Fatigue of gears in the finite life regime — Experiments and probabilistic modelling

Olsson, Erik; Olander, Anton; Öberg, Martin

doi:10.1016/j.engfailanal.2016.01.012

Cited by 21 publications

(9 citation statements)

References 16 publications

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“…The reference area is calculated as A common choice of effective stress is based on the largest principal stress σ 1 (x, t) which varies with time t. During the complete load cycle, the principal stress attains a maximum σ max 1 (x) and a minimum σ min 1 (x). The effective stress can be evaluated as [41] s…”

Section: Multiaxial Considerationsmentioning

confidence: 99%

Digital Scanning of Welds and Influence of Sampling Resolution on the Predicted Fatigue Performance: Modelling, Experiment and Simulation

Hultgren

Myrén

Barsoum

et al. 2021

Metals

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Digital weld quality assurance systems are increasingly used to capture local geometrical variations that can be detrimental for the fatigue strength of welded components. In this study, a method is proposed to determine the required scanning sampling resolution for proper fatigue assessment. Based on FE analysis of laser-scanned welded joints, fatigue failure probabilities are computed using a Weakest-link fatigue model with experimentally determined parameters. By down-sampling of the scanning data in the FE simulations, it is shown that the uncertainty and error in the fatigue failure probability prediction increases with decreased sampling resolution. The required sampling resolution is thereafter determined by setting an allowable error in the predicted failure probability. A sampling resolution of 200 to 250 μm has been shown to be adequate for the fatigue-loaded welded joints investigated in the current study. The resolution requirements can be directly incorporated in production for continuous quality assurance of welded structures. The proposed probabilistic model used to derive the resolution requirement accurately captures the experimental fatigue strength distribution, with a correlation coefficient of 0.9 between model and experimental failure probabilities. This work therefore brings novelty by deriving sampling resolution requirements based on the influence of stochastic topographical variations on the fatigue strength distribution.

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Section: Multiaxial Considerationsmentioning

confidence: 99%

Digital Scanning of Welds and Influence of Sampling Resolution on the Predicted Fatigue Performance: Modelling, Experiment and Simulation

Hultgren

Myrén

Barsoum

et al. 2021

Metals

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“…Among the design approaches the most notable is “Infinite-life design” [ 2 ] which keeps all stresses below the limits of fatigue effects. This approach is used where safety and/or long life are more important than space and weight limitations.…”

Section: Introductionmentioning

confidence: 99%

Impact of Ball Burnished Regular Reliefs on Fatigue Life of AISI 304 and 316L Austenitic Stainless Steels

et al. 2021

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The present work describes an experimental investigation of the fatigue durability of AISI 304 and AISI 316L austenitic stainless steels, which have regular reliefs (RR) of the IV-th type, formed by ball burnishing (BB) on flat surfaces, using a computer numerical control (CNC) milling center. The methodology and the equipment used for obtaining regular reliefs, along with a vibration-induced fatigue test setup, are presented and described. The results from the BB process and the fatigue life experiments of the tested austenitic stainless steels are gathered, using the approach of factorial design experiments. It was found that the presence of RR of the IV-th type do not worsen the fatigue strength of the studied steels. The Pareto, t-test and Bayesian rule techniques are used to determine the main effects and the interactions of significance between ball burnishing regime parameters. A stochastic model is derived and is used to find when the probability of obtaining the maximum fatigue life of parts made of AISI 304 or 316L reaches its maximum value. It was found that when the deforming force, the amplitude of the sinewaves and their wavenumber are set at high values, and the feed rate is set at its low value, the probability to reach maximum fatigue life for the parts made of AISI 304 or 316L is equal to 97%.

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“…This model establishes a quantitative relation between the magnitude of fatigue wear friction, load and lubrication. Numerous researchers studied wear prediction using gear and tool models which were used to aid an accurate assessment of gear wear [5][6][7][8]. Extensive research in the field of gearbox damage resulted in the DIN 3990 standard (part 5).…”

Section: Introductionmentioning

confidence: 99%

Assessment of Probability of Gear Tooth Side Wear of a Planetary Gearbox

Živković

Ognjanović²,

Čamagić

et al. 2020

Teh. vjesn

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Gear tooth side wear in planetary gearboxes represents one of the main reasons for damage occurring in these gears. Wear magnitude is unpredictable and depends on temperature, lubrication, load, material and other random variables. Wear is a non-stationary process which is impossible to describe using a mathematical model, or to accurately assess its intensity, magnitude and distribution along the tooth sides. This paper suggests a probability assessment model for gear tooth side wear, based on experimental tests and a statistical representation of obtained results. Experimental tests of planetary gearbox gears were performed within a closed power circuit, using a previously prepared testing table, and the results of wear probability distribution were analysed. Wear probability distribution was represented using the Weibull distribution model. Obtained results of this statistical analysis have shown good compliance with the experimental ones, hence this model is applicable to all gearboxes. This method represents a considerable contribution to wear probability distribution assessment and can be used in order to assess the work life and elementary reliability of gears.

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Fatigue of gears in the finite life regime — Experiments and probabilistic modelling

Cited by 21 publications

References 16 publications

Digital Scanning of Welds and Influence of Sampling Resolution on the Predicted Fatigue Performance: Modelling, Experiment and Simulation

Digital Scanning of Welds and Influence of Sampling Resolution on the Predicted Fatigue Performance: Modelling, Experiment and Simulation

Impact of Ball Burnished Regular Reliefs on Fatigue Life of AISI 304 and 316L Austenitic Stainless Steels

Assessment of Probability of Gear Tooth Side Wear of a Planetary Gearbox

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