A model to predict initiation and propagation of micro-pitting on tooth flanks of spur gears

Xu, Xiangyang; Lai, J.; Lohmann, Christoph H.; Tenberge, Peter; Weibring, Max; Dong, Peng

doi:10.1016/j.ijfatigue.2019.01.004

Cited by 56 publications

(29 citation statements)

References 21 publications

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“…The characteristic frequencies of the axle bearings are obtained by the methods in Appendix 1. By using equations (21) studied. Geometrics of the studied errors are illustrated in Table 1.…”

Section: Resultsmentioning

confidence: 99%

“…Their dynamics models were employed to investigate the vibration features of the locomotive gear transmission system with the gear tooth root crack faults. 18,19 Xu et al 20,21 also studied the vibrations of the gear transmission system cause by the faults. Wang et al 22,23 introduced a comprehensive three-dimensional vehicle-track-coupled dynamics model considering the traction drive system and axle bearings.…”

Section: Introductionmentioning

confidence: 99%

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Vibration analysis of the axle bearings considering the combined errors for a high-speed train

Liu

2020

Proceedings of the Institution of Mechanical Engineers, Part K:

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Axle bearings are critical elements of high-speed trains. Although the quality and precision of axle bearings have been significantly improved, the manufacturing errors, such as the roundness and waviness errors, cannot be eliminated during their manufacturing processes. The axle bearings with the roundness and waviness errors have great influences on vibration performances of the high-speed trains. To obtain an in-depth understanding of the vibrations caused by the axle bearing with the combined errors considering both the roundness and waviness errors. This work conducts an improved analytical model for a high-speed train considering the axle bearings with the combined errors, which cannot be formulated by the previous train model considering single roundness or waviness errors. The combined errors are defined to include both the roundness and waviness errors. A new multiple cosine function is presented to model the combined errors. The time-depended force excitations produced by the combined errors are also considered in the dynamic model. A track irregularities model is utilized to formulate the road spectrum displacement excitations from the rail and roadbed. The influences of the error amplitude and order on the vibrations of high-speed train are analyzed. The results for the single roundness error model, single waviness error model, and combined errors model are compared to represent the superiority of proposed model. It depicts that this work can provide a more reasonable analytical method for understanding the vibrations of high-speed train considering the axle bearings with the combined manufacturing errors compared to the reported single error models.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Vibration analysis of the axle bearings considering the combined errors for a high-speed train

Liu

2020

Proceedings of the Institution of Mechanical Engineers, Part K:

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“…Non-monotonic alternation of stress states may lead to permanent changes in the structure of materials and is often the cause of the limited functionality of machines and engineering structures [1][2][3][4]. The mechanisms leading to fatigue failure of materials are complex and depend on many factors [5].…”

Section: Introductionmentioning

confidence: 99%

Application of Life-Dependent Material Parameters to Fatigue Life Prediction under Multiaxial and Non-Zero Mean Loading

2020

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This study presents the life-dependent material parameters concept as applied to several well-known fatigue models for the purpose of life prediction under multiaxial and non-zero mean loading. The necessity of replacing the fixed material parameters with life-dependent parameters is demonstrated. The aim of the research here is verification of the life-dependent material parameters concept when applied to multiaxial fatigue loading with non-zero mean stress. The verification is performed with new experimental fatigue test results on a 7075-T651 aluminium alloy and S355 steel subjected to multiaxial cyclic bending and torsion loading under stress ratios equal to R = −0.5 and 0.0, respectively. The received results exhibit the significant effect of the non-zero mean value of shear stress on the fatigue life of S355 steel. The prediction of fatigue life was improved when using the life-dependent material parameters compared to the fixed material parameters.

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“…In previous studies, a finite element (FE) method [1][2][3][4][5] and analytical method [6][7][8][9][10][11][12][13][14][15][16][17] are widely used to calculate the TVMS and TEs. Obviously, effects of manufacturing errors, assembling errors, and profile deviations can be observed by these two methods.…”

Section: Introductionmentioning

confidence: 99%

“…erefore, many analytical methods are proposed and its results show great agreements with the FE method. TEs can be classified into no-loaded static transmission error (NLSTE) and loaded static transmission error (LSTE) [3][4][5][6][7][8][9]. Taking no account of tooth deflections, the NLSTE represents the deviation between the actual and the theoretical perfect gear mesh positions.…”

Section: Introductionmentioning

confidence: 99%

Effect of Tooth Profile Modification on Dynamic Tooth Load of Planetary Gear Train

Zhou

et al. 2019

Shock and Vibration

Self Cite

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This paper aims at investigating the effects of tooth profile modification (TPM) on the dynamic response of planetary gear train (PGT). A numerical model is carried out to calculate two major excitation sources of PGT, time-varying mesh stiffness (TVMS), and transmission errors (TEs). On this basis, a linear time-varying dynamic model of a PGT considering TVMS, TEs, and TPM is developed. Dynamic deviation factor is further introduced to describe the dynamic response of the PGT. In this paper, TPM is only applied to the external meshes firstly. Effects of TPM parameters, such as amount of TPM, normalized modification angle, and modification curve, on the excitation sources and dynamic response of the PGT are discussed in detail. Subsequently, investigation on the effects of TPM only applied to internal meshes is conducted. Finally, with the aim to obtain the optimal TPM for the minimization of dynamic load of PGT in both external and internal gear meshes, the genetic algorithm (GA) is employed. This research may shed light upon design optimization of PGT with respect to improvement of vibration performance by means of optimized TPM.

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A model to predict initiation and propagation of micro-pitting on tooth flanks of spur gears

Cited by 56 publications

References 21 publications

Vibration analysis of the axle bearings considering the combined errors for a high-speed train

Vibration analysis of the axle bearings considering the combined errors for a high-speed train

Application of Life-Dependent Material Parameters to Fatigue Life Prediction under Multiaxial and Non-Zero Mean Loading

Effect of Tooth Profile Modification on Dynamic Tooth Load of Planetary Gear Train

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