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Lifetime analysis of motorized spindle bearings based on dynamic model

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Abstract

The traditional probabilistic-based lifetime evaluation methods for motorized spindles ignore the effects of load dynamic and structural difference. Therefore, we propose a dynamic model-based lifetime estimation method that combines these effects to improve the estimation results for motorized spindles, especially at the design stage. Given that bearing lifetime dramatically influences the reliability of motorized spindles, this paper also designs a shaft-bearing-toolholder based on a dynamic model to estimate the lifetime of bearing group. The proposed dynamic model closely resembles the actual structure of spindles and indicates the stiffness of bearings and contact surface conditional on the nonlinearity of inputting radial and axial forces. The stiffness model is verified by performing an experiment and a finite element analysis. The load applied to bearings is accurately calculated using the dynamic model. Afterward, the load is introduced to a well-known bearing lifetime model, and the lifetime of each bearing and bearing group is calculated. The bearing lifetime results obtained under preload, clamping force and cutting force conditions are then discussed.

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Availability of data and material

All the data presented and/or analysed in this study are available upon request from the corresponding author.

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Funding

Research in this paper was supported by the National Natural Science Foundation of China (Grant No. 51975249), Key Research and Development Plan of Jilin Province (Grant No. 20190302017GX), Changchun Science and Technology Planning Project (Grant No.19SS011) and Fundamental Research Funds for the Central Universities. Finally, the paper is supported by JLUSTIRT.

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Authors and Affiliations

  1. Key Laboratory of CNC Equipment Reliability, Ministry of Education, Jilin University, Changchun, Jilin, 130025, China

    Jun Ying, Zhaojun Yang, Chuanhai Chen, Guoxiang Yao, Wei Hu & Hailong Tian

  2. School of Mechanical and Aerospace Engineering, Jilin University, Changchun, 130025, China

    Jun Ying, Zhaojun Yang, Chuanhai Chen, Guoxiang Yao, Wei Hu & Hailong Tian

Authors
  1. Jun Ying
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  2. Zhaojun Yang
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  3. Chuanhai Chen
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  4. Guoxiang Yao
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  5. Wei Hu
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Contributions

Jun Ying: background research, methodology, data curation, software, validation, writing (original draft) and editing.

Zhaojun Yang: supervision, project administration and funding acquisition.

Chuanhai Chen: review and editing and supervision.

Guoxiang Yao: assist in experiment, data curation and software.

Wei Hu and Hailong Tian: modification suggestion.

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Correspondence to Chuanhai Chen.

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Ying, J., Yang, Z., Chen, C. et al. Lifetime analysis of motorized spindle bearings based on dynamic model. Int J Adv Manuf Technol 124, 3771–3781 (2023). https://doi.org/10.1007/s00170-021-07837-2

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