Influences of tooth spalling or local breakage on time-varying mesh stiffness of helical gears

Han, Lin-Hai; Qi, Houjun

doi:10.1016/j.engfailanal.2017.04.017

Cited by 32 publications

(17 citation statements)

References 19 publications

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“…Due to presence of a defect on the gear tooth surface, gear mesh stiffness could change as a function of time, and hence, gear angular velocity could change as a function of rotation, which results in frequency modulation (FM). The AM and FM effects are virtually inseparable, and the resulting spectrum will be a combination of the sidebands produced by these two effects .…”

Section: Resultsmentioning

confidence: 99%

Gear pitting severity level identification using binary segmentation methodology

Kundu

Darpe

Kulkarni

2019

Struct Control Health Monit

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With growth of a defect on the gear tooth surface, vibration response of the geared rotor system changes, which can be quantified using a health indicator. Based on the health indicator, identification of an accurate health stage or categorization is crucial so that the pitting severity classification can be done precisely. In all the prior reported works, the fault severity classification approaches are applied to the seeded pitting fault, and hence, exact state change point is known in advance. However, in the real life, the gear tooth surface is subjected to a natural pitting progression, and exact state change point of the gear is not known a priori. This study presents a binary segmentation methodology for identification of multiple degradation stages such as initial pitting, medium pitting, and severe pitting in a spur gear subjected to natural pitting progression. The gear damage progression is represented by a correlation coefficient-based degradation parameter extracted from the residual vibration signal. Based on the change in distributional properties such as mean and variance of the degradation parameter with time progression, three degradation stages of the gear are identified. A flexible miniature inspection camera is used to access and assess the actual physical damage on the gear tooth surface. Based on the visual inspection pictures, actual damage area at the identified degradation stages is quantified. Performance of the binary segmentation methodology is validated through six run-to-failure accelerated gear pitting experiments.

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Section: Resultsmentioning

confidence: 99%

Gear pitting severity level identification using binary segmentation methodology

Kundu

Darpe

Kulkarni

2019

Struct Control Health Monit

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“…Wang and Zhang 14 approximated the helical gear as a series of independent spur gear slices along axial direction whose face-width is relatively small to analyze the influence of tooth shape deviations and assembly errors on the helical gear mesh stiffness. Han and Qi 15 developed an analytical method to incorporate the faults by combining the slicing method, discrete integral method, and potential energy method. Feng et al 16 adopted a slice method to calculate the time-varying mesh stiffness (TVMS) of helical gear pairs, where the tooth is divided into many individual sliced spur gears along the tooth width, and the stiffness of helical gear pairs is obtained by accumulating the TVMS of the sliced spur gear pairs.…”

Section: Introductionmentioning

confidence: 99%

Numerical study on contact force of paralleled beveloid gears using minimum potential energy theory

Sun

Song

Zhu

et al. 2020

The Journal of Strain Analysis for Engineering Design

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Using minimum potential energy theory and slicing method, a computational approach to calculate the magnitude and distribution of contact force for paralleled beveloid gear pair was proposed in this article. The theoretical tooth contact model was built based on spatial gearing theory to calculate the mesh parameters including the coordinates, normal vectors, and equivalent radius for meshing points. Then, the analytical contact force model of paralleled beveloid gear pair was derived based on minimum potential energy theory. Finite element contact analysis was conducted to verify the proposed model. Finally, the influences of macro-geometry design parameters on the contact force distribution were investigated. Results show that the pressure angle has a limited influence on the contact force distribution. The increase in helix and cone angles will observably increase the asymmetry of contact force distribution as well as the fluctuation of contact force distribution for a single tooth. A good correlation was obtained between the proposed analytical model and the finite element model for the distribution and magnitudes of contact force.

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“…Jiang and Shao studied the effects brought by tooth spalling by assuming a constant per unit of contact length for a single tooth pair. Lin et al [9] proposed an analytical mesh stiffness model based on tooth spalling and local breakage and studied the influence of spalling shape modification on meshing stiffness.…”

Section: Introductionmentioning

confidence: 99%

Influences of tooth crack on time-varying mesh stiffness of helical gears

Chen¹,

Wang²

2018

Proceedings of the 2017 4th International Conference on Machinery, Materials and Computer (MACMC 2017)

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Abstract:The time-varying meshing stiffness (TVMS) provides important information about the health status of the gear system. Tooth faults, like crack, pitting, spalling and breakage will change the TVMS. In order to comprehensively understand the vibration properties of a helical gear set, it is necessary to evaluate the mesh stiffness effectively. In this paper, slicing method, discrete integral method and potential energy method are combined to analytically evaluate the mesh stiffness of a helical gear set. A crack model is developed and the mesh stiffness reduction is quantified when a crack occurs in the pinion or the gear.

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Influences of tooth spalling or local breakage on time-varying mesh stiffness of helical gears

Cited by 32 publications

References 19 publications

Gear pitting severity level identification using binary segmentation methodology

Gear pitting severity level identification using binary segmentation methodology

Numerical study on contact force of paralleled beveloid gears using minimum potential energy theory

Influences of tooth crack on time-varying mesh stiffness of helical gears

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