Loaded contact pressure distribution prediction for spiral bevel gear

Li, Haonan; Tang, Jinyuan; Chen, Siyu; Rong, Kaibin; Ding, Han; Lu, Rui

doi:10.1016/j.ijmecsci.2022.108027

Cited by 20 publications

(2 citation statements)

References 72 publications

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“…Yuan et al developed a wide-face, double-helical gear vice model with modified tooth surfaces by combining compensating tooth surface modification with multi-objective optimization modification, which can improve the load distribution and reduce the fluctuation of the vibration excitation force [20]. A multitooth loaded contact analysis model was developed by Li et al to determine the meshing force and contact pressure distribution of a spiral bevel gear set using conjugate gradients and fast Fourier transforms, and the transmission performance was evaluated iteratively [21]. Chen proposed a dynamic model of a spiral bevel gear drive based on ERSFDs with a new mathematical model of ERSFDs and an oil film pressure calculation method, which has a better control performance of nonlinear characteristics in the speed range and can be extended to all rotating machines [22].…”

Section: Introductionmentioning

confidence: 99%

Noise Prediction Study of Traction Arc Tooth Cylindrical Gears for New Generation High-Speed Electric Multiple Units

Tang,

Chen,

Sun

et al. 2023

Lubricants

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As the speed of the new generation of high-speed electric multiple units (EMU) increases, the requirements for vibration and noise reduction in traction gear trains are becoming higher and higher. Although most researchers have focused on the vibration mechanics analysis of gears, the actual noise has the most direct impact on passenger experience and safety. To address this problem, a new type of curved cylindrical gear is proposed to analyze the dynamic characteristics of the gear pair and predict its radiated noise based on the acoustic-vibration coupling theory using the finite element-boundary element method. Parametric modeling of the gear pair using CREO and assembly motion analysis were performed. ANSYS was used to analyze the stress distribution, inherent frequency, and inherent vibration pattern of the gear pair, and harmonic response analysis was performed using the modal superposition method to solve the displacement frequency response curve and vibration characteristics. ACTRAN was used to construct the free-field model, create acoustic excitation based on the acoustic-vibration coupling equation, set the field points, and predict radiated noise. The research results show that the noise is mainly concentrated in the tooth meshing area, and the root mean square RMS range of its sound pressure level value is 91–100 dB. Its dynamic characteristics and noise values are in line with the traction requirements of high-speed EMU, providing a new idea for improving the noise prediction of traction gears for new generation high-speed EMU, which in turn strongly support the noise control of high-speed EMU stock and thus improve the passenger experience and driving environment.

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Section: Introductionmentioning

confidence: 99%

Noise Prediction Study of Traction Arc Tooth Cylindrical Gears for New Generation High-Speed Electric Multiple Units

Tang,

Chen,

Sun

et al. 2023

Lubricants

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“…Many experts and scholars have conducted in-depth research on the MPA methods of spiral bevel gear from different perspectives. Zhou, Ding, Cao, Hu, Li and Lu et al [2][3][4][5][6][7] accurately solved flank contact pattern and transmission error curve by proposing an improved method for MPA of spiral bevel gear. Wang and Chu et al [8,9] proposed a simplified MPA method, and verified the correctness of the method by experiment.…”

Section: Introductionmentioning

confidence: 99%

An analytical method for the meshing performance of deviation surface of spiral bevel gear based on a one-dimensional probe

Li,

Dai,

Zhang

et al. 2023

Meas. Sci. Technol.

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The meshing performance is a significant indicator for evaluating the machining quality of spiral bevel gear. The flank contact accuracy (FCA) and flank geometric accuracy (FGA) are important aspects of meshing performance, and both are indispensable. In the actual production process, due to the lack of professional meshing performance analysis (MPA) software, the flank geometric structure cannot be reflected based on the FCA, and the actual meshing state cannot be reflected by the FGA, which cannot meet the manufacturing requirements of high-quality gear. Therefore, a MPA method for deviation surface of spiral bevel gear is proposed based on the gear measuring center (GMC) using a one-dimensional probe. By constructing the deviation surface, the flank meshing model is established, and the meshing parameters are determined. Aiming at the complexity of solving the meshing model, a method for decreasing the dimension of the meshing equations is proposed by establishing the mathematical relationship between the rotation angle and the normal vector, which improves the solution accuracy of the meshing point. The intersection points of the adjacent transmission error curves are taken as the meshing in and out points, and then the actual position of the contact pattern is accurately determined. The instantaneous contact ellipse is obtained by using the method of a cylindrical surface intercepting the deviation surfaces, which not only simplifies the solution algorithm, but also obtains the contact pattern more in line with the actual situation. Finally, the transmission error and contact pattern are digitally characterized. The experimental results show that the digital and actual patterns have good consistency. Flank geometry and gear meshing are organically linked based on the proposed method, and the actual meshing state can be predicted according to the flank topology deviation, which provides important theoretical support for the improvement of the machining quality and meshing performance of the spiral bevel gear.

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