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author:

Wang, J. (Wang, J..) [1] | Zhang, J. (Zhang, J..) [2]

Indexed by:

Scopus

Abstract:

For proactively arranged downtime and maintenance of the gearbox, the accurate assessment of residual useful life (RUL) for worn-surface gear is a critical problem that needs to be solved. In light of this, a novel dynamic assessment methodology for RUL of sun gear was proposed by coupling Archard’s wear model and a nonlinear dynamics model. By modifying the internal excitation model, the effect of tooth surface wear is included in the dynamics model. Then, the effect of dynamic behavior on the wear process of the tooth surface is further fed back by the dynamic meshing force. On this basis, the influence of input speed, torque load and initial wear depth on the RUL was analyzed using a planetary gear NGW11-6 as an example. The results indicate that the torque load has the greatest influence on the RUL, followed by the initial wear depth, and that the input speed has the least influence. The established methodology will provide a theoretical basis for the RUL assessment and scheduled maintenance of transmission systems with worn-surface gears. © 2023 by the authors.

Keyword:

planetary gear train residual useful life static transmission error time-varying meshing stiffness tooth surface wear

Community:

  • [ 1 ] [Wang, J.]School of Advanced Manufacturing, Fuzhou University, Jinjiang362200, China
  • [ 2 ] [Wang, J.]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350116, China
  • [ 3 ] [Zhang, J.]School of Advanced Manufacturing, Fuzhou University, Jinjiang362200, China
  • [ 4 ] [Zhang, J.]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350116, China

Reprint 's Address:

  • [Zhang, J.]School of Advanced Manufacturing, Jinjiang, China

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Related Keywords:

Source :

Machines

ISSN: 2075-1702

Year: 2023

Issue: 2

Volume: 11

2 . 1

JCR@2023

2 . 1 0 0

JCR@2023

ESI HC Threshold:35

JCR Journal Grade:2

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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