Nonlinear dynamic analysis of two external excitations for the gear system using an original computational algorithm

•A dynamic gear model is developed by incorporating two external excitations.•An original computational algorithm is proposed with smarter time-step methods.•The numerical advantages of the original computational algorithm are illustrated.•The influence of two external excitations are systematically...

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Vydané v:Mechanical systems and signal processing Ročník 144; s. 106823
Hlavní autori: Liu, Fuhao, Zhang, Liang, Jiang, Hanjun, Zhang, Jielu
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Berlin Elsevier Ltd 01.10.2020
Elsevier BV
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ISSN:0888-3270, 1096-1216
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Abstract •A dynamic gear model is developed by incorporating two external excitations.•An original computational algorithm is proposed with smarter time-step methods.•The numerical advantages of the original computational algorithm are illustrated.•The influence of two external excitations are systematically investigated. In this work, a dynamic gear model has been developed by incorporating both the driving speed and the drag torque as external excitation sources. An original computational algorithm, with adaptive selection of the time-step method (for guaranteeing precision) and smarter time-step reduced method (for increasing efficiency), is proposed by defining a very small transition area between lubricant and solid contact. This algorithm can overcome the limitations of known prior research work and make sure an accurate determination of the time and position for lubricant/solid contact. Numerical results are presented to illustrate and quantify the influence of the external excitations, as well as the numerical advantages of the original computational algorithm in comparison with various Matlab solvers. The results presented in this study provide an understanding of the external excitations under which undesirable dynamic motion takes place and therefore serve as a useful source of reference for engineers in controlling such gear systems.
AbstractList In this work, a dynamic gear model has been developed by incorporating both the driving speed and the drag torque as external excitation sources. An original computational algorithm, with adaptive selection of the time-step method (for guaranteeing precision) and smarter time-step reduced method (for increasing efficiency), is proposed by defining a very small transition area between lubricant and solid contact. This algorithm can overcome the limitations of known prior research work and make sure an accurate determination of the time and position for lubricant/solid contact. Numerical results are presented to illustrate and quantify the influence of the external excitations, as well as the numerical advantages of the original computational algorithm in comparison with various Matlab solvers. The results presented in this study provide an understanding of the external excitations under which undesirable dynamic motion takes place and therefore serve as a useful source of reference for engineers in controlling such gear systems.
•A dynamic gear model is developed by incorporating two external excitations.•An original computational algorithm is proposed with smarter time-step methods.•The numerical advantages of the original computational algorithm are illustrated.•The influence of two external excitations are systematically investigated. In this work, a dynamic gear model has been developed by incorporating both the driving speed and the drag torque as external excitation sources. An original computational algorithm, with adaptive selection of the time-step method (for guaranteeing precision) and smarter time-step reduced method (for increasing efficiency), is proposed by defining a very small transition area between lubricant and solid contact. This algorithm can overcome the limitations of known prior research work and make sure an accurate determination of the time and position for lubricant/solid contact. Numerical results are presented to illustrate and quantify the influence of the external excitations, as well as the numerical advantages of the original computational algorithm in comparison with various Matlab solvers. The results presented in this study provide an understanding of the external excitations under which undesirable dynamic motion takes place and therefore serve as a useful source of reference for engineers in controlling such gear systems.
ArticleNumber 106823
Author Zhang, Liang
Jiang, Hanjun
Liu, Fuhao
Zhang, Jielu
Author_xml – sequence: 1
  givenname: Fuhao
  orcidid: 0000-0002-8641-7506
  surname: Liu
  fullname: Liu, Fuhao
  email: fuhaoliu@mvrlab.com
  organization: School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266520, China
– sequence: 2
  givenname: Liang
  surname: Zhang
  fullname: Zhang, Liang
  organization: School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266520, China
– sequence: 3
  givenname: Hanjun
  surname: Jiang
  fullname: Jiang, Hanjun
  organization: School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266520, China
– sequence: 4
  givenname: Jielu
  surname: Zhang
  fullname: Zhang, Jielu
  organization: Jiangsu Tailong Decelerator Machinery Co., Ltd., Jiangsu 225400, China
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Keywords Computational algorithm
DTE
OCA
Nonlinear vibration
External excitations
Gear system
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SSID ssj0009406
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Snippet •A dynamic gear model is developed by incorporating two external excitations.•An original computational algorithm is proposed with smarter time-step...
In this work, a dynamic gear model has been developed by incorporating both the driving speed and the drag torque as external excitation sources. An original...
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StartPage 106823
SubjectTerms Adaptive algorithms
Algorithms
Computational algorithm
Dynamical systems
Excitation
External excitations
Gear system
Nonlinear analysis
Nonlinear dynamics
Nonlinear vibration
Solvers
Title Nonlinear dynamic analysis of two external excitations for the gear system using an original computational algorithm
URI https://dx.doi.org/10.1016/j.ymssp.2020.106823
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