Abstract
Due to the complex structure of the spindle and many influencing factors, the failure analysis of the spindle has always been a focus. Use Soildwoks to model the Dalian machine tool VDL600 machine tool spindle, analyze the modalities of the spindle and main components through the ANSYS Workbench platform, and analyze the possible resonance frequencies. Taking the data measured by Lion's gyration accuracy tester as a reference, the MEMS acceleration sensor is used to obtain the vibration signal of the spindle, and the modulation signal bispectrum (MSB) analysis method is used to obtain the characteristic frequency of the vibration signal. By comparing and analyzing the characteristic frequency of the vibration signal and the modal analysis result, it can be proved that the MSB method can extract the resonance frequency of the spindle well.
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Acknowledgements
This research is supported by Beijing Science and Technology Planning Project (Grant No. Z201100008320004).
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Zhang, Z., Wang, H., Xing, J., Gu, F., Wang, X. (2023). Spindle Health Assessment Based on Rotor Perception. In: Zhang, H., Feng, G., Wang, H., Gu, F., Sinha, J.K. (eds) Proceedings of IncoME-VI and TEPEN 2021. Mechanisms and Machine Science, vol 117. Springer, Cham. https://doi.org/10.1007/978-3-030-99075-6_35
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DOI: https://doi.org/10.1007/978-3-030-99075-6_35
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