Contact fatigue life prediction of a bevel gear under spectrum loading

Jia, Peng; Liu, Huaiju; Zhu, Caichao; Wu, Wei; Lü, Guocheng

doi:10.1007/s11465-019-0556-8

Cited by 14 publications

(11 citation statements)

References 32 publications

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“…The load spectrum is the statistical representation of the random load, which is the basis of structural fatigue design, fracture analysis, and testing [9,10]. The failure of gear mainly comes from the loading of cyclic stress.…”

Section: Compilation Of Gear Stress Spectrummentioning

confidence: 99%

Flexible gear modeling and stress spectrum compilation of an artillery steering machine

Fang

Yang

2023

J. Phys.: Conf. Ser.

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To solve the load data lack problems when researching the fatigue life prediction of artillery steering machines, the flexible body model of an artillery steering gear was established using the recurdyn/fflex, based on the finite element flexible body theory. The complete artillery adjustment process of the steering gear was simulated and calculated, and the dynamic stress change of the gear under variable load conditions was obtained. Eight-level stress spectrum was compiled based on the rain flow counting method, which provides the load data basis for the subsequent reliability design and fatigue life research.

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Section: Compilation Of Gear Stress Spectrummentioning

confidence: 99%

Flexible gear modeling and stress spectrum compilation of an artillery steering machine

Fang

Yang

2023

J. Phys.: Conf. Ser.

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“…As one of the most popularly used lifetime degradation distribution models, the Weibull distribution has been widely studied in many real-world applications [43][44][45]. It is a versatile distribution with two parameter η and β that could fit the reasonable distribution in reliabilityengineering.…”

Section: Knowledge-based Degradation Modelmentioning

confidence: 99%

Predictive Maintenance for Remanufacturing Based on Hybrid-Driven Remaining Useful Life Prediction

et al. 2022

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Remanufacturing is an activity of the circular economy model whose purpose is to keep the high value of products and materials. As opposed to the currently employed linear economic model, remanufacturing targets the extension of products and reduces the unnecessary and wasteful use of resources. Remanufacturing, along with health status monitoring, constitutes a key element for lifetime extension and reuse of large industrial equipment. The major challenge is to determine if a machine is worth remanufacturing and when is the optimal time to perform remanufacturing. The present work proposes a new predictive maintenance framework for the remanufacturing process based on a combination of remaining useful life prediction and condition monitoring methods. A hybrid-driven approach was used to combine the advantages of the knowledge model and historical data. The proposed method has been verified on the realistic run-to-failure rolling bearing degradation dataset. The experimental results combined with visualization analysis have proven the effectiveness of the proposed method.

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“…Therefore, a multi-axial fatigue criterion is typically utilized to evaluate gear contact fatigue life. The modified Brown-Miller fatigue model considering the mean stress and the lubrication effect is used for contact fatigue life prediction (Jia et al, 2020;Liu et al, 2019):…”

Section: Fatigue Criterionmentioning

confidence: 99%

A comparative study of fatigue behavior between S-shaped and involute POM gears

Wei

Liu

et al. 2022

Journal of Computational Design and Engineering

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Applications of polymer gears have been gradually expanding from motion transmission to power transmission fields. Design of new gear teeth profiles plays a crucial role in meeting the requirement of replacing metallic gears with polymer ones. This work develops a computational framework consisting of tooth profile generation and fatigue life prediction of S-shaped and involute POM gears. The contact and bending fatigue performances of S-shaped and involute POM gears under oil lubrication are comparatively studied. It is found that the S-shaped profile reduces the tooth root stress by 25% and significantly improves the bending fatigue life by order of magnitude compared with the involute profile, especially under medium or high loading levels. Furthermore, the S-shaped gear with a single circular-filleted root curve benefits a 20% reduction of tooth root stress and a 30% increase in bending fatigue life compared to a double circular-filleted root curve S-shaped gear.

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Contact fatigue life prediction of a bevel gear under spectrum loading

Cited by 14 publications

References 32 publications

Flexible gear modeling and stress spectrum compilation of an artillery steering machine

Flexible gear modeling and stress spectrum compilation of an artillery steering machine

Predictive Maintenance for Remanufacturing Based on Hybrid-Driven Remaining Useful Life Prediction

A comparative study of fatigue behavior between S-shaped and involute POM gears

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