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A preventive maintenance scheme for rotary ultrasonic vibration EDM machine tool based on PSO under reliability constraints

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Abstract

In this paper, a preventive maintenance scheme for a rotary ultrasonic vibration-assisted EDM machine is investigated. A preventive maintenance cost optimization model for machine tools was developed under the constraint of reliability. The model is simple and efficient and can be applied to rotary ultrasonic vibration-assisted EDM machine tool. The mathematical model is based on particle swarm optimization, which is solved by MATLAB to compare the differences in optimization results under different iterations, and the optimal preventive maintenance interval for the machine tool is 417 h according to the constraints, corresponding to a minimum maintenance cost, which effectively reduces the downtime loss and maintenance cost caused by the failure of machine tools, and provides a theoretical basis for the preventive maintenance plan of machine tools.

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Data availability

The datasets used or analyzed during the current study are available from the corresponding author on reasonable request.

Code availability

Not applicable.

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Funding

The study is supported by the National Natural Science Foundation of China (51205505).

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Authors and Affiliations

  1. School of Mechanical and Materials Engineering, North China University of Technology, No. 5, Jinyuanzhuang Road, Shijingshan District, Beijing, China

    Minggang Xu, Zhe Wang, Hao Fu, Mingyue Ma & Wang Tian

Authors
  1. Minggang Xu
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  2. Zhe Wang
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  3. Hao Fu
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  4. Mingyue Ma
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  5. Wang Tian
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Contributions

Minggang Xu and Zhe Wang: validation, analysis, investigation, writing of the original draft.

Hao Fu and Mingyue Ma: Data calculation, analysis, investigation, writing review.

Wang Tian: investigation, analysis, writing review.

Corresponding author

Correspondence to Zhe Wang.

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Xu, M., Wang, Z., Fu, H. et al. A preventive maintenance scheme for rotary ultrasonic vibration EDM machine tool based on PSO under reliability constraints. Int J Adv Manuf Technol 124, 4603–4613 (2023). https://doi.org/10.1007/s00170-022-10612-6

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