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Experimental modal test of the spiral bevel gear wheel using the PolyMAX method

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Abstract

To verify the effectiveness and correctness of free modal analysis results from a Spiral bevel gear (SBG) wheel by using Finite element method (FEM), an experimental platform was constructed through the free-hanging support of the SBG wheel. The experiment used the hammer knock percussion for excitation and a three-directional acceleration sensor as signal acquisition equipment and utilized the LMS modal analysis module. The geometric model of the SBG wheel was constructed using an eight-node octagon instead of the SBG wheel outer contour. The experiment then extracted the modal parameters of the wheel using the PolyMAX method and obtained the first- and second-order natural frequencies, damping ratios, and mode shapes of the SBG wheel at 0-7 kHz during the experimental modal test. The results of the experimental test were compared with those of the FEM free modal analysis. The first- and second-order natural frequency error rates by FEM were 0.25 % and 0.45 %, respectively. The experimental modal test result verified the rationality of the model by FEM, thus showing that the result of modal analysis by FEM is reliable and providing a basis for the dynamic characteristic analysis of SBG.

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Correspondence to Tieming Xiang.

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Recommended by Associate Editor Sungsoo Na

Tieming Xiang obtained his Ph.D. in mechanical engineering from Huaqiao University in 2017. Dr. Xiang is currently a Senior Engineer at the School of Mechanical & Automotive Engineering, Xiamen University of Technology, China. His research interests include NVH and CAE.

Diandian Lan received her B.S. and M.S. degrees from Chongqing University in 1991 and 2003, respectively. She is currently a Senior Engineer at the School of Mechanical & Automotive Engineering, Xiamen University of Technology, China. Her research interests include vibration, detection, and NVH.

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Xiang, T., Lan, D., Zhang, S. et al. Experimental modal test of the spiral bevel gear wheel using the PolyMAX method. J Mech Sci Technol 32, 21–28 (2018). https://doi.org/10.1007/s12206-017-1203-0

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  • DOI: https://doi.org/10.1007/s12206-017-1203-0

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