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Influence of oil film nonlinearity on identification accuracy of dynamic characteristic coefficient of heavy-duty sliding bearing

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Abstract

Because the oil film of sliding bearing shows significant nonlinearity under heavy load condition, its influence cannot be ignored in the process of dynamic characteristic test. Taking a heavy-duty tilting pad journal bearing as an example, a quadratic function is proposed to characterize the nonlinear oil film force in this paper. The nonlinear oil film force of different load conditions is fitted by the least square algorithm, and the parametric expressions of the nonlinear oil film force are obtained. The bearing vibration response under sinusoidal excitation is calculated considering the nonlinearity of oil film force, and the frequency spectrums of the vibration response are obtained and analyzed by the FFT correction algorithm. Based on the frequency domain method for the dynamic characteristics test of sliding bearings, the stiffness and damping coefficients are identified by the amplitude ratio and the difference of phase between the excitation force and the vibration response. The linear and nonlinear dynamic characteristic coefficients at the corresponding equilibrium positions are compared, and the variation law of the identification accuracy caused by the nonlinear oil film force is obtained. The results show that the oil film nonlinearity is not obvious at small eccentricity (light load) or small disturbance range (± 3 μm). At large eccentricity (heavy load) and large disturbance range, the nonlinearity of oil film makes the identification accuracy of the stiffness and damping coefficients become worse. When the disturbance range is ± 10 μm, the identification error of stiffness coefficient is about 25%, and the identification error of damping coefficient is more than 60%. This work provides theoretical foundation and data support for the test parameters selection and test error correction of dynamic characteristics identification of heavy-duty bearings.

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Acknowledgements

The work is supported by the National Natural Science Foundation of China (No.11802232), the Key Research and Development Program of Shaanxi Province (No. 2022GY-209), and the China Postdoctoral Science Foundation (No. 2021MD703875).

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Authors and Affiliations

  1. School of Mechanical and Precision Instrument Engineering, Xi’an University of Technology, Xi’an, 710048, China

    Runlin Chen, Jie Tang, Fan Xu, Chen Du, Yahui Cui & Kai Liu

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Correspondence to Runlin Chen.

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Chen, R., Tang, J., Xu, F. et al. Influence of oil film nonlinearity on identification accuracy of dynamic characteristic coefficient of heavy-duty sliding bearing. J Braz. Soc. Mech. Sci. Eng. 45, 233 (2023). https://doi.org/10.1007/s40430-023-04157-2

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