Application of spherical macro-indentation for determination of plastic anisotropy and residual stresses using indentation geometry and inverse analysis

材料科学 缩进 残余应力 各向异性 复合材料 可塑性 残余物 有限元法 极限抗拉强度 结构工程 数学 光学 物理 算法 工程类
作者
A. Karbasian,A.H. Mahmoudi
出处
期刊:Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications [SAGE Publishing]
卷期号:237 (11): 2379-2399 被引量:4
标识
DOI:10.1177/14644207231179454
摘要

The simultaneous determination of mechanical properties and residual stresses using the instrumented indentation technique is more challenging when the anisotropic behaviour of a material is considered. If ignored, it may lead to inaccurate estimation of residual stresses and mechanical properties of materials. In this paper, the existence of in-plane anisotropic plasticity and the equi-biaxial residual stresses were considered in materials simultaneously. These anisotropic plastic properties and residual stresses were extracted for two materials, an aluminium alloy and a stainless steel, using an inverse analysis method and macro-spherical indentation test. The considered anisotropic materials have different yield stresses in both the longitudinal and transverse directions of the part. The inverse analysis method was based on a wide range of finite element (FE) simulations, which included a large number of models covering the properties of different steel and aluminium materials. In this method, the parameters extracted from the load-displacement (P-h) curve for indentation, along with the pile-up around the indentation area after unloading, were considered as the input parameters of the inverse analysis method. The outputs were the mechanical properties of the anisotropic material and the equi-biaxial tensile and compressive residual stresses. The proposed inverse method was based on the analysis of the artificial neural network (ANN). The effectiveness of the inverse method was examined and verified using experimental data which were found to be reliable. The method employed the P-h curve parameters and unloading morphology and was successful to determine the anisotropic plastic properties and residual stresses.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
谢士伟关注了科研通微信公众号
刚刚
秋风的应助被是小孙啊采纳,获得10
1秒前
1秒前
1秒前
温阳完成签到,获得积分10
1秒前
uwasa完成签到,获得积分10
1秒前
2秒前
YY的应助被LLLL采纳,获得10
3秒前
4秒前
~~~~发布了新的文献求助30
4秒前
温阳发布了新的文献求助10
5秒前
灵巧立果关注了科研通微信公众号
6秒前
领导范儿的应助被大号安全蛋采纳,获得10
6秒前
6秒前
molihuakai的应助被凯蒂jiang采纳,获得10
6秒前
在水一方的应助被Zenae采纳,获得10
7秒前
1236完成签到,获得积分20
7秒前
Mr.egg发布了新的文献求助10
8秒前
汉堡包的应助被喜悦兔子采纳,获得10
8秒前
体贴的黄蜂完成签到,获得积分10
8秒前
9秒前
yyy关注了科研通微信公众号
9秒前
灵兰完成签到 ,获得积分10
9秒前
健壮傲之完成签到 ,获得积分10
9秒前
蓝悠完成签到,获得积分10
10秒前
早邦完成签到,获得积分10
10秒前
11秒前
puzhongjiMiQ发布了新的文献求助10
11秒前
11秒前
那咋办啊发布了新的文献求助10
11秒前
12秒前
1236发布了新的文献求助10
12秒前
12秒前
肆柒发布了新的文献求助10
12秒前
朱哒哒给朱哒哒的求助进行了留言
13秒前
明理的山柳完成签到 ,获得积分10
13秒前
YKUN发布了新的文献求助10
13秒前
13秒前
南风完成签到,获得积分10
14秒前
aaaa的应助被苏菲采纳,获得30
15秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Modern Artificial Intelligence 1000
Особенности технологий и методов информационно-психологических войн СССР с Великобританией и США в период 1939-1953 гг 1000
Das Matthäusevangelium: Kapitel 1:1–17 1000
IRTSD: Open-Source Data and Toolset for Electromagnetic Transient Analysis of Disturbances and IBR Control Malfunctions in Transmission Systems 1000
Challenging Attachment Theory 600
Analyses de reconnaissances de dettes passées devant les échevins d'Ypres (1249-1291) 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8140347
求助须知:如何正确求助?哪些是违规求助? 9540672
关于积分的说明 21641346
捐赠科研通 7724383
什么是DOI,文献DOI怎么找? 3421086
关于科研通互助平台的介绍 2546303
邀请新用户注册赠送积分活动 2463147