Life and Reliability Modeling of Bevel Gear Reductions

Savage, M.; Brikmanis, C. K.; Lewicki, David G.; Coy, J. J.

doi:10.1115/1.3258925

Cited by 8 publications

(2 citation statements)

References 5 publications

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“…In recent decades, a large number of studies have been carried out on the failure probability of structural systems [8,10,23,31,36,39]. Many methods have been developed to identify major failure modes, such as (A) "probabilistic" methods, including branch and bound methods [16,19,29,40] and simulation-based techniques [9,12,24,27,32]; (B) "deterministic" methods, such as incremental loading method [20, 26, 28] b-unzipper method [31], mathematical programming based method [5] or heuristic technique [37,44]. Kim [17] proposed an effective method to identify dominant failure modes in random variable space, and then analysed the system reliability and calculated the failure probability of the system, and identified the dominant failure mode in the decreasing order of its contribution to the system failure probability.…”

Section: Introductionmentioning

confidence: 99%

Optimization method of bevel gear reliability based on genetic algorithm and discrete element

Sun¹,

Wang²,

Lu³

2019

Eksploatacja i Niezawodność – Maintenance and Reliability

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Gear transmission is the most basic transmission component in mechanical transmission system. Many scholars have done a lot of research on gear reliability. When the variation coefficient is used to calculate and optimize the reliability of bevel gear, in order to calculate the reliability of bevel gear, it is often assumed that the gear works under constant torque, that is, the coefficient of variation (COV) is zero, but this is not the case in practice. In this paper, a gear reliability method based on discrete element simulation is proposed. The purpose of this method is to simulate the actual working conditions of gears, calculate more accurate coefficient of variation in the real world, and improve the accuracy of gear reliability design. Firstly, the real working conditions of the bevel gear transmission are simulated by discrete element method (DEM), and in the transmission system, the tangential force COV of the bevel gear is proved to be equal to the torque COV of the crusher central shaft. Secondly, the multi-objective function model of the gear transmission system is established based on the double tooth roll crusher (DTRC). The optimal volume and reliability of the bevel gear transmission are taken as the objective function, and the teeth number, module and face width factor of basic parameters of gear are optimized by genetic algorithm (GA). Finally, the accuracy of the optimization results is verified by Monte Carlo method. The main purpose of the manuscript is to analyse the effect of actual conditions (DEM simulation) on the optimization results. The results show that the COV of nominal tangential load of bevel gear is about 0.65 under actual working conditions, so in order to guarantee the same reliability, total volume need to be increased by 34.4%. This method is similar to the selection of gear safety factor. In practical production, the selection of safety factor is often based on experience. This paper provides a new method to optimize the reliability of bevel gear, combining with DEM simulation, which provides theoretical guidance for optimal design of bevel gear.

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Section: Introductionmentioning

confidence: 99%

Optimization method of bevel gear reliability based on genetic algorithm and discrete element

Sun¹,

Wang²,

Lu³

2019

Eksploatacja i Niezawodność – Maintenance and Reliability

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“…As an important transmission device, the bevel gear transmission system contains a variety of failure modes. Although research literatures on bevel gear pair addressing design optimization and reliability can be found [3,19,21], there is still a need for more in-depth research on the joint failure modelling of the bevel gear transmission system.…”

Section: Introductionmentioning

confidence: 99%

The probabilistic analysis and optimal design of a bevel gear transmission system with failure interaction

Lü

Zhencai

2017

EiN

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Article citation info: IntroductionGenerally, multiple failure modes may occur in a gear transmission system. Due to the common-source of the input random variables of the system, such as the external loads, the geometric parameters and the material properties, the existing failure modes would be correlated to a certain extend [2,13]. From another perspective, it means that a failure may cause another failure occurs more rapidly, or just the opposite. Actually, whether the dependence of different failure modes is considered during the reliability design process may affect the system reliability estimation greatly. The commonly used independent assumption between failure modes usually leads to defects in gear HAO L, ZHENCAI Z. The probabilistic analysis and optimal design of a bevel gear transmission system with failure interaction. Eksploatacja i Niezawodnosc -Maintenance and Reliability 2017; 19 (2): 220-228, http://dx.doi.org/10.17531/ein.2017.2.9. Lu HAO Zhu ZHENCAIThe probabilisTic analysis and opTimal design of a bevel gear Transmission sysTem wiTh failure inTeracTion probabilisTyczna analiza i opTymalne projekTowanie układu przekładni sTożkowej z uwzględnieniem inTerakcji między uszkodzeniami

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Zuverlässigkeitsanalyse am Beispiel eines Getriebes

Zuverlässigkeit Im Fahrzeug- Und Maschinenbau

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Life and Reliability Modeling of Bevel Gear Reductions

Cited by 8 publications

References 5 publications

Optimization method of bevel gear reliability based on genetic algorithm and discrete element

Optimization method of bevel gear reliability based on genetic algorithm and discrete element

The probabilistic analysis and optimal design of a bevel gear transmission system with failure interaction

Zuverlässigkeitsanalyse am Beispiel eines Getriebes

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