Ductile Failure Predictions for the Three-Point Bending Test of a Complex Geometry Made From Aluminum Alloy

IF 2.5 4区 材料科学 Q3 ENGINEERING, MECHANICAL
P. Kubík, F. Šebek, J. Zapletal, J. Petruška, T. Návrat
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引用次数: 3

Abstract

The ductile failure predictions have been an issue in many engineering applications. It begins with a design of machines and tools, continues with an evaluation of manufacturing processes, and last but not least ends with the assessment of various structures. The paper deals with a predictability of used criteria for a random structure of aluminum alloy 2024-T351, which was performed under the conditions of room temperature three-point bending. The bi-failure mode creates a space for the numerical studies of various approaches and gives an insight into the model performance. The plasticity was described by Lode-dependent yield criterion, which was coupled with several pressure and Lode-dependent fracture models to form a continuum damage mechanics approach via the material weakening. It was incorporated through a nonlinear damage accumulation, which was finally implemented using Fortran 77 subroutine into abaqus/explicit. All the models exhibited a good ability of crack onset prediction in terms of the force responses and realistic predictability of the crack propagation. The field of deformations was successfully compared with experimental data obtained by an optical method.
复杂几何形状铝合金三点弯曲试验的延性失效预测
延性失效预测一直是许多工程应用中的一个问题。它从机器和工具的设计开始,继续到制造过程的评估,最后但并非最不重要的是以各种结构的评估结束。本文讨论了2024-T351铝合金在室温三点弯曲条件下随机结构所用准则的可预测性。双失效模式为各种方法的数值研究创造了空间,并深入了解了模型的性能。塑性由依赖于Lode的屈服准则描述,该准则与几种依赖于压力和Lode的断裂模型相结合,通过材料弱化形成了一种连续损伤力学方法。通过非线性损伤累积将其合并,并最终使用Fortran 77子程序将其实现到abaqus/explicit中。所有模型在力响应和裂纹扩展的现实可预测性方面都表现出良好的裂纹萌生预测能力。成功地将变形场与通过光学方法获得的实验数据进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.00
自引率
0.00%
发文量
30
审稿时长
4.5 months
期刊介绍: Multiscale characterization, modeling, and experiments; High-temperature creep, fatigue, and fracture; Elastic-plastic behavior; Environmental effects on material response, constitutive relations, materials processing, and microstructure mechanical property relationships
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