Evaluation method of equivalent initial flaw size and fatigue life prediction of nickel-based single crystal superalloy

IF 1.7 4区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY
Zhixun Wen, Fei Li, Ming Li
{"title":"Evaluation method of equivalent initial flaw size and fatigue life prediction of nickel-based single crystal superalloy","authors":"Zhixun Wen, Fei Li, Ming Li","doi":"10.1108/mmms-08-2023-0256","DOIUrl":null,"url":null,"abstract":"Purpose The purpose of this paper is to apply the concept of equivalent initial flaw size (EIFS) to the anisotropic nickel-based single crystal (SX) material, and to predict the fatigue life on this basis. The crack propagation law of SX material at different temperatures and the weak correlation of EIFS values verification under different loading conditions are also investigated. Design/methodology/approach A three-parameter time to crack initial (TTCI) method with multiple reference crack lengths under different loading conditions is established, which include the TTCI backstepping method and EIFS fitting method. Subsequently, the optimized EIFS distribution is obtained based on the random crack propagation rate and maximum likelihood estimation of median fatigue life. Then, an effective driving force based on anisotropic and mixed crack propagation mode is proposed to describe the crack propagation rate in the small crack stage. Finally, the fatigue life of three different temperature ESE(T) standard specimens is predicted based on the EIFS values under different survival rates. Findings The optimized EIFS distribution based on EIFS fitting - maximum likelihood estimation (MLE) method has the highest accuracy in predicting the total fatigue life, with the range of EIFS values being about [0.0028, 0.0875] (mm), and the mean value of EIFS being 0.0506 mm. The error between the predicted fatigue life based on the crack propagation rate and EIFS distribution for survival rates ranges from 5% to 95% and the experimental life is within two times dispersion band. Originality/value This paper systematically proposes a new anisotropic material EIFS prediction method, establishing a framework for predicting the fatigue life of SX material at different temperatures using fracture mechanics to avoid inaccurate anisotropic constitutive models and fatigue damage accumulation theory.","PeriodicalId":46760,"journal":{"name":"Multidiscipline Modeling in Materials and Structures","volume":"72 1","pages":"0"},"PeriodicalIF":1.7000,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Multidiscipline Modeling in Materials and Structures","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/mmms-08-2023-0256","RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose The purpose of this paper is to apply the concept of equivalent initial flaw size (EIFS) to the anisotropic nickel-based single crystal (SX) material, and to predict the fatigue life on this basis. The crack propagation law of SX material at different temperatures and the weak correlation of EIFS values verification under different loading conditions are also investigated. Design/methodology/approach A three-parameter time to crack initial (TTCI) method with multiple reference crack lengths under different loading conditions is established, which include the TTCI backstepping method and EIFS fitting method. Subsequently, the optimized EIFS distribution is obtained based on the random crack propagation rate and maximum likelihood estimation of median fatigue life. Then, an effective driving force based on anisotropic and mixed crack propagation mode is proposed to describe the crack propagation rate in the small crack stage. Finally, the fatigue life of three different temperature ESE(T) standard specimens is predicted based on the EIFS values under different survival rates. Findings The optimized EIFS distribution based on EIFS fitting - maximum likelihood estimation (MLE) method has the highest accuracy in predicting the total fatigue life, with the range of EIFS values being about [0.0028, 0.0875] (mm), and the mean value of EIFS being 0.0506 mm. The error between the predicted fatigue life based on the crack propagation rate and EIFS distribution for survival rates ranges from 5% to 95% and the experimental life is within two times dispersion band. Originality/value This paper systematically proposes a new anisotropic material EIFS prediction method, establishing a framework for predicting the fatigue life of SX material at different temperatures using fracture mechanics to avoid inaccurate anisotropic constitutive models and fatigue damage accumulation theory.
镍基单晶高温合金等效初始缺陷尺寸评价方法及疲劳寿命预测
目的将等效初始缺陷尺寸(EIFS)的概念应用于各向异性镍基单晶(SX)材料,并在此基础上对其疲劳寿命进行预测。研究了SX材料在不同温度下的裂纹扩展规律以及不同加载条件下EIFS值验证的弱相关性。设计/方法/方法建立了不同加载条件下具有多个参考裂纹长度的三参数初始裂纹时间(TTCI)方法,包括TTCI反演法和EIFS拟合法。然后,基于随机裂纹扩展速率和中位疲劳寿命的最大似然估计,得到优化后的EIFS分布。然后,提出了基于各向异性和混合裂纹扩展模式的有效驱动力来描述小裂纹阶段的裂纹扩展速率。最后,根据不同存活率下的EIFS值,预测了三种不同温度下的ESE(T)标准试样的疲劳寿命。结果基于EIFS拟合-最大似然估计(MLE)方法优化后的EIFS分布对总疲劳寿命的预测精度最高,EIFS取值范围约为[0.0028,0.0875](mm), EIFS均值为0.0506 mm。基于裂纹扩展速率的疲劳寿命预测与疲劳存活率的EIFS分布误差在5% ~ 95%之间,试验寿命在2倍色散带内。本文系统地提出了一种新的各向异性材料EIFS预测方法,建立了利用断裂力学方法预测SX材料不同温度下疲劳寿命的框架,避免了各向异性本构模型和疲劳损伤积累理论的不准确。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
3.70
自引率
5.00%
发文量
60
期刊介绍: Multidiscipline Modeling in Materials and Structures is published by Emerald Group Publishing Limited from 2010
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信