Dynamic response of a Spur gear system with uncertain friction coefficient

Guerine, Ahmed; Hami, Abdelkhalak El; Walha, Lassâad; Fakhfakh, Tahar; Haddar, Mohamed

doi:10.1016/j.advengsoft.2016.05.009

Cited by 43 publications

(15 citation statements)

References 22 publications

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“…Afterwards, researchers understand that a constant friction coefficient is acceptable in gear dynamic analysis and whine noise prediction. Most scholars adopt the Coulomb friction model [205][206][207][208][209][210] and a user-defined constant friction coefficient. However, Liu et al [211] observed that the variance of the frictional coefficient should not be neglected.…”

Section: Friction Force Prediction Vaishya and Singhmentioning

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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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: Friction Force Prediction Vaishya and Singhmentioning

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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“…Dynamic behavior of gear transmission system directly affects its NVH performance, 2 and many scholars have carried out research work on dynamic modeling, analysis, and optimization of gear transmission system. [3][4][5][6][7][8][9][10] Dynamic modeling mainly includes finite element method (FEM) [5][6][7]9 and lumped parameter method. 3,4,8,10 Liu et al 9 applied FEM to study the effect of meshing impact force and meshing stiffness on the dynamic behavior of gear transmission system in EV.…”

Section: Introductionmentioning

confidence: 99%

“…6 Li et al 3 establish a dynamic model for two-parallel shaft gear transmission system and study the dynamic characteristics for nonlinear behavior research and noise control. Guerine et al 8 developed a lumped dynamic model with 8-DOFs to determine the dynamic response of a spur gear system with uncertainty. Wei et al 4 proposed a comprehensive dynamic modeling method to obtain accurate vibration response predictions in the planetary gear system.…”

Section: Introductionmentioning

confidence: 99%

Effects of lightweight gear blank on noise, vibration and harshness for electric drive system in electric vehicles

Hou

Lei

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part K:

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In this paper, effects of lightweight gear blank on static and dynamic behavior for electric drive system in electric vehicles are studied. First, a hybrid finite element-analytical method is proposed in this paper to establish gear load contact analysis model considering the structure of lightweight gear blank, which can balance the computing speed and numerical accuracy. Second, this paper establishes a rigid-flexible coupled dynamic model of electric drive system considering shaft elasticity, bearing stiffness, and housing flexibility. Finally, aiming at the noise, vibration, and harshness problem of an electric drive system equipped on electric vehicles, effects of gear web and gear rim thickness on noise, vibration, and harshness excitation source such as static transmission error and dynamic meshing force as well as dynamic response at bearings and housing are analyzed. The results show that changing gear web and gear rim thickness can significantly reduce dynamic meshing force and dynamic response. Compared with solid gear, dynamic meshing force is reduced by 68.50%, and dynamic response is reduced by 66.70% after optimization, thereby significantly improving the noise, vibration, and harshness performance of gear transmission system in electric vehicles.

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“…ese errors affect the contact characteristics of gears, worsen the stability and bearing capability of gear transmission, and cause enormous noise and vibration. us, many scholars pay close attention to the prediction and control of gear vibration and noise in their transmission designs [1][2][3][4][5][6][7][8]. After an extensive study, some researchers have used the tooth profile modification to compensate the elastic deformation of gear teeth to reduce the gear vibration [9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Experimental and Theoretical Study of Gear Dynamical Transmission Characteristic Considering Measured Manufacturing Errors

Guo

Fang

2018

Shock and Vibration

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In the research of gear transmission, the vibration and noise problem has received many concerns all the times. Scholars use tooth modification technique to improve the meshing state of gearings in order to reduce the vibration and noise. However, few of researchers consider the influence of measured manufacturing errors when they do the study of tooth modification. In order to investigate the efficiency of the tooth modification in the actual project, this paper proposes a dynamic model of a helical gear pair including tooth modification and measured manufacturing errors to do a deterministic analysis on the dynamical transmission performance. In this analysis, based on the measured tooth deviation, a real tooth surface (including modification and measured tooth profile error) is fitted by a bicubic B-spline. With the tooth contact analysis (TCA) and loaded tooth contact analysis (LTCA) on the real tooth surface, the loaded transmission error, tooth surface elastic deformation, and load distribution can be determined. Based on the results, the time-varying mesh stiffness and gear mesh impact are computed. Taking the loaded transmission error, measured cumulative pitch error, eccentricity error, time-varying mesh stiffness, and gear mesh impact as the internal excitations, this paper establishes a 12-degree-of-freedom (DOF) dynamic model of a helical gear pair and uses the Fourier series method to solve it. In two situations of low speed and high speed, the gear system dynamic response is analyzed in the time and frequency domains. In addition, an experiment is performed to validate the simulation results. The study shows that the proposed technique is useful and reliable for predicting the dynamic response of a gear system.

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Dynamic response of a Spur gear system with uncertain friction coefficient

Cited by 43 publications

References 22 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

Effects of lightweight gear blank on noise, vibration and harshness for electric drive system in electric vehicles

Experimental and Theoretical Study of Gear Dynamical Transmission Characteristic Considering Measured Manufacturing Errors

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