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mdpi.com
article
https://www.mdpi.com/2226-4310/12/11/1026
permission is required to reuse all or part of the article published by MDPI, including figures and tables. This study focuses on high-cycle fatigue (HCF) of aircraft landing gear (LG) components, covering material testing, full-scale component experiments, finite element (FE) modeling, life-prediction comparison, and probabilistic assessment. Based on the FKM guideline, this work developed an improved FKM local-stress approach (LSA) for HCF life prediction, which integrates load-dependent stress gradients, FKM mean stress correction, and interpolated surface-condition factors for S-N curve adjustment specific to the component’s surface treatment. Furthermore, by augmenting the experimental data and constructing p-S-N curves, the improved LSA was extended to predict fatigue life under different survival probabilities and confidence levels, providing a practical tool for reliability-based design. For the large passenger aircraft’s LG, it is required that the fatigue life of its main components be the same as that of the aircraft body (30 calendar years), with a service life generally between 40,000 and 75,000 landings, which is a regime characterized by high-cycle fatigue (HCF) [3,6].
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rdmotion.com
article
https://www.rdmotion.com/blog-fatigue-models.php
Fatigue failure is a critical concern in the field of structural engineering, specifically in components subjected to cyclic loading. Understanding and predicting the fatigue life of load-bearing components is essential for ensuring the safety and reliability of various structures, from bridges and aircraft to automotive components. Over the years, researchers and engineers have developed sophisticated models and methodologies to accurately forecast the fatigue life of materials under cyclic loading conditions. In this article, we will delve into the world of fatigue life prediction models, exploring various approaches and methodologies employed in structural and mechanical engineering. Before delving into prediction models, it's crucial to understand the concept of fatigue failure. This phenomenon is particularly significant in materials subjected to cyclic stresses, such as those experienced by components in machinery, vehicles, and infrastructure subjected to repeated loading and unloading cycles. The Paris Law is an empirical equation that relates the rate of crack growth to the stress intensity factor range.
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apps.dtic.mil
article
https://apps.dtic.mil/sti/tr/pdf/ADA165877.pdf
AD -Al l FATIGUE LIFE ANALYSIS OF A TURBOPROP REDUCTION GEARBOX ii (U) NATIONAL AERONAUTICS AND SPACE ADNINISTRATION CLEYELAND ON LE.. SUMMARY A fatigue life analysis of the reduction gearbox of a turboprop aircraft was developed. The Allison T56/501 gearbox, consisting of eleven rolling-element bearings and nine spur gears in the main power train, was used for the analysis. Using methods of probability and statistics, the life and reliabil- -' ity of the gearbox was evaluated based on the lives and reliabilities of its main power train bearings and gears. The analytical predictions of relative lives among the various bearings were in reasonable agreement with field data for both when the life adjustment factors were used and not used. The predicted gearbox life was in excellent agreement with field experience when the material life adjustment factors alone were used. The gearbox had -a lower predicted life in comparison with field experience when no life adjust-ment factors were used.
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researchgate.net
research
https://www.researchgate.net/publication/272022930_Fatigue_Life_Prediction_an…
principal strain and octahedral shear strain provide good predictions of the fatigue life. They also found that compared to traditional criterion of strain
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extrica.com
article
https://www.extrica.com/article/18327
In this paper, a hybrid approach based on the Paris law and particle filter is proposed to predict the residual gear fatigue life with prior
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sciencedirect.com
article
https://www.sciencedirect.com/science/article/abs/pii/S0141635925001710
This study introduces a co-simulation model incorporating the effects of hobbing axial and radial residual stresses (RS).
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gearsolutions.com
article
https://gearsolutions.com/features/estimating-gear-fatigue-life
### Calculating the hardenability of steels. ### Hardenability in Steels. Using the strength-life theory can help avoid gear fatigue failure, and the resulting disruption of whole manufacturing systems. The fatigue failure analysis based on stress-life method is especially useful for a wide range of gear design applications and represents high-cycle applications adequately. In particular, the steel for gears requires a great variety of tests to define the fatigue strength versus the number of load cycles. In theory, it is often accepted that the line in the case of stress cycles greater than 106 or 107 cycles behaves with slope zero and failure will not occur, no matter how great the number of cycles. The stress value corresponding with the point of inflection in the graph is declared fatigue limit or endurance limit. In general, safety factors must be established from a thorough analysis of the service experience with a particular application.
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scribd.com
article
https://www.scribd.com/document/638838825/ASM-vol19-Fatigue-Life-Prediction-o…
ASM vol19, Fatigue & Life Prediction of Gears - Free download as PDF File (.pdf) or read online for free.