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Low Cycle Fatigue Life Prediction Using Unified Mechanics Theory in Ti-6Al-4V Alloys

Fatigue in any material is a result of continuous irreversible degradation process. Traditionally, fatigue life is predicted by extrapolating experimentally curve fitted empirical models. In the current study, unified mechanics theory is used to predict life of Ti-6Al-4V under monotonic tensile, com...

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Autores principales: Bin Jamal M, Noushad, Kumar, Aman, Lakshmana Rao, Chebolu, Basaran, Cemal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516445/
https://www.ncbi.nlm.nih.gov/pubmed/33285799
http://dx.doi.org/10.3390/e22010024
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author Bin Jamal M, Noushad
Kumar, Aman
Lakshmana Rao, Chebolu
Basaran, Cemal
author_facet Bin Jamal M, Noushad
Kumar, Aman
Lakshmana Rao, Chebolu
Basaran, Cemal
author_sort Bin Jamal M, Noushad
collection PubMed
description Fatigue in any material is a result of continuous irreversible degradation process. Traditionally, fatigue life is predicted by extrapolating experimentally curve fitted empirical models. In the current study, unified mechanics theory is used to predict life of Ti-6Al-4V under monotonic tensile, compressive and cyclic load conditions. The unified mechanics theory is used to derive a constitutive model for fatigue life prediction using a three-dimensional computational model. The proposed analytical and computational models have been used to predict the low cycle fatigue life of Ti-6Al-4V alloys. It is shown that the unified mechanics theory can be used to predict fatigue life of Ti-6Al-4V alloys by using simple predictive models that are based on fundamental equation of the material, which is based on thermodynamics associated with degradation of materials.
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spelling pubmed-75164452020-11-09 Low Cycle Fatigue Life Prediction Using Unified Mechanics Theory in Ti-6Al-4V Alloys Bin Jamal M, Noushad Kumar, Aman Lakshmana Rao, Chebolu Basaran, Cemal Entropy (Basel) Article Fatigue in any material is a result of continuous irreversible degradation process. Traditionally, fatigue life is predicted by extrapolating experimentally curve fitted empirical models. In the current study, unified mechanics theory is used to predict life of Ti-6Al-4V under monotonic tensile, compressive and cyclic load conditions. The unified mechanics theory is used to derive a constitutive model for fatigue life prediction using a three-dimensional computational model. The proposed analytical and computational models have been used to predict the low cycle fatigue life of Ti-6Al-4V alloys. It is shown that the unified mechanics theory can be used to predict fatigue life of Ti-6Al-4V alloys by using simple predictive models that are based on fundamental equation of the material, which is based on thermodynamics associated with degradation of materials. MDPI 2019-12-23 /pmc/articles/PMC7516445/ /pubmed/33285799 http://dx.doi.org/10.3390/e22010024 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bin Jamal M, Noushad
Kumar, Aman
Lakshmana Rao, Chebolu
Basaran, Cemal
Low Cycle Fatigue Life Prediction Using Unified Mechanics Theory in Ti-6Al-4V Alloys
title Low Cycle Fatigue Life Prediction Using Unified Mechanics Theory in Ti-6Al-4V Alloys
title_full Low Cycle Fatigue Life Prediction Using Unified Mechanics Theory in Ti-6Al-4V Alloys
title_fullStr Low Cycle Fatigue Life Prediction Using Unified Mechanics Theory in Ti-6Al-4V Alloys
title_full_unstemmed Low Cycle Fatigue Life Prediction Using Unified Mechanics Theory in Ti-6Al-4V Alloys
title_short Low Cycle Fatigue Life Prediction Using Unified Mechanics Theory in Ti-6Al-4V Alloys
title_sort low cycle fatigue life prediction using unified mechanics theory in ti-6al-4v alloys
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516445/
https://www.ncbi.nlm.nih.gov/pubmed/33285799
http://dx.doi.org/10.3390/e22010024
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