Evaluation of Fatigue Life of Cylindrical Geared Wheels

Drewniak, J.; Rysiński, Jacek

doi:10.4028/www.scientific.net/ssp.199.93

Cited by 4 publications

(3 citation statements)

References 4 publications

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“…e gear elements, the gear wheels are the parts which are most frequently subjected e [4,10]. The damage could be of the following types: fatigue breakage or casual ( Fig.7a), scoring or wear ( Fig.…”

Section: Figure 2 Spectrogram With Exemplary Marked Periodical Inaccmentioning

confidence: 99%

“…Among the gear elements, the gear wheels are the parts which are most frequently subjected to damage [4,10]. The damage could be of the following types: fatigue breakage or casual breakage ( Utilisation of better and better materials for elements of, for example, gear wheels, allows for the diminishing of the mass and size of the gear.…”

Section: (Figure 6)mentioning

confidence: 99%

“…elastic, thermal, fatigue and cracking. Moreover the method of boundary elements can be applied for problems of corrosion, vibration, fluid mechanics, acoustics and some other problems [4][5].…”

Section: Influence Of Teeth Maufacturing Deviations On the Operation mentioning

confidence: 99%

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Influence of Teeth Manufacturing Tolerances of Cylindrical Geared Wheels on GearOperating Characteristics Based on Spinner Stretching Apparatus

Rysiński

Drobina

Praszkiewicz

2017

Fibres and Textiles in Eastern Europe

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In the paper, issues related to the errors and inaccuracies resulting from improper operation of the drive system of the stretching apparatus of a ring spinner are discussed. The aim of the paper was an analysis of a design solution for the driving system of a ring spinner and its operating behaviour influencing the quality parameters of the fiber jet. In the paper, modelling of the involute teeth shape by means of a BEASY package was done. Based on the model prepared, an assessment of the sensivity of geometrical teeth outline on particular dynamical quantities for the gear of the stretching apparatus was performed. An improvement in the parameters of operating of the spinner can be achieved via changing of the design characteristics of elements of the driving system; in particular, modification of the teeth shape was considered. Within the scope of the work, numerical analyses of the meshing geared wheels were conducted taking into consideration the unevenness of operating of the drive system as well as load distribution acting along the line of action. In the paper, the boundary element method was utilised for evaluation of the load distribution in relation to spectral analysis connected with the unevenness of the fibers’ jet mass.

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Section: Figure 2 Spectrogram With Exemplary Marked Periodical Inaccmentioning

confidence: 99%

Section: (Figure 6)mentioning

confidence: 99%

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Influence of Teeth Manufacturing Tolerances of Cylindrical Geared Wheels on GearOperating Characteristics Based on Spinner Stretching Apparatus

Rysiński

Drobina

Praszkiewicz

2017

Fibres and Textiles in Eastern Europe

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Digital Twin-Driven Remaining Useful Life Prediction for Gear Performance Degradation: A Review

Liu

Dong

2021

Journal of Computing and Information Science in Engineering

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As a transmission component, the gear has been obtained widespread attention. The remaining useful life (RUL) prediction of gear is critical to the prognostics health management (PHM) of gear transmission systems. The digital twin (DT) provides support for gear RUL prediction with the advantages of rich health information data and accurate health indicators (HI). This paper reviews digital twin-driven RUL prediction methods for gear performance degradation, from the view of digital twin-driven physical model-based and virtual model-based prediction method. From the view of physical model-based one, it includes prediction model based on gear crack, gear fatigue, gear surface scratch, gear tooth breakage, and gear permanent deformation. From the view of digital twin-driven virtual model-based one, it includes non-deep learning methods, and deep learning methods. Non-deep learning methods include wiener process, gamma process, hidden Markov model (HMM), regression-based model, proportional hazard model. Deep learning methods include deep neural networks (DNN), deep belief networks (DBN), convolutional neural networks (CNN), and recurrent neural networks (RNN), etc. It mainly summarizes the performance degradation and life test of various models in gear, and evaluates the advantages and disadvantages of various methods. In addition, it encourages future works.

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Kinetics of Fatigue Crack Propagation at the Tooth Root of a Cylindrical Gear Wheel

Drewniak

Rysiński

2015

SSP

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The present paper proposes an analytical method for determining the course (path) of crack propagation. A fatigue crack arises at the tooth root of a cylindrical geared wheel due to loading connected with gear work conditions. The cracking model was built using the adequate NASGRO2/3 formula; moreover, for comparison purposes, Forman and Paris-Erdogan’s laws were utilized. The length of an increase (propagation) in the crack was directly calculated by means of the boundary element method.

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Evaluation of Fatigue Life of Cylindrical Geared Wheels

Cited by 4 publications

References 4 publications

Influence of Teeth Manufacturing Tolerances of Cylindrical Geared Wheels on GearOperating Characteristics Based on Spinner Stretching Apparatus

Influence of Teeth Manufacturing Tolerances of Cylindrical Geared Wheels on GearOperating Characteristics Based on Spinner Stretching Apparatus

Digital Twin-Driven Remaining Useful Life Prediction for Gear Performance Degradation: A Review

Kinetics of Fatigue Crack Propagation at the Tooth Root of a Cylindrical Gear Wheel

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