Research on Reliability Test Technology of Machine Tool Spindle under Non-stationary Conditions

Cai, Yuzhen; Peng, Chong; Zhang, Zhiwei; Zhao, Hui; Chen, Miao

doi:10.1016/j.promfg.2020.10.056

Cited by 2 publications

(1 citation statement)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The development of industrial technology has driven the structure of CNC (Computer Numerical Control) machine tools more and more complex, and the dependence among components is even closer. The reliability and availability of machine tools are affected by many critical components, such as spindle [1], cooling component [2], ball screw mechanism [3], and so on. As a result, maintenance strategy of machine tools not only depends on the degradation state of components but also on their coupling effect, which causes considerable difficulty in formulating proper maintenance strategy.…”

Section: Introductionmentioning

confidence: 99%

Group maintenance strategy of CNC machine tools considering three kinds of maintenance dependence and its optimization

Sun

Chen

et al. 2021

Int J Adv Manuf Technol

View full text Add to dashboard Cite

Unreasonable maintenance strategies will increase maintenance costs and reduce the efficiency of CNC (Computer Numerical Control) machine tools. Therefore, not only the degradation state of components but also their coupling effect should be considered to obtain a scientific and reasonable system-level maintenance strategy because of the dependence among different components of CNC machine tools. This study proposes a group maintenance strategy of CNC machine tools considering economic, structural, and stochastic dependence among critical components and optimizes the group maintenance strategy. The model of group maintenance of CNC machine tools is composed of four sub-models: sub-model of component degression, sub-model of group maintenance decisions, sub-model of imperfect maintenance, sub-model of maintenance cost. Utilizing the model of group maintenance of CNC machine tools, the time, objective, and measures of maintenance can be decided according to the degression state and failures. And then, the cost of each maintenance can be calculated. In the group maintenance model, economic dependence and structural dependence among components are quantified by cost, while stochastic dependence is quantified by failure intensity. On that basis, the Monte Carlo method is used to simulate the machine tool operation process and the long-term maintenance cost of CNC machine tools corresponding to a certain failure intensity threshold is calculated. Finally, Genetic Algorithm is used to optimize the failure intensity thresholds of preventive and group maintenance. A numerical example verifies the effectiveness of the proposed optimization method for group maintenance strategy.

show abstract

Section: Introductionmentioning

confidence: 99%