Title: Research on TBF distribution model of circular tool magazine and ATC
Authors: Xiaohong Lu; Song Wang; Yanfei Lu; Nan Li; Chaokai Wen
Addresses: Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education, Dalian University of Technology, Dalian, 116024, China ' Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education, Dalian University of Technology, Dalian, 116024, China ' The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0405, USA ' Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education, Dalian University of Technology, Dalian, 116024, China ' Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education, Dalian University of Technology, Dalian, 116024, China
Abstract: Tool magazine and automatic tool changer (ATC) is one of the most important function units of a machining centre and its reliability directly influences the reliability of the machining centre. Failure analysis is the basic work in reliability study. So far, there are few studies on failure of the tool magazine and ATC. Based on the failure data obtained from the field tracing of a kind of circular tool magazine and ATC, the probability density function, the distribution function and failure function of time between failures (TBF) of the tool magazine and ATC are calculated. It is preliminarily assumed that the TBF of the circular tool magazine and ATC obey Weibull distribution. Parameter estimation and hypothesis testing of the Weibull distribution model are done. Finally, the effectiveness of the model is verified. The work can provide a reference for failure prediction of circular tool magazine and ATC.
Keywords: circular tool magazine; automatic tool changer; ATC; time between failures; TBF; distribution model; linear relation testing; hypothesis testing.
DOI: 10.1504/IJISE.2019.101120
International Journal of Industrial and Systems Engineering, 2019 Vol.32 No.3, pp.382 - 404
Received: 27 Oct 2016
Accepted: 09 Oct 2017
Published online: 24 Jul 2019 *