Dynamic characteristics of helical gears under sliding friction with spalling defect

Jiang, Hanjun; Shao, Yimin; Mechefske, Chris K.

doi:10.1016/j.engfailanal.2014.01.008

Cited by 97 publications

(59 citation statements)

References 21 publications

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“…The contact line for a helical gear pair can be determined from the kinematic compatibility between the numerically generated surfaces of the teeth in contact, as expressed by Kar and Mohanty [35,36] and subsequently modified by Jiang [37,39]. The number of contact lines present in the contact zone depends upon the basic parameters of the gears, such as the normal module, the helix angle, the face width and the transmission ratio.…”

Section: Effect Of Wear On Time Varying Mesh Stiffnessmentioning

confidence: 99%

“…The summation of the lengths of the contact lines can be used as an alternative method to identify the varying mesh stiffness of helical gears [35][36][37][38][39], which is otherwise difficult to obtain due to the complexity of the contact geometry. The overall stiffness function is defined as a combination of the total length of the contact lines and a constant mesh stiffness density per unit length along the contact lines, as expressed in the ISO Standard Number 6336 [39,57].…”

Section: Effect Of Wear On Time Varying Mesh Stiffnessmentioning

confidence: 99%

“…Kar and Mohanty [35,36] suggested an algorithm for determination of the time-varying stiffness, time varying frictional force and torque between meshing teeth and the bearings in a helical gear system. This algorithm was revised and refined by Jiang et al [37][38][39] to develop more accurate representations in stiffness variations of helical gears during the mesh process. They investigated the effect of spalling defect, tooth breakage and mesh misalignment on the helical gear dynamic features.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Effect Of Wear On Time Varying Mesh Stiffnessmentioning

confidence: 99%

Section: Effect Of Wear On Time Varying Mesh Stiffnessmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Helical gear wear monitoring: Modelling and experimental validation

Brethee

Zhen

et al. 2017

Mechanism and Machine Theory

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“…In the meantime, sliding friction between the tooth surfaces has been reported to be one of the main sources of power loss in geared transmissions as well as a potential source of undesired vibration and noise (Diab, Ville, & Velex, 2006;Jiang, Shao, & Mechefske, 2014;Vaishya & Singh, 2001). A 6-degree-of-freedom (DOF) dynamic model of a spur gear pair influenced by friction was proposed in He, Cho, and Singh (2008) and Kahraman, Lim, and Ding (2007), which examined gear design modifications on the gear dynamic responses.…”

Section: Introductionmentioning

confidence: 99%

Frictional effects on the dynamic responses of gear systems and the diagnostics of tooth breakages

Brethee

Ball

2016

Systems Science & Control Engineering

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To develop accurate diagnostic techniques, this study examines the dynamic responses of spur gear transmission system with including frictional effects on a tooth mesh process. An 8-degreeof-freedom model is developed to include the effects of supporting bearings, a driving motor and a loading system. Moreover, it takes into account not only the time-varying stiffness, but also the time-varying forces and moments due to the frictional 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 of diagnostics. However, features from torsional responses and the principal responses in the line-of-action show less changes in the vibration level, whereas the most significant increasing is in the OLOA direction. Furthermore, the spectral peaks at the rotational and sideband frequencies are influenced significantly by small breakage defects, especially when the friction effect is taken into account. In addition, the second and third harmonics of the mesh frequency are more influenced than the first harmonic component for all motions, which can be effective features for both indicating lubrication deterioration and improving conventional diagnostic features. ARTICLE HISTORY

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“…In the meantime, sliding friction between the tooth surfaces has been reported to be one of the main sources of power loss in geared transmissions as well as an effective source of undesired vibration and noise [20][21][22]. A six-degree-of-freedom dynamic model of a spur gear pair influenced by friction was proposed in [23,24], which was used to examine gear design modifications on the gear dynamic responses.…”

Section: Introductionmentioning

confidence: 99%