Fatigue Crack Propagation: Analysis of Safe Life Extension

A special issue of Metals (ISSN 2075-4701). This special issue belongs to the section "Metal Failure Analysis".

Deadline for manuscript submissions: closed (31 October 2022) | Viewed by 2463

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Department of Biomedical, Industrial and Human Factors Engineering, Orthopaedic Surgery, Sports Medicine and Rehabilitation, Wright State University, 3640 Colonel Glenn Hwy, Dayton, OH 45435, USA
Interests: application of biomaterials; biomechanics; wear and fatigue related research in medical devices; mathematical modeling
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Special Issue Information

Dear Colleagues,

This Special Issue of Metals, titled Fatigue Crack Propagation: Analysis of Safe Life Extension, is applicable to high-energy rotating disk components, pipelines, and/or other components operating under complex service conditions. Most components age upon utilization; therefore, there is a need to understand more fully the physics of ageing by testing representative components and modeling that behavior to be utilized in life extension analysis. The Special Issue will explore data generated on the components exposed to service conditions (aged materials) for one safe life or retired from service, thereafter used in the analysis to extend life if proven safe. The representative residual static and fatigue crack propagation behavior of high-performance materials used in aerospace, power, chemical plants, and other industries will be key in assessing life extension. New empirical models developed and used in the simulations to extend the safe initial life assume the given defect distribution, fretting, and corrosion damage, as well as damage developing from utilization in terms of scratches. Additional damage due to manufacturing and inspection will be added to estimate crack propagation and allowable risks. Risk assessment tools will be investigated to extend these components through additional one-safe life as economical benefits would be more significant than replacing the components and/or plants. The papers presented in this Special Issue give an account of the state of the art technology development. Your contribution to this issue will be highly valuable and appreciated and will define the future methods to be developed and used globally on this research.

Prof. Dr. Tarun Goswami
Guest Editor

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Keywords

  • residual properties
  • high performance alloys
  • ageing effects
  • fatigue crack propagation
  • microstructure of aged materials
  • failure modes
  • modeling crack growth rates
  • fcg in weldments
  • irraditation effect
  • prediction of fatigue crack
  • design and development with aged data
  • fatigue testing and standards
  • failure analysis

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Published Papers (1 paper)

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Research

18 pages, 5995 KiB  
Article
Probabilistic Risk Assessment for Life Extension of Turbine Engine Rotors
by Jace A. Carter and Tarun Goswami
Metals 2022, 12(8), 1269; https://doi.org/10.3390/met12081269 - 28 Jul 2022
Viewed by 2015
Abstract
Maintaining the component service life beyond its historical limits requires the ability to accurately quantify component reliability and address the uncertainties in material responses. A probabilistic method for predicting the total fatigue life was developed and applied to determine the probability of failure [...] Read more.
Maintaining the component service life beyond its historical limits requires the ability to accurately quantify component reliability and address the uncertainties in material responses. A probabilistic method for predicting the total fatigue life was developed and applied to determine the probability of failure of a Ti-6Al-4V turbine disk component. The total fatigue life incorporates a dual mechanism approach including the crack initiation life and propagation life while simultaneously determining the associated initial flaw sizes. A microstructure-based model was employed to address the uncertainties in material response and relate the crack initiation life with crack size. The propagation life was characterized using both small and large crack growth models to ensure accurate fatigue life prediction. Fatigue life predictions were found to correlate with experimental data at high stress levels. The risk assessment can be used to estimate the expected initial crack sizes from variability in material properties, which can further be used to establish an enhanced inspection planning. Full article
(This article belongs to the Special Issue Fatigue Crack Propagation: Analysis of Safe Life Extension)
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