Analysis of frictional effects on the dynamic response of gear systems and the implications for diagnostics

Khaldoon F. Brethee, Jingwei Gao, Fengshou Gu, Andrew D. Ball

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

To develop accurate diagnostic techniques, this study examines gear dynamic responses based on a model including the frictional effect of tooth mesh process. An 8-DOF (degree-of-freedom) model is developed to include the effect of not only gear dynamics but also supporting bearings, a driving motor and a loading system. Moreover, it takes into account the nonlinearity of both the time varying stiffness and the time-varying forces due to the friction effect. The latter causes additional vibration responses in the direction of the off-line-of-action (OLOA). To show the quantitative effect of the friction, vibration responses are simulated under different friction coefficients. It shows that an increase in friction coefficient value causes a nearly linear increase in the vibration features. However, features from torsional responses and the principal responses in the line-of-action (LOA) show less changes in the vibration level, whereas the most significant increasing is in the OLOA direction. In addition, the second and third harmonics of the meshing frequency are more influenced than the first harmonic component for all motions. These vibration responses are more sensitive for indicating lubrication changes and enhancing conventional diagnostic features.

LanguageEnglish
Title of host publication2015 21st International Conference on Automation and Computing: Automation, Computing and Manufacturing for New Economic Growth, ICAC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9780992680107
DOIs
Publication statusPublished - 30 Oct 2015
Event21st International Conference on Automation and Computing: Automation, Computing and Manufacturing for New Economic Growth - University of Strathclyde, Glasgow, United Kingdom
Duration: 11 Sep 201512 Sep 2015
Conference number: 21
https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7301994 (Link to Conference Proceedings)

Conference

Conference21st International Conference on Automation and Computing
Abbreviated titleICAC
CountryUnited Kingdom
CityGlasgow
Period11/09/1512/09/15
Internet address

Fingerprint

Dynamic Response
Dynamic response
Gears
Diagnostics
Vibration
Friction
Friction Coefficient
Bearings (structural)
Line
Time-varying
Harmonic
Lubrication
Meshing
Stiffness
Degree of freedom
Mesh
Nonlinearity
Motion
Model

Cite this

Brethee, K. F., Gao, J., Gu, F., & Ball, A. D. (2015). Analysis of frictional effects on the dynamic response of gear systems and the implications for diagnostics. In 2015 21st International Conference on Automation and Computing: Automation, Computing and Manufacturing for New Economic Growth, ICAC 2015 [7313957] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IConAC.2015.7313957
Brethee, Khaldoon F. ; Gao, Jingwei ; Gu, Fengshou ; Ball, Andrew D. / Analysis of frictional effects on the dynamic response of gear systems and the implications for diagnostics. 2015 21st International Conference on Automation and Computing: Automation, Computing and Manufacturing for New Economic Growth, ICAC 2015. Institute of Electrical and Electronics Engineers Inc., 2015.
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abstract = "To develop accurate diagnostic techniques, this study examines gear dynamic responses based on a model including the frictional effect of tooth mesh process. An 8-DOF (degree-of-freedom) model is developed to include the effect of not only gear dynamics but also supporting bearings, a driving motor and a loading system. Moreover, it takes into account the nonlinearity of both the time varying stiffness and the time-varying forces due to the friction effect. The latter causes additional vibration responses in the direction of the off-line-of-action (OLOA). To show the quantitative effect of the friction, vibration responses are simulated under different friction coefficients. It shows that an increase in friction coefficient value causes a nearly linear increase in the vibration features. However, features from torsional responses and the principal responses in the line-of-action (LOA) show less changes in the vibration level, whereas the most significant increasing is in the OLOA direction. In addition, the second and third harmonics of the meshing frequency are more influenced than the first harmonic component for all motions. These vibration responses are more sensitive for indicating lubrication changes and enhancing conventional diagnostic features.",
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Brethee, KF, Gao, J, Gu, F & Ball, AD 2015, Analysis of frictional effects on the dynamic response of gear systems and the implications for diagnostics. in 2015 21st International Conference on Automation and Computing: Automation, Computing and Manufacturing for New Economic Growth, ICAC 2015., 7313957, Institute of Electrical and Electronics Engineers Inc., 21st International Conference on Automation and Computing, Glasgow, United Kingdom, 11/09/15. https://doi.org/10.1109/IConAC.2015.7313957

Analysis of frictional effects on the dynamic response of gear systems and the implications for diagnostics. / Brethee, Khaldoon F.; Gao, Jingwei; Gu, Fengshou; Ball, Andrew D.

2015 21st International Conference on Automation and Computing: Automation, Computing and Manufacturing for New Economic Growth, ICAC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7313957.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - To develop accurate diagnostic techniques, this study examines gear dynamic responses based on a model including the frictional effect of tooth mesh process. An 8-DOF (degree-of-freedom) model is developed to include the effect of not only gear dynamics but also supporting bearings, a driving motor and a loading system. Moreover, it takes into account the nonlinearity of both the time varying stiffness and the time-varying forces due to the friction effect. The latter causes additional vibration responses in the direction of the off-line-of-action (OLOA). To show the quantitative effect of the friction, vibration responses are simulated under different friction coefficients. It shows that an increase in friction coefficient value causes a nearly linear increase in the vibration features. However, features from torsional responses and the principal responses in the line-of-action (LOA) show less changes in the vibration level, whereas the most significant increasing is in the OLOA direction. In addition, the second and third harmonics of the meshing frequency are more influenced than the first harmonic component for all motions. These vibration responses are more sensitive for indicating lubrication changes and enhancing conventional diagnostic features.

AB - To develop accurate diagnostic techniques, this study examines gear dynamic responses based on a model including the frictional effect of tooth mesh process. An 8-DOF (degree-of-freedom) model is developed to include the effect of not only gear dynamics but also supporting bearings, a driving motor and a loading system. Moreover, it takes into account the nonlinearity of both the time varying stiffness and the time-varying forces due to the friction effect. The latter causes additional vibration responses in the direction of the off-line-of-action (OLOA). To show the quantitative effect of the friction, vibration responses are simulated under different friction coefficients. It shows that an increase in friction coefficient value causes a nearly linear increase in the vibration features. However, features from torsional responses and the principal responses in the line-of-action (LOA) show less changes in the vibration level, whereas the most significant increasing is in the OLOA direction. In addition, the second and third harmonics of the meshing frequency are more influenced than the first harmonic component for all motions. These vibration responses are more sensitive for indicating lubrication changes and enhancing conventional diagnostic features.

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Brethee KF, Gao J, Gu F, Ball AD. Analysis of frictional effects on the dynamic response of gear systems and the implications for diagnostics. In 2015 21st International Conference on Automation and Computing: Automation, Computing and Manufacturing for New Economic Growth, ICAC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7313957 https://doi.org/10.1109/IConAC.2015.7313957