Abstract

High-frequency noise, which is called gear whine, is a common noise, vibration, and harshness (NVH) problem in the drive axles of commercial vehicles. Although this problem can be solved by gear modification, it is difficult to suppress gear whine effectively because of the difficulty in the selection of the modification parameters. In this paper, on the basis of the combination of the design of experiment (DOE) method and the artificial fish swarm algorithm (AFSA), a method for arriving at the optimal modification design to reduce the peak-to-peak transmission error (PPTE) of helical gear pair is proposed. The method is verified to be effective for reducing gear PPTEs and drive axle vibrations by vehicle road tests with optimized sample pieces. In addition, it is more efficient than the existing methods, as indicated by the results of the gear contact analysis of a coupled dynamic-finite element (FE) model and NVH performance in the tests.

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