Analytical investigation of profile shifts on the mesh stiffness and dynamic characteristics of spur gears

Wang, Jinhai; Yang, Jianwei; Lin, Yunlei; He, Yuping

doi:10.1016/j.mechmachtheory.2021.104529

Cited by 33 publications

(16 citation statements)

References 42 publications

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“…Therefore, for this case, the quasi-static mesh stiffness is obtained by OCA when the driving speed is set to 0.001RPM, in order to reduce the influence of the driving speed on the mesh stiffness of the gear system. In the second example, the FEM is only utilized to verify the proposed computation algorithm for VMS, mainly because the mesh stiffness of the gear system obtained by the traditional PEM is still limited to the static condition [39]. Note that the results calculated by OCA and FEM are both used quadratic quadrilateral elements in order to make a comparison of test results.…”

Section: Feasibility Study Of Ocamentioning

confidence: 99%

Dynamic Analysis of Spur Gears System with Velocity-dependent Mesh Stiffness and Dynamic Force Increment

Liu

et al. 2023

Preprint

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The actual gear mesh process is dynamic and the driving speed is of a great significance for dynamic response, while its nonlinear effect in the evaluation of mesh stiffness has commonly ignored by many scholars. In this paper, a new nonlinear dynamic model for spur gear system considering dynamic force increment, together with the effect of velocity-dependent mesh stiffness is developed to obtain the dynamic response. An original computational algorithm for calculating velocity-dependent mesh stiffness based on analytical-FEM framework is proposed, whose correction is verified by finite element method. The steady-state solution of the gear system is studied analytically by numerical simulations. Changes in the dynamic responses in the time/frequency domains using the driving speed as the control parameter are examined, and the nonlinear relationship between the driving speed and the time-varying mesh stiffness is demonstrated. Numerical results are presented to illustrate and quantify the influence of velocity-dependent mesh stiffness and dynamic force increment on the dynamic characteristics of the spur gear system. The results presented in this study demonstrate the reasonable accuracy of velocity-dependent mesh stiffness, and provide a theoretical basis for the follow-up research and experiment in the field of spur gear system dynamics.

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Section: Feasibility Study Of Ocamentioning

confidence: 99%

Dynamic Analysis of Spur Gears System with Velocity-dependent Mesh Stiffness and Dynamic Force Increment

Liu

et al. 2023

Preprint

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“…The time-varying meshing stiffness (TVMS) is the research core of the fault mechanism for gear systems, and it is the main factor in describing gear meshing excitation. TVMS modeling based on the potential energy method (PEM) has the advantages of good interpretation, fast calculation, and high accuracy, and it is currently a hot research topic in the field [6][7][8][9][10][11][12]. The TVMS model based on PEM plays a significant role in the study of the fault mechanism and dynamic analysis of gear cracks [13], wear [14], spalling, pitting [15], and other faults [16].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Characteristics and Fault Mechanism of the Gear Tooth Spalling in Railway Vehicles under Traction Conditions

Lin

Chen

et al. 2023

Applied Sciences

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Gear tooth spalling is one of the inevitable fault modes in the long-term service of the traction transmission system of railway vehicles, which can worsen the dynamic load of the rotating mechanical system and reduce the operating quality. Therefore, it is necessary to study its fault mechanism to guide fault diagnosis scientifically. This paper established a planar railway vehicle model with a traction transmission system and an analytical time-varying meshing stiffness (TVMS) model of the spalling spur gear. Then, it analyzed the dynamic characteristics under traction conditions. The research found that the spalling length and depth affect the amplitude of the TVMS at the defect, while the width affects the range of the TVMS loss. The crest factor is the best evaluation indicator in ideal low-noise environments due to its sensitivity and linearity, but it is not good in strong-noise environments. Similarly, a time–frequency analysis tool cannot significantly detect the sideband characteristics that are excited by spalling. After high-pass filtering, the root mean square and variance exhibit excellent classification and vehicle speed independence in strong-noise environments. This research achievement can provide adequate theoretical support for feature selection and making strategies for fault diagnosis of railway vehicle gear systems.

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“…Wang and Yang et al [23,24] studied the influence profile shift on the time-varying meshing stiffness and dynamic characteristics. They also studied the dynamic characteristics of railway vehicle axlebox bearings under fault conditions, which has provided help for the design and fault diagnosis of gears and bearings.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Characteristics of a Traction Drive System in High-Speed Train Based on Electromechanical Coupling Modeling under Variable Conditions

Yang

Liu

et al. 2022

Energies

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The traction drive system of a high-speed train has a vital role in the safe and efficient operation of the train. This paper established an electromechanical coupling model of a high-speed train. The model considers the interaction of the gear pair, the equivalent connecting device of the transmission system, the equivalent circuit of the traction motor, and the direct torque control strategy. Moreover, the numerical simulation of the high-speed train model includes constant speed, traction, and braking conditions. The results indicate that the meshing frequency and the high harmonics rotation frequency constitute the stator current. Furthermore, both frequencies are evident during constant speed. However, they are blurry among other conditions except for twice the rotation frequency. Meanwhile, the rotor and stator currents’ root-mean-square (RMS) values during traction are less than the RMS value during braking. The initiation of traction and braking causes a significant increase in current. During the traction and braking process, the RMS value of the current gradually decreases. Therefore, it is necessary to pay attention to the impact of the transition process on system reliability.

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Analytical investigation of profile shifts on the mesh stiffness and dynamic characteristics of spur gears

Cited by 33 publications

References 42 publications

Dynamic Analysis of Spur Gears System with Velocity-dependent Mesh Stiffness and Dynamic Force Increment

Dynamic Analysis of Spur Gears System with Velocity-dependent Mesh Stiffness and Dynamic Force Increment

Dynamic Characteristics and Fault Mechanism of the Gear Tooth Spalling in Railway Vehicles under Traction Conditions

Dynamic Characteristics of a Traction Drive System in High-Speed Train Based on Electromechanical Coupling Modeling under Variable Conditions

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