Abstract
The minimum of tooth surface flash temperature and vibration acceleration RMS design is proposed and analyzed. The tooth contact analysis (TCA) and the load tooth contact analysis (LTCA) method and multi-objective optimization are also detailed. Satisfying design variables in multiple physical quantities leads to the minimum of multi-objective optimization. Considering the tooth surface loading conditions are uniform or not, the optimal modification of the tooth surface for improving gear comprehensive characteristics under various load bearing conditions is improved. The tooth surface flash temperature and vibration acceleration root mean square (RMS) values in different transmission modes of marine ship power rear gears drive system are derived. This research considers the multi-objective optimization modifications of tooth surface, and its main purpose is to propose an approach to help design tooth corrections to simultaneously optimize several objective physical quantities.
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Recommended by Associate Editor Sungsoo Na
Xigui Wang received his B.S. and M.S. in Mechanical Engineering in 1995 and his Ph.D. in 2006 from the Harbin Institute of Technology (HIT) in China. Presently, he is an Associate Professor for the Mechatronics School at the University. His current research interests are focused on machine and structural design optimization, ship power rear drive system diagnostics and prognostics, vibration analysis, vibration measurement techniques and model updating.
Yongmei Wang received her B.S. and M.S. in Mechanical Engineering at the Harbin Institute of Technology (HIT) in 1997. She has an academic career spanning 15 years at the Motorcar Engineering School (Heilongjiang Institute of Technology) as an Associate Professor. Her research interests include warship power rear drive system and industrial intelligent mechanical devices technologies.
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Wang, X., Wang, Y., Liu, Y. et al. Multi-objective optimization modification of a tooth surface with minimum of flash temperature and vibration acceleration RMS. J Mech Sci Technol 32, 3097–3106 (2018). https://doi.org/10.1007/s12206-018-0612-z
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DOI: https://doi.org/10.1007/s12206-018-0612-z