A Detailed Investigation of Gear Body-Induced Tooth Deflections and Development of an Improved Analytical Solution

Zhang, Hongsheng; Pan, Jing; Rao, Meng; Liang, Xihui

doi:10.3390/app10072292

Cited by 4 publications

(3 citation statements)

References 25 publications

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“…Unfortunately, both of them ignored an important parameter-the gear's friction in their literatures. Furthermore, Zhang H [13] and Prabhu Sekar R [14] conducted a detailed investigation of gear body-induced tooth deflections which included the gear's fillet-foundation deformation through the finite element analysis and the results showed good agreement with experimental data. The lubrication conditions were emphatically considered in gear wear characteristics research [15][16][17][18] .…”

Section: Introductionmentioning

confidence: 98%

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Vibration Characteristics of Spur Gear Under Tooth Fatigue Wear

Tian¹,

Tao²,

Hu³

et al. 2021

Preprint

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Tooth surface wear is one of the most common faults of gearboxes which increases the fatigue load on the gearbox and endangers its stable output characteristics and service life. Gear meshing characteristics vary significantly with the wear location and severity. Thus, the wear fault model considering tooth profile deviation, friction and time varying mesh stiffness (TVMS) was established in order to quantitatively study the vibration characteristics of tooth fatigue wear (TFW). Tooth profile modification and friction coefficient coupling were applied to characterize TFW, and the maximum wear depth was introduced to characterize TFW severity. The gear-pair simulation models under multiple wear severities were established and imported to a single-stage parallel gearbox whose dynamic differential equation was established under multiple torque conditions. The dynamic simulation results showed good agreement with the experimental data, which validated the method’s effectiveness. The vibration characteristics under different wear severities and simulation conditions were then obtained and compared.

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Section: Introductionmentioning

confidence: 98%

“…Fig 13. Torsional Vibration Analysis in Time/Frequency-domain under 40% Rated Torque…”

mentioning

confidence: 99%

Vibration Characteristics of Spur Gear Under Tooth Fatigue Wear

Tian¹,

Tao²,

Hu³

et al. 2021

Preprint

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“…Sainsot et al 21 presented an improved formula by using Muskhelishvili theory in the formula for gear foundation stiffness suggested by Weber 13 and Cornell. 14 Zhang et al 22 showed more improved results by modifying the coefficients suggested by Sainsot et al 21 through a detailed FEM.…”

Section: Introductionmentioning

confidence: 99%

An efficient process for macro geometry optimization of helical gear pairs considering static transmission error

Kim

Lee

Moon

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part C:

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Loaded tooth contact analysis (LTCA) adopted to obtain the static transmission error for the gear optimization affects significantly the computation time and results. This paper is to study an efficient process of macro geometry optimization of helical gear pairs with LTCA. An analytical LTCA model was proposed and verified with the measured transmission error. To find an efficient LTCA method, the proposed model was divided into three types (based on whether the slice stiffness and extended contact were included) by adjusting the fidelity. When extended contact was included in LTCA, the increased computation time was very short, but the accuracy of the results improved significantly. Optimization processes were designed based on the analysis results, and it was most efficient when starting with the model considering only the extended contact and ending 5%−10% of the entire generation with the highest fidelity model. In the process, the computational effort was significantly reduced compared to when the optimization process was configured with only the highest fidelity model, and the level of optimization was almost equal.

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