Bearing life prediction based on critical interface method under multiaxial random loading

被引:0
作者
Ling, Jingxiu [1 ,2 ]
Li Haoyu [3 ]
Wang, Qianting [3 ]
Cheng, Long [3 ]
机构
[1] Fujian Univ Technol, Sch Mech & Automot Engn, Fuzhou, Peoples R China
[2] CSCEC Strait Construct & Dev Co Ltd, Beijing, Peoples R China
[3] Fujian Univ Technol, Sch Mat Sci & Engn, Fuzhou, Peoples R China
来源
REVISTA INTERNACIONAL DE METODOS NUMERICOS PARA CALCULO Y DISENO EN INGENIERIA | 2023年 / 39卷 / 02期
基金
中国博士后科学基金;
关键词
multiaxial random loading; dynamic simulation; critical plane method; life prediction; FATIGUE; MODEL;
D O I
10.23967/j.rimni.2023.04.005
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The bearing was a key component of the mining machine tire unloader machine and was subjected to random multiaxial stress during operation. Therefore, the life prediction of bearing was of safety guidance. In this paper, a bearing life prediction method based on the critical plane method under multiaxial random loading was proposed. Firstly, a virtual prototype model was built based on the actual working conditions of the tire unloader machine to obtain the time load history of the bearing. Transient dynamic analysis of the bearing was carried out to obtain the triaxial stress-strain time histories at the hazardous locations of the bearing. A new coordinate system was established using the hazard node as the coordinate origin, and the location of the critical plane was searched for based on the critical plane multiaxial fatigue theory, combined with the maximum shear strain amplitude on the critical plane for multi-axial rain flow cycle counting to obtain the damage amount in each direction. At the same time, the life calculated from the maximum damage amount was used as the final life, resulting in a cycle count of the bearing of 268,303 cycles and a duration of 1490.58h. The results of this study could be used as a guide to predict the service life of the bearing in large machinery subjected to multiaxial random stress conditions.
引用
收藏
页数:17
相关论文
共 36 条
[1]   Development of a new simple energy method for life prediction in multiaxial fatigue [J].
Braccesi, C. ;
Morettini, G. ;
Cianetti, F. ;
Palmieri, M. .
INTERNATIONAL JOURNAL OF FATIGUE, 2018, 112 :1-8
[2]  
Brown M. W., 1973, Proceedings of the Institution of Mechanical Engineers, V187, P745
[3]   Prediction of Remaining Useful Life of Wind Turbine Bearings under Non-Stationary Operating Conditions [J].
Cao, Lixiao ;
Qian, Zheng ;
Zareipour, Hamid ;
Wood, David ;
Mollasalehi, Ehsan ;
Tian, Shuangshu ;
Pei, Yan .
ENERGIES, 2018, 11 (12)
[4]   Accounting for microstructure sensitivity and plasticity in life prediction of heavily loaded contacts under rolling contact fatigue [J].
Cheenady, Amith Adoor ;
Arakere, Nagaraj K. ;
Londhe, Nikhil D. .
FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES, 2020, 43 (03) :539-549
[5]   A novel deep learning method based on attention mechanism for bearing remaining useful life prediction [J].
Chen, Yuanhang ;
Peng, Gaoliang ;
Zhu, Zhiyu ;
Li, Sijue .
APPLIED SOFT COMPUTING, 2020, 86
[6]   A novel method for journal bearing degradation evaluation and remaining useful life prediction under different working conditions [J].
Ding, Ning ;
Li, Hulin ;
Yin, Zhongwei ;
Jiang, Fangmin .
MEASUREMENT, 2021, 177
[7]  
Feltner C.E., 1961, J BASIC ENG T, V83, P15, DOI [10.1115/1.3658884, DOI 10.1115/1.3658884]
[8]   A new multiaxial fatigue model for life prediction based on energy dissipation evaluation [J].
Feng, E. S. ;
Wang, X. G. ;
Jiang, C. .
INTERNATIONAL JOURNAL OF FATIGUE, 2019, 122 :1-8
[9]   Multiaxial fatigue life prediction based on a simplified energy-based model [J].
Gan, Lei ;
Wu, Hao ;
Zhong, Zheng .
INTERNATIONAL JOURNAL OF FATIGUE, 2021, 144 (144)
[10]   Data-Driven Method for Predicting Remaining Useful Life of Bearing Based on Bayesian Theory [J].
Gao, Tianhong ;
Li, Yuxiong ;
Huang, Xianzhen ;
Wang, Changli .
SENSORS, 2021, 21 (01) :1-17