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[会议论文]

Design and Analysis of Modified Non-orthogonal Helical Face-Gears with a High-Order Transmission Error

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author:

Xu, Junhong (Xu, Junhong.) [1] | Jia, Chao (Jia, Chao.) [2]

Indexed by:

EI Scopus

Abstract:

In order to improve the meshing performance of non-orthogonal helical face-gears, a designation of double-crowned tooth modification with high-order transmission error (HTE) is constructed in this paper. First, the double-crowned tooth modification is designed based on the tooth profile modification of the rack-cutter and the motion relationship between the rack-cutter and the processed pinion, and then, the designation of high-order tooth modification is verified by using tooth contact analysis (TCA). Second, a parameterized 3D grid of modified gears is generated based on MATLAB programming, and a simulation of loaded tooth contact analysis for modified non-orthogonal helical face-gears is carried out by using ABAQUS software. Third, the calculation results of the standard tooth, second-order parabolic modified tooth and high-order parabolic modified tooth are compared with and without the assembly errors. Ultimately, an example is presented and the results show that the geometric transmission error of the newly designed high-order modified non-orthogonal helical face-gears conforms to the expected design. Compared with the second-order parabolic tooth modification, the newly designed high-order tooth modification pair shows a better meshing performance with and without assembly errors. The research of this paper can provide ideas and methods for the tooth modification design of non-orthogonal helical face-gear. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Keyword:

ABAQUS Errors Helical gears MATLAB Transmissions

Community:

  • [ 1 ] [Xu, Junhong]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Jia, Chao]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China

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Source :

ISSN: 2195-4356

Year: 2023

Page: 227-255

Language: English

Cited Count:

WoS CC Cited Count:

30 Days PV: 1

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