The spindle of remaining lifetime predicted in the failure machine tool

被引:6
作者
Liu, Ling [1 ,2 ]
Ye, Teng [2 ]
机构
[1] Northwestern Polytech Univ, Xian, Shaanxi, Peoples R China
[2] Xian Univ, Xian, Shaanxi, Peoples R China
关键词
Weibull distribution; lifetime prediction; fatigue analysis; remanufacturing; spindle;
D O I
10.1080/00150193.2018.1392148
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper mainly carries out researches on the small part samples of the spindles. Through the Weibull distribution and least squares,the mathematical analysis has made on the lifetime of the spindle parts of the retired machine tool. Through using MATLAB simulation, the theoretical life of the spindle parts is obtained. Then, the motion analysis was made on the old and retired machine tool spindle. At the same time,the finite element model of the spindle is set up with the support of the software ABAQUS. Besides, the static analysis and meshing are conducted to obtain the corresponding stress strain simulation results. Also,the analysis data are imported into the fatigue analysis software NCODE to make the life prediction.Through loading on the old machine tool, the corresponding cloud lifetime chart and damage cloud chart are obtained. The readings of the cloud chart are calculated to obtain the life expectancy which the spindle lifetime can reach and the spindle can be re-manufactured, conforming to the theory analysis results of the Weibull distribution as well as the method of least square.It proves that the method is feasible.
引用
收藏
页码:167 / 176
页数:10
相关论文
共 50 条
[41]   STUDIES REGARDING THE BEHAVIOR OF THE INTERFACE OF THE MILLING MACHINE SPINDLE/TOOL-HOLDER IN HIGH SPEED MACHINING PROCESS [J].
Bardac, Doru ;
Dogariu, Constantin .
METALURGIA INTERNATIONAL, 2010, 15 :5-10
[42]   An improved thermal performance modeling for high-speed spindle of machine tool based on thermal contact resistance analysis [J].
Bing Fang ;
Mengna Cheng ;
Tianqi Gu ;
Dapeng Ye .
The International Journal of Advanced Manufacturing Technology, 2022, 120 :5259-5268
[43]   Improved exponential model for thermal error modeling of machine-tool spindle based on fruit fly optimization algorithm [J].
Liao, Qihao ;
Yin, Qin ;
Xie, Luofeng ;
Yin, Guofu .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2022, 236 (12) :6912-6922
[44]   An improved thermal performance modeling for high-speed spindle of machine tool based on thermal contact resistance analysis [J].
Fang, Bing ;
Cheng, Mengna ;
Gu, Tianqi ;
Ye, Dapeng .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2022, 120 (7-8) :5259-5268
[45]   Spindle-mounted self-decoupled force/torque sensor for cutting force detection in a precision machine tool [J].
Ren, Limin ;
Zhang, Wenqiang ;
Wang, Kuankuan ;
Zhang, Pan ;
Wang, Shuqing ;
Tan, Yisong .
MEASUREMENT, 2022, 204
[46]   Robust Control Design for a Spindle of Lathe Machine [J].
Khairudin, M. .
2015 2ND INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY, COMPUTER, AND ELECTRICAL ENGINEERING (ICITACEE), 2015, :227-232
[47]   Prediction of the remaining lifetime of polyethylene pipes after up to 30 years in use [J].
Frank, A. ;
Pinter, G. ;
Lang, R. W. .
POLYMER TESTING, 2009, 28 (07) :737-745
[48]   A lifetime model with increasing failure rate [J].
Bakouch, Hassan S. ;
Jazi, Mansour Aghababaei ;
Nadarajah, Saralees ;
Dolati, Ali ;
Roozegar, Rasool .
APPLIED MATHEMATICAL MODELLING, 2014, 38 (23) :5392-5406
[49]   Controllable preload spindle with a piezoelectric actuator for machine tools [J].
Ciou, Yong-Shang ;
Lee, Chun-Ying .
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2019, 139 :60-63
[50]   A thermal deformation prediction method for grinding machine’ spindle [J].
Jinwei Fan ;
Peitong Wang ;
Haohao Tao ;
Ri Pan .
The International Journal of Advanced Manufacturing Technology, 2022, 118 :1125-1139