Analysis of Damage Accumulations in High Strength Low Alloy Steels under Monotonic Deformation

被引：14
作者：
Das, Arpan [1 ]
Das, S. K. [1 ]
Sivaprasad, S. [1 ]
Tarafder, M. [1 ]
Tarafder, S. [1 ]
机构：
[1] CSIR, Natl Met Lab, Jamshedpur 831007, Bihar, India
来源：
6TH INTERNATIONAL CONFERENCE ON CREEP, FATIGUE AND CREEP-FATIGUE INTERACTION | 2013年 / 55卷
关键词：
Void area fraction; high strength low alloy steels; Bayesian neural network; ductile fracture micro-mechanisms; tensile deformation; DUCTILE FRACTURE; HY-100; STEEL; NEURAL-NETWORKS; FAILURE; GROWTH; BEHAVIOR; HSLA-100; STRAIN;
D O I：
10.1016/j.proeng.2013.03.332
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
In continuum damage mechanics approach, damage accumulation takes place through void nucleation, void growth and void coalescence. Damage accumulation is influenced by the chemical compositions of the alloy, initial inclusions content and their distribution, stress triaxility, strain, stress, strain rate, grain size, initial micro-texture and temperature of deformation. In this study, a neural network based model has been created to analyse the complex correlation between the damage accumulations with its influencing variables in a variety of high strength low alloy steels under monotonic deformation. It has been confirmed that the predictions are reasonable in the context of metallurgical principles. (C) 2013 The Authors. Published by Elsevier Ltd.
引用
收藏
页码：786 / 792
页数：7
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