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建立和验证多轴疲劳寿命预测模型。

Establishment and Verification of Multiaxis Fatigue Life Prediction Model.

机构信息

Department of Mechanical and Electronic Engineering, Changsha University, Changsha 410022, China.

Department of Mechanical and Electronic Engineering, Central South University, Changsha 410083, China.

出版信息

Scanning. 2021 Feb 2;2021:8875958. doi: 10.1155/2021/8875958. eCollection 2021.

DOI:10.1155/2021/8875958
PMID:33623538
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7872777/
Abstract

A fatigue life prediction model with multiaxis load is proposed. The model introduces a new effective cyclic parameter, equivalent stress on the critical surface, to modify the Suntech model. The new damage parameters are not related to empirical constants, hence more applicable for practical application in engineering. The multiaxis fatigue test was carried out with high-strength aluminum alloy 7075-T651, and the multiaxis fatigue life prediction of the test piece was conducted with the finite element software. The experiment result shows that the model proposed is effective for predicting the fatigue life under multiaxis load.

摘要

提出了一种多轴载荷疲劳寿命预测模型。该模型引入了新的有效循环参数——临界表面等效应力,对 Suntech 模型进行修正。新的损伤参数与经验常数无关,因此更适用于工程实际应用。对高强度铝合金 7075-T651 进行了多轴疲劳试验,并使用有限元软件对试件的多轴疲劳寿命进行了预测。试验结果表明,该模型在预测多轴载荷下的疲劳寿命方面是有效的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5e6/7872777/aff092462599/SCANNING2021-8875958.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5e6/7872777/335a4136d241/SCANNING2021-8875958.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5e6/7872777/f573aac0fd52/SCANNING2021-8875958.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5e6/7872777/089521d85395/SCANNING2021-8875958.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5e6/7872777/c8659fb9cc53/SCANNING2021-8875958.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5e6/7872777/bc8cd0207baf/SCANNING2021-8875958.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5e6/7872777/f33f4782f576/SCANNING2021-8875958.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5e6/7872777/54d800c3b8a3/SCANNING2021-8875958.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5e6/7872777/aff092462599/SCANNING2021-8875958.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5e6/7872777/335a4136d241/SCANNING2021-8875958.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5e6/7872777/f573aac0fd52/SCANNING2021-8875958.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5e6/7872777/089521d85395/SCANNING2021-8875958.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5e6/7872777/c8659fb9cc53/SCANNING2021-8875958.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5e6/7872777/bc8cd0207baf/SCANNING2021-8875958.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5e6/7872777/f33f4782f576/SCANNING2021-8875958.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5e6/7872777/54d800c3b8a3/SCANNING2021-8875958.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5e6/7872777/aff092462599/SCANNING2021-8875958.008.jpg

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