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Tooth fracture detection in spiral bevel gears system by harmonic response based on finite element method

Tooth fracture detection in spiral bevel gears system by harmonic response based on finite element method
Tooth fracture detection in spiral bevel gears system by harmonic response based on finite element method
Spiral bevel gears occupy several advantages such as high contact ratio, strong carrying capacity, and smooth operation, which become one of the most widely used components in high-speed stage of the aeronautical transmission system. Its dynamic characteristics are addressed by many scholars. However, spiral bevel gears, especially tooth fracture occurrence and monitoring, are not to be investigated, according to the limited published issues. Therefore, this paper establishes a three-dimensional model and finite element model of the Gleason spiral bevel gear pair. The model considers the effect of tooth root fracture on the system due to fatigue. Finite element method is used to compute the mesh generation, set the boundary condition, and carry out the dynamic load. The harmonic response spectra of the base under tooth fracture are calculated and the influence of main parameters on monitoring failure is investigated as well. The results show that the change of torque affects insignificantly the determination of whether or not the system has tooth fracture. The intermediate frequency interval (200 Hz–1000 Hz) is the best interval to judge tooth fracture occurrence. The best fault test region is located in the working area where the system is going through meshing. The simulation calculation provides a theoretical reference for spiral bevel gear system test and fault diagnosis.
1687-5249
1-8
Chen, Yuan
77302fa5-7cf8-461a-9c60-9ce608590246
Zhu, Rupeng
244506bc-af66-4b40-80b5-ff3d1d11742d
Jin, Guanghu
9cecd7e6-3cf9-4f95-a574-35044c4f4c7b
Xiong, Yeping
51be8714-186e-4d2f-8e03-f44c428a4a49
Chen, Yuan
77302fa5-7cf8-461a-9c60-9ce608590246
Zhu, Rupeng
244506bc-af66-4b40-80b5-ff3d1d11742d
Jin, Guanghu
9cecd7e6-3cf9-4f95-a574-35044c4f4c7b
Xiong, Yeping
51be8714-186e-4d2f-8e03-f44c428a4a49

Chen, Yuan, Zhu, Rupeng, Jin, Guanghu and Xiong, Yeping (2017) Tooth fracture detection in spiral bevel gears system by harmonic response based on finite element method. Journal of Control Science and Engineering, 2017, 1-8. (doi:10.1155/2017/3169172).

Record type: Article

Abstract

Spiral bevel gears occupy several advantages such as high contact ratio, strong carrying capacity, and smooth operation, which become one of the most widely used components in high-speed stage of the aeronautical transmission system. Its dynamic characteristics are addressed by many scholars. However, spiral bevel gears, especially tooth fracture occurrence and monitoring, are not to be investigated, according to the limited published issues. Therefore, this paper establishes a three-dimensional model and finite element model of the Gleason spiral bevel gear pair. The model considers the effect of tooth root fracture on the system due to fatigue. Finite element method is used to compute the mesh generation, set the boundary condition, and carry out the dynamic load. The harmonic response spectra of the base under tooth fracture are calculated and the influence of main parameters on monitoring failure is investigated as well. The results show that the change of torque affects insignificantly the determination of whether or not the system has tooth fracture. The intermediate frequency interval (200 Hz–1000 Hz) is the best interval to judge tooth fracture occurrence. The best fault test region is located in the working area where the system is going through meshing. The simulation calculation provides a theoretical reference for spiral bevel gear system test and fault diagnosis.

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Accepted/In Press date: 19 October 2017
Published date: 3 December 2017

Identifiers

Local EPrints ID: 416657
URI: http://eprints.soton.ac.uk/id/eprint/416657
ISSN: 1687-5249
PURE UUID: 3f44a8cb-7627-4133-96c7-5eaf95cb5226
ORCID for Yeping Xiong: ORCID iD orcid.org/0000-0002-0135-8464

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Date deposited: 04 Jan 2018 17:30
Last modified: 20 Jul 2019 01:07

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