Consideration of Moving Tooth Load in Gear Crack Propagation Predictions

Lewicki, David G.; Spievak, Lisa E.; Wawrzynek, Paul A.; Ingraffea, Anthony R.; Handschuh, Robert F.

doi:10.1115/detc2000/ptg-14386

Cited by 6 publications

(3 citation statements)

References 6 publications

(6 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These works are further extended for a more comprehensive analysis of gear fatigue crack propagation. For example, Lewicki et al 52 considered the effect of moving gear tooth load for the prediction of crack propagation. Podrug et al 43 considered the effect of gear rim thickness, crack closure, and change in forces during rotation while the prediction of gear tooth cracks propagation life.…”

Section: Physics-based Approachesmentioning

confidence: 99%

A review on diagnostic and prognostic approaches for gears

Kundu

Darpe

Kulkarni

2020

Structural Health Monitoring

View full text Add to dashboard Cite

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.

show abstract

Section: Physics-based Approachesmentioning

confidence: 99%

A review on diagnostic and prognostic approaches for gears

Kundu

Darpe

Kulkarni

2020

Structural Health Monitoring

View full text Add to dashboard Cite

show abstract

“…In the last decades, different studies from the literature have increased their attention to the influence of notch shapes on the global fracturing response of composite specimens [31,[59][60][61][62][63][64][65][66][67][68][69][70][71][72], while applying incremental methods and advanced computational methods to follow multi-directional fractures [31,59,[61][62][63][64][65]68,71]. As far as OPA-based materials is concerned, the recent work by Dimitri et al [31] applied the XFEM as computational approach to model semi-circular bending (SCB) tests, compared to the experimental evidences by Barpi et al [36] and Valente et al [37].…”

Section: Introductionmentioning

confidence: 99%

Theoretical and computational investigation of the fracturing behavior of anisotropic geomaterials

Dimitri

Rinaldi

Trullo

et al. 2022

Continuum Mech. Thermodyn.

View full text Add to dashboard Cite

The fracturing process in geomaterials is studied to characterize a potential host rock for radioactive waste, such as the kaolinite-rich Opalinus Clay formation. Because of its sedimentary genesis, this rock can be considered as a transversely isotropic geomaterial. A semi-circular bending test is here modeled based on the eXtended Finite Element Method (XFEM), to check for the formation and propagation of cracks in the rock, with a particular focus on the effect of notch dimensions and scale effects on the fracturing response of the specimen in terms of peak load. Starting with the XFEM-based results, a novel analytical formulation is also proposed to approximate the response of the material in terms of load-crack mouth opening displacement. The proposed formulation is also capable to provide a reliable estimate of the peak value and time history response, compared to some experimental predictions from literature, starting from a predefined value of initial notch depth, which could represent a useful theoretical tool for design purposes.

show abstract

“…Significant research has been devoted to health and usage monitoring systems (HUMS) for drive systems as researchers have attempted to develop qualitative and quantitative helicopter gear fault detection methods [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. Typical research methods reference a current observation to a previous measurement taken at a known state (often undamaged) while employing signal processing and statistical algorithms to detect deviations that correlate to damage.…”

Section: Introductionmentioning

confidence: 99%

Vibration Based Sun Gear Damage Detection

Hood

LaBerge

Lewicki

et al. 2013

Volume 5: 25th International Conference on Design Theory and Methodology; ASME 2013 Power Transmission and Gearing Conference

View full text Add to dashboard Cite

Seeded fault experiments were conducted on the planetary stage of an OH-58C helicopter transmission. Two vibration based methods are discussed that isolate the dynamics of the sun gear from that of the planet gears, bearings, input spiral bevel stage, and other components in and around the gearbox. Three damaged sun gears: two spalled and one cracked, serve as the focus of this current work. A non-sequential vibration separation algorithm was developed and the resulting signals analyzed. The second method uses only the time synchronously averaged data but takes advantage of the signal/source mapping required for vibration separation. Both algorithms were successful in identifying the spall damage. Sun gear damage was confirmed by the presence of sun mesh groups. The sun tooth crack condition was inconclusive.

show abstract

Consideration of Moving Tooth Load in Gear Crack Propagation Predictions

Cited by 6 publications

References 6 publications

A review on diagnostic and prognostic approaches for gears

A review on diagnostic and prognostic approaches for gears

Theoretical and computational investigation of the fracturing behavior of anisotropic geomaterials

Vibration Based Sun Gear Damage Detection

Contact Info

Product

Resources

About