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Dynamic characteristics of spindle system with thermal-fault effects

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  • Wei, Yuan
  • Xu, Fanyi

Abstract

During the operation of spindle, under influence of internal heat source, bearing structure which plays a supporting role will produce thermal deformation, and thermal characteristics interact with this deformation to form a complex thermal-solid coupling effect, thus affecting the dynamic characteristics of spindle. Meanwhile, over long periods of operation, due to assembly errors, wear and tear of components, material aging and other factors, the system will inevitably have a variety of failures, these failures will change the operating parameters of the system, which will lead to change in the spindle's dynamic characteristics. Under such complex working situations, the influence of thermal characteristics on the system structure will further affect the failure characteristics caused by faults, and the presence of faults will change the dynamic characteristics, thus forming a closed-loop influence mechanism of thermal-fault interaction. Therefore, study of system failure characteristics under influence of thermal influence is necessary to explore the evolution of system dynamic characteristics under the joint action of thermal and faults, so as to better understand the behavioral characteristics of the spindle under complex working conditions, and to provide basis for identification of main spindle failures and improvement of the equipment reliability.

Suggested Citation

  • Wei, Yuan & Xu, Fanyi, 2025. "Dynamic characteristics of spindle system with thermal-fault effects," Chaos, Solitons & Fractals, Elsevier, vol. 200(P1).
    • Handle: RePEc:eee:chsofr:v:200:y:2025:i:p1:s0960077925009944
    DOI: 10.1016/j.chaos.2025.116981
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    References listed on IDEAS

    as
    1. Wei, Yuan & Xiao, Zhijun & Chen, Xiangyan & Gu, Xiaohui & Schröder, Kai-Uwe, 2025. "A bearing fault data augmentation method based on hybrid-diversity loss diffusion model and parameter transfer," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
    2. Yang, Yuejuan & Yao, Minghui & Niu, Yan & Wu, Qiliang & Wang, Cong & Song, Renduo, 2025. "Study on the dynamic characteristics of nonlinear stochastic double delay rotor-seal system," Chaos, Solitons & Fractals, Elsevier, vol. 192(C).
    3. Rui Zhu & Xin Tong & Qingpeng Han & Keyuan He & Xinrou Wang & Xuechao Wang, 2023. "Calculation and Analysis of Unbalanced Magnetic Pull of Rotor under Motor Air Gap Eccentricity Fault," Sustainability, MDPI, vol. 15(11), pages 1-15, May.
    4. Che, Zhongyuan & Peng, Chong & Yue, Chenxiao, 2024. "Optimizing LSTM with multi-strategy improved WOA for robust prediction of high-speed machine tests data," Chaos, Solitons & Fractals, Elsevier, vol. 178(C).
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