4.6 Article

Dynamic Simulation of Cracked Spiral Bevel Gear Pair Considering Assembly Errors

期刊

MACHINES
卷 10, 期 10, 页码 -

出版社

MDPI
DOI: 10.3390/machines10100929

关键词

time-varying mesh stiffness; spiral bevel gear pair; tooth root crack fault; statistical indicator; assembly error

资金

  1. Fundamental Research Funds for the Central Universities [N2103024]
  2. National Science and Technology Major Project [J2019IV-0018-0086]
  3. National Key Laboratory of Science and Technology on Helicopter Transmission [HTL-O-21G03]

向作者/读者索取更多资源

This study investigates the tooth root crack fault of the spiral bevel gear pair (SBGP) by establishing a finite element model and performing tooth contact analysis. The maximum tooth root stress is analyzed considering assembly errors, and the tooth root crack fault of the bevel pinion with different crack degrees is simulated. The time-varying mesh stiffness (TVMS) of the SBGP with different degrees of the pinion tooth root crack fault is obtained. The sensitivities of various statistical indicators for identifying the tooth root crack fault of SBGP under the influence of assembly errors are verified. This paper provides a necessary theoretical basis for the analysis and diagnosis of tooth root crack faults in the SBGP transmission system.
The tooth root crack fault is a common fault type of the spiral bevel gear pair (SBGP). Affected by the strong bearing capacity, the early crack fault of the SBGP cannot be found in time. In this study, a finite element (FE) model of the SBGP is established and assembled through the tooth contact analysis. The maximum tooth root stress is analyzed considering the variation of assembly errors. Meanwhile, this study simulates the tooth root crack fault of the bevel pinion with different crack degrees. The initial position of the crack is located where the maximum tooth root stress appears. The time-varying mesh stiffness (TVMS) of the SBGP considering different degrees of the pinion tooth root crack fault is obtained. The TVMS and the non-load transmission error are brought into a hybrid FE dynamic model, and steady responses are solved. Based on this, the sensitivities of various statistical indicators for identifying the tooth root crack fault of SBGP under the influence of assembly errors are verified. This paper can provide the necessary theoretical basis for the analysis and diagnosis of tooth root crack faults in the SBGP transmission system.

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