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

doi:10.1109/iconac.2015.7313957

Cited by 2 publications

(3 citation statements)

References 23 publications

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“…Reference [190] e definition and value of each coefficient in the formula can be found in the corresponding reference. [173] x pi (t) � L XA + (n − i)nλ + Ω pn r bp t − λn floor(Ω pn r bp t/λ) x gi (t) � L YC + inλ − Ω pn r bp t + λn floor(Ω pn r bpt /λ) [178,180,186,190] [189] e definition and value of each coefficient in the formula can be found in the corresponding reference.…”

Section: Sign Functionsmentioning

confidence: 99%

“…Wang et al [189] stated that friction forces could change the motion stability of a gear system. Brethee et al [190] discovered that the motions along the OLOA were sensitive to the variance of friction forces. All the research studies mentioned above reach an agreement that friction forces and moments are indeed significant excitations of gear vibration and noise along the OLOA direction.…”

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confidence: 99%

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Classifying, Predicting, and Reducing Strategies of the Mesh Excitations of Gear Whine Noise: A Survey

Sun

Liu

et al. 2020

Shock and Vibration

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Gear whine noise has attracted increasing attention from researchers in both the academe and the industry over the past two decades. The wide range of research topics demonstrates that there is a huge technical challenge in understanding the source-path-receiver mechanisms deeply and predicting the gear whine noise precisely. Thoroughly understanding the sources of gear whine noise is the first step to solving this issue. In this paper, the authors summarize a certain number of published articles regarding the sources of gear whine noise. The excitations of gear whine noise are classified into three groups: transmission error along the line of action direction, frictional excitations along the off-line of action direction, and shuttling excitation along the axial direction. The mechanisms, characteristics, predicting approaches, measuring methods, and decreasing strategies for these excitations are summarized. Current research characteristics and future research recommendations are presented at the end.

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Section: Sign Functionsmentioning

confidence: 99%

mentioning

confidence: 99%

Classifying, Predicting, and Reducing Strategies of the Mesh Excitations of Gear Whine Noise: A Survey

Sun

Liu

et al. 2020

Shock and Vibration

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“…These have indicated that friction appears as a non-negligible excitation source, which can generate significant time-varying excitations and enhance the amplitudes of the lower and higher harmonics of the translational responses, which in turn can enhance conventional diagnostic features [58]. To date, few studies have focused on the diagnostics of tooth surface wear with the inclusion of frictional effects and most of the presented helical gear models have not been validated with the experimental work.…”

Section: Introductionmentioning

confidence: 99%

Helical gear wear monitoring: Modelling and experimental validation

Brethee

Zhen

et al. 2017

Mechanism and Machine Theory

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Gear tooth surface wear is a common failure mode. It occurs over relatively long periods of service nonetheless, it degrades operating efficiency and lead to other major failures such as excessive tooth removal and catastrophic breakage. To develop accurate wear detection and diagnosis approaches at the early phase of the wear, this paper examines the gear dynamic responses from both experimental and numerical studies with increasing extents of wear on tooth contact surfaces. An experimental test facility comprising of a back-to-back two-stage helical gearbox arrangement was used in a run-tofailure test, in which variable sinusoidal and step increment loads along with variable speeds were applied and gear wear was allowed to progress naturally. A comprehensive dynamic model was also developed to study the influence of surface wear on gear dynamic response, with the inclusion of time-varying stiffness and tooth friction based on elasto-hydrodynamic lubrication (EHL) principles.The model consists of an 18 degree of freedom (DOF) vibration system, which includes the effects of the supporting bearings, driving motor and loading system. It also couples the transverse and torsional motions resulting from time-varying friction forces, time varying mesh stiffness and the excitation of different wear severities. Vibration signatures due to tooth wear severity and frictional excitations were acquired for the parameter determination and the validation of the model with the experimental results. The experimental test and numerical model results show clearly correlated behaviour, over different gear sizes and geometries. The spectral peaks at the meshing frequency components along with their sidebands were used to examine the response patterns due to wear. The paper concludes that the mesh vibration amplitudes of the second and third harmonics as well as the sideband components increase considerably with the extent of wear and hence these can be used as effective features for fault detection and diagnosis.

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

Cited by 2 publications

References 23 publications

Classifying, Predicting, and Reducing Strategies of the Mesh Excitations of Gear Whine Noise: A Survey

Classifying, Predicting, and Reducing Strategies of the Mesh Excitations of Gear Whine Noise: A Survey

Helical gear wear monitoring: Modelling and experimental validation

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