Open Access iconOpen Access

ARTICLE

crossmark

Research on Optimal Preload Method of Controllable Rolling Bearing Based on Multisensor Fusion

Kuosheng Jiang1, Chengrui Han1, Yasheng Chang2,3,*

1 School of Mechanical and Electrical Engineering, Anhui University of Science and Technology, Huainan, 232001, China
2 School of Optical and Electronic Information, Suzhou City University & Suzhou Key Laboratory of Biophotonics, Suzhou, 215104, China
3 State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710054, China

* Corresponding Author: Yasheng Chang. Email: email

(This article belongs to the Special Issue: Computer-Aided Uncertainty Modeling and Reliability Evaluation for Complex Engineering Structures)

Computer Modeling in Engineering & Sciences 2024, 139(3), 3329-3352. https://doi.org/10.32604/cmes.2024.046729

Abstract

Angular contact ball bearings have been widely used in machine tool spindles, and the bearing preload plays an important role in the performance of the spindle. In order to solve the problems of the traditional optimal preload prediction method limited by actual conditions and uncertainties, a roller bearing preload test method based on the improved D-S evidence theory multi-sensor fusion method was proposed. First, a novel controllable preload system is proposed and evaluated. Subsequently, multiple sensors are employed to collect data on the bearing parameters during preload application. Finally, a multisensor fusion algorithm is used to make predictions, and a neural network is used to optimize the fitting of the preload data. The limitations of conventional preload testing methods are identified, and the integration of complementary information from multiple sensors is used to achieve accurate predictions, offering valuable insights into the optimal preload force. Experimental results demonstrate that the multi-sensor fusion approach outperforms traditional methods in accurately measuring the optimal preload for rolling bearings.

Keywords


Cite This Article

APA Style
Jiang, K., Han, C., Chang, Y. (2024). Research on optimal preload method of controllable rolling bearing based on multisensor fusion. Computer Modeling in Engineering & Sciences, 139(3), 3329-3352. https://doi.org/10.32604/cmes.2024.046729
Vancouver Style
Jiang K, Han C, Chang Y. Research on optimal preload method of controllable rolling bearing based on multisensor fusion. Comput Model Eng Sci. 2024;139(3):3329-3352 https://doi.org/10.32604/cmes.2024.046729
IEEE Style
K. Jiang, C. Han, and Y. Chang, “Research on Optimal Preload Method of Controllable Rolling Bearing Based on Multisensor Fusion,” Comput. Model. Eng. Sci., vol. 139, no. 3, pp. 3329-3352, 2024. https://doi.org/10.32604/cmes.2024.046729



cc Copyright © 2024 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 623

    View

  • 448

    Download

  • 0

    Like

Share Link