基于自热统计分析的AZ31B镁合金疲劳性能评估

Fatigue Performance Evaluation of AZ31B Magnesium Alloy Based on Statistical Analysis of Self-Heating.

作者信息

Guo Shaofei, Liu Xuesong, Zhang Hongxia, Yan Zhifeng, Fang Hongyuan

机构信息

State Key Laboratory of Advanced Welding and Joining, Harbin Institute of Technology, 92# Xidazhi Street, Nangang District, Harbin 150001, China.

College of Materials Science and Engineering, Taiyuan University of Technology, 79# Yingze Street, Taiyuan 030024, China.

出版信息

Materials (Basel). 2021 Apr 27;14(9):2251. doi: 10.3390/ma14092251.

DOI:10.3390/ma14092251

PMID:33925524

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8123767/

Abstract

AZ31B magnesium alloy is the experimental material in this study. Considering its anisotropy, fatigue assessment based on self-heating is carried out for both the extrusion direction and the transverse direction. The self-heating behavior in the two orientations is compared. Similar to steels, an obvious inflection point that corresponds to the fatigue limit can be found in the self-heating vs. load curve for AZ31B. A new fatigue limit assessment method is proposed based on a statistical analysis of self-heating data. This method can provide a satisfactory assessment of the fatigue limit for AZ31B in the both orientations.

摘要

AZ31B镁合金是本研究中的实验材料。考虑到其各向异性，对挤压方向和横向方向均基于自热进行疲劳评估。比较了两个方向上的自热行为。与钢类似，在AZ31B的自热与载荷曲线上可以找到一个对应于疲劳极限的明显拐点。基于自热数据的统计分析提出了一种新的疲劳极限评估方法。该方法能够对AZ31B在两个方向上的疲劳极限提供令人满意的评估。