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An improved model of motorized spindle for forecasting temperature rise based on thermal network method

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Abstract

The motorized spindle will produce a lot of heat at high speed, thereby making the physical structures deformed and changing the bearing performances. However, the interaction between thermal and mechanical characteristics has not been deeply studied. This paper aimed to consider the coupling of interference fit, centrifugal effect, and thermal effect in these components to build a comprehensive and optimized spindle model. Firstly, the displacements related to contact angles under the thermo-mechanical coupling effect were analyzed, and the oil film factor was added to the bearing static model to be studied together with centrifugal force and gyroscopic moment of the ball. Next, based on thermal network method, a quasi-3D model of cooling water pipe was established by considering its structural characteristics. Meanwhile, for the discussion of the number of balls and their thermal resistances, the heat transfer between the bearing ring and the ball was investigated and improved. Lastly, the influences of thermal characteristics on bearings parameters and spindle temperature rise were investigated under different speed, cooling water, and oil-air variables, which provide a reference for regulating and controlling motorized spindle.

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The data used or analyzed in this paper is not available as it pertains to an ongoing research.

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Funding

This work was funded by National Natural Science Foundation of China (No. 51775277). The authors would like to express sincere gratitude to all those who helped us during this research as well as all anonymous reviewers for their constructive suggestions.

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Authors and Affiliations

  1. College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China

    Chuan Su & Weifang Chen

Authors
  1. Chuan Su
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  2. Weifang Chen
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Contributions

CS wrote the paper, established the theoretical model, processed the numerical and experimental data, and analyzed the result. WC set up the test-rig, provided valuable suggestions on the study, and guided the paper writing.

Corresponding author

Correspondence to Weifang Chen.

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Su, C., Chen, W. An improved model of motorized spindle for forecasting temperature rise based on thermal network method. Int J Adv Manuf Technol 119, 5969–5991 (2022). https://doi.org/10.1007/s00170-021-08592-0

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