14卷 / 02期
关键词：
Dual-phase steels; Advanced High-Strength Steels; Microstructure and properties; modelling;
D O I：
10.1016/j.acme.2013.10.002
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
The results of assessment of high strength dual-phase steel structure and mechanical properties were considered. Method of calculation tensile strength and yield strength of dual phase steels DP using the artificial neural networks in modelling relationship of chemical composition and properties of dual phase steels DP was proposed. The material database describing the properties of the DP steels was created on the base of literature sources. The artificial neural network model was designed in order to estimate the influence of alloying elements, heat treatment conditions, transition temperature and microstructural features on mechanical properties of steels. The ferritic-martensitic microstructure transformation influence on steel tensile strength was considering. (C) 2013 Politechnika Wroclawska. Published by Elsevier Urban & Partner Sp. z o.o. All rights reserved.
引用
收藏
页码：278 / 286
页数：9
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