Lifetime prediction for the subsurface crack propagation using three-dimensional dynamic FEA model

Yin, Yuan De; Chen, Yunxia; Liu, Le

doi:10.1016/j.ymssp.2016.09.033

Cited by 13 publications

(5 citation statements)

References 18 publications

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“…Moallem et al 27 introduced this load-sharing concept in gear pitting life estimation. Yin et al 61 developed a 3D dynamic finite element analysis model for gear pitting life prediction in ANSYS workbench. In this work, the plastic deformation of each element near the subsurface crack is used for subsurface crack propagation.…”

Section: Physics-based Approachesmentioning

confidence: 99%

“…The subsurface crack propagation under cyclic loading allows the material to break from its surface and results in pit formation. [60][61][62][63][64] Hence, the Paris power law equation (equation ( 2)) used for modeling the crack growth can also be utilized to estimate the propagation of the surface-breaking crack, which results in a pit formation. Blake and Cheng 64 used such a model for predicting the initiation of pitting.…”

Section: Physics-based Prognostic Approachesmentioning

confidence: 99%

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A review on diagnostic and prognostic approaches for gears

Kundu

Darpe

Kulkarni

2020

Structural Health Monitoring

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Prognostics and health management has become a significant part of component life-cycle in modern industries. The prognostics and health management framework is implemented in the industries to identify the fault type, assess fault severity, and predict the future state or remaining useful life to optimize the maintenance activities. Three significant aspects of a prognostics and health management framework are diagnostics, prognostics, and decision making. This article presents a review of different types of diagnostic and prognostic approaches (i.e. physics-based, data-driven, and hybrid approaches) developed for the gears. The flow of information between diagnostics and prognostics parts of the framework is briefly discussed. Regarding the physics-based approaches, this article discusses different physics-based diagnostic and prognostic models developed for different types of gear failure modes such as crack, pitting, and wear. In the data-driven approaches, the article attempts to summarize the data processing techniques used for extracting fault-related information from the recorded raw vibration signal, health indicators developed for different kinds of gear failure modes, processing/selection approaches for best health indicators, fault classification, and fault prognostic models particularly developed for the gear. The article discusses how a hybrid approach can be developed by the integration of a data-driven diagnostics approach and a physics-based prognostics approach. Finally, uncertainty quantification of prognostic approaches, performance evaluation metrics, decision-making strategies, and future research and development perspectives are discussed. This article focuses on the diagnostic and prognostic approaches developed for gears, given the fact that these approaches for other components such as bearing and batteries are reviewed in the past.

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Section: Physics-based Approachesmentioning

confidence: 99%

Section: Physics-based Prognostic Approachesmentioning

confidence: 99%

A review on diagnostic and prognostic approaches for gears

Kundu

Darpe

Kulkarni

2020

Structural Health Monitoring

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“…Meanwhile, varieties of studies were devoted to the relationship between the potential failure mode and dynamic characteristic. Yin et al 14 calculated the subsurface crack propagation through the three-dimensional FEA model with ANSYS Workbench transient analysis. Zhu et al 15 obtained vibration characteristics of gear-coupled multi-shaft rotor-bearing systems under unbalanced excitation.…”

Section: Introductionmentioning

confidence: 99%

Dynamic and gradual coupled reliability analysis of the transmission system of a shearer cutting arm

Zhu

Yuan

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part O:

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The strong impact and heavy load imposed on the transmission system of a shearer cutting arm is a potential cause of system variation and deterioration. And the overall equipment performance and output efficiency of a drum shearer cutting arm depends to a large degree on the reliability of the transmission system. Therefore, the current study proposes an innovative method for precise prediction of the reliability of the transmission system considering dynamic characteristic and performance degradation. Firstly, for the sake of quantifying the time-dependent reliability with deterioration parameters, a dynamic model of the geared rotor system is established based on the finite element method and the dynamic response is derived based on the main failure mode and the stochastic process model. Then the reliability and reliability sensitivity are estimated based on the probability perturbation theory and the fourth-order moment method. Finally, the proposed method is validated through a comparison to the canonical Monte Carlo Simulation method, which exhibits an average discrepancy of merely 3%. The present method serves as a theoretical guidance and applicable tool for both design and manufacture of coal shearers.

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“…Finite element method has been succesfully bio-composite analysis with natural fiber to determine optimal of fraction volume of fiber. This work conducted by Silva, L.J.S., 2012 [10], and life time prediction for the subsurface crack propogation [14]. In addition, the finite element method have been applied to simulation of natural fiber in several composite [13].…”

Section: Introductionmentioning

confidence: 99%

“…In addition, this method have been used widely in many application to material analysis of both mechanical and physical properties such as composite, metal, ceramic, and polymer materials. Mechanical properties of natural fiber not only investigation through simulation but also experiment [1,4,7,14].…”

Section: Introductionmentioning

confidence: 99%

Numerical analysis of Composite with Natural Fiber Reinforcement using Finite Element Method: Leaf Spring Composite Application

Kusmiran¹,

Hidayat²,

Desiasni³

et al. 2019

Proceedings of the 1st International Conference on Science and Technology, ICOST 2019, 2-3 May, Makassar, Indonesia

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Leaf spring is one of component that use to vibration damping on vehicle, where one of material that use to fabrication this component is 55Si7 steel. Currently, sustainable product is main focus in industry, so that composite is a potential alternative to replace steel as leaf spring. Materials that use to composite fabrication are sisal as fiber, epoxy as matrix, and honeycomb and alumunium alloy as core, where fabrication both 55Si7 steel and composite specimen are based on ASTM D638 standard. Fabrication of composite specimen conducted by hand lay-up technique, and mechanical properties analysis of thus specimen are conducted by finite element method. Tensile test is tested on 55Si7 steel and composite specimen using finite element method. According tensile test, steel of 55Si7 type have 2.92 mm of total deformation average, and 12583 MPa of strain, composite natural fiber with honeycomb core have 62.75 mm of total deformasi average, and 18590 MPa of stress, and composite natural fiber with aluminium alloy core have 15.47 mm of total deformasi average, and 12813 MPa of stress. According that results, composite with aluminium alloy core have the mechanical properties close to 55Si7 steel than composite honeycomb core.

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Lifetime prediction for the subsurface crack propagation using three-dimensional dynamic FEA model

Cited by 13 publications

References 18 publications

A review on diagnostic and prognostic approaches for gears

A review on diagnostic and prognostic approaches for gears

Dynamic and gradual coupled reliability analysis of the transmission system of a shearer cutting arm

Numerical analysis of Composite with Natural Fiber Reinforcement using Finite Element Method: Leaf Spring Composite Application

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