Component structural equivalent research based on different failure strength criterions and the theory of critical distance

Component structural equivalent research based on different failure strength criterions and the theory of critical distance
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基于不同失效强度准则和临界距离理论的构件结构等效研究

DOI:
10.1016/j.engfailanal.2016.07.005
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发表时间:
2016-12-01
影响因子:
4
通讯作者:
Liu, Zhen-tao
Liu, Zhen-tao
中科院分区:
工程技术2区
文献类型:
--
作者:
Sun, Song-song;Yu, Xiao-li;Liu, Zhen-tao

文献摘要

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在设计和制造曲轴等关键机械零件时,疲劳极限载荷是最重要和最受关注的因素之一。通常,这种控制参数是通过实验获得的,这种方法昂贵、耗时,而且只有在分析结构简单的情况下才可行。然而,要有效和高效地获得复杂结构的疲劳极限载荷,还有一个很大的障碍需要清除。基于多轴疲劳理论和临界距离理论,利用坐标变换法分析了曲轴在弯矩作用下的应力状态。然后选择合适的疲劳准则和应力分布来确定疲劳极限值。并通过实验验证了预测结果。由于临界线法的模拟结果与试验数据具有较好的一致性,因此在预测疲劳极限时,临界线法的有效性比临界点法更值得推广应用。本文的结论对理解复杂结构的断裂行为有一定的启发作用,也为工程应用中的疲劳极限预测提供了有价值的参考。(C)2016爱思唯尔有限公司。保留所有权利。
Fatigue limit load is one of the most important and concerned factors in designing and manufacturing critical mechanical parts such as the crankshafts. Usually, this governing parameter is obtained by experiment, which is expensive, time-consuming and only feasible in analyzing the case of simple structure. Still, there's a big obstacle to clear to get the fatigue limit load of a sophisticated structure effectively and efficiently. Based on the theory of multi-axial fatigue and critical distance, this paper first analyzes the stress state of the crankshaft under a bending moment by a coordinate transform method. Then, suitable fatigue criterions and stress distribution are chosen to determine the fatigue limit value. Also, the experiment is conducted to verify the prediction result. As the simulation results through the critical line method show a better consistency with the experiment data, the effectiveness of the critical line method make it more recommendable to be put into engineering practice than the critical point method in predicting the fatigue limit. The conclusion in this paper may enlighten the understanding of the fracture behavior of a complex structure and provide a valuable reference for fatigue limit prediction in engineering application. (C) 2016 Elsevier Ltd. All rights reserved.