The development of two multiaxial ductility factor predicting models based on creep cavity growth theory

IF 0.6 4区 工程技术 Q4 MECHANICS
Dongquan Wu, Yupeng Li, Zixiang Liu, Dinghe Li
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引用次数: 1

Abstract

In this study, the multiaxial ductility factor was analyzed based on the power-law creep grain-boundary cavities growth theory under multiaxial stress states. Based on this theory, the theoretical cavities growth rates under a multiaxial stress state were discussed and the predicting model of a stress-state parameter α was revised by using an empirical fitting expression denoted as α Wu , which exhibited a good agreement to analytical results of the stress-state parameter α and multiaxial cavities growth rates. Then, according to the relationship between uniaxial and multiaxial creep failure strain, a new empirical predicting model of multiaxial ductility factor MDF Wu was established which involved the multiaxial parameter α Wu and uniaxial parameter α 0 . Besides, the theoretical model of multiaxial ductility factor MDF could also be established. By fitting the theoretical values of MDF , another predicting model MDF WM was proposed. The development of two multiaxial ductility factor predicting models could be achieved. Finally, predictions of these two novel multiaxial ductility factor models and the Cocks-Ashby as well as Wen-Tu model were compared with experimental data, and the prediction accuracy of MDF Wu and MDF WM models was significantly improved, especially for the latter one.
基于蠕变空洞生长理论的两种多轴延性系数预测模型的建立
基于幂律蠕变晶界空洞生长理论,对多轴应力状态下的多轴延性因子进行了分析。在此基础上,讨论了多轴应力状态下的理论空腔生长速率,并用经验拟合表达式α Wu修正了应力状态参数α的预测模型,该模型与应力状态参数α和多轴空腔生长速率的分析结果吻合较好。然后,根据单轴和多轴蠕变破坏应变之间的关系,建立了多轴参数α Wu和单轴参数α 0参与的多轴延性系数MDF Wu的经验预测模型。此外,还可以建立多轴延性因子MDF的理论模型。通过拟合MDF的理论值,提出了另一种预测模型MDF WM。实现了两种多轴延性系数预测模型的开发。最后,将这两种新型多轴延性因子模型与Cocks-Ashby和Wen-Tu模型的预测结果与实验数据进行比较,发现MDF Wu和MDF WM模型的预测精度显著提高,尤其是后者。
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来源期刊
CiteScore
1.40
自引率
14.30%
发文量
22
审稿时长
6 months
期刊介绍: The scope of JTAM contains: - solid mechanics - fluid mechanics - fluid structures interactions - stability and vibrations systems - robotic and control systems - mechanics of materials - dynamics of machines, vehicles and flying structures - inteligent systems - nanomechanics - biomechanics - computational mechanics
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