Cargando…
Predicting dwell fatigue life in titanium alloys using modelling and experiment
Fatigue is a difficult multi-scale modelling problem nucleating from localised plasticity at the scale of dislocations and microstructure with significant engineering safety implications. Cold dwell fatigue is a phenomenon in titanium where stress holds at moderate temperatures lead to substantial r...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7672227/ https://www.ncbi.nlm.nih.gov/pubmed/33203830 http://dx.doi.org/10.1038/s41467-020-19470-w |
_version_ | 1783611087559589888 |
---|---|
author | Xu, Yilun Joseph, Sudha Karamched, Phani Fox, Kate Rugg, David Dunne, Fionn P. E. Dye, David |
author_facet | Xu, Yilun Joseph, Sudha Karamched, Phani Fox, Kate Rugg, David Dunne, Fionn P. E. Dye, David |
author_sort | Xu, Yilun |
collection | PubMed |
description | Fatigue is a difficult multi-scale modelling problem nucleating from localised plasticity at the scale of dislocations and microstructure with significant engineering safety implications. Cold dwell fatigue is a phenomenon in titanium where stress holds at moderate temperatures lead to substantial reductions in cyclic life, and has been implicated in service failures. Using discrete dislocation plasticity modelling complemented by transmission electron microscopy, we successfully predict lifetimes for ‘worst case’ microstructures representative of jet engine spin tests. Fatigue loading above a threshold stress is found to produce slip in soft grains, leading to strong dislocation pile-ups at boundaries with hard grains. Pile-up stresses generated are high enough to nucleate hard grain basal dislocations, as observed experimentally. Reduction of applied cyclic load alongside a temperature excursion during the cycle lead to much lower densities of prism dislocations in soft grains and, sometimes, the elimination of basal dislocations in hard grains altogether. |
format | Online Article Text |
id | pubmed-7672227 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-76722272020-11-24 Predicting dwell fatigue life in titanium alloys using modelling and experiment Xu, Yilun Joseph, Sudha Karamched, Phani Fox, Kate Rugg, David Dunne, Fionn P. E. Dye, David Nat Commun Article Fatigue is a difficult multi-scale modelling problem nucleating from localised plasticity at the scale of dislocations and microstructure with significant engineering safety implications. Cold dwell fatigue is a phenomenon in titanium where stress holds at moderate temperatures lead to substantial reductions in cyclic life, and has been implicated in service failures. Using discrete dislocation plasticity modelling complemented by transmission electron microscopy, we successfully predict lifetimes for ‘worst case’ microstructures representative of jet engine spin tests. Fatigue loading above a threshold stress is found to produce slip in soft grains, leading to strong dislocation pile-ups at boundaries with hard grains. Pile-up stresses generated are high enough to nucleate hard grain basal dislocations, as observed experimentally. Reduction of applied cyclic load alongside a temperature excursion during the cycle lead to much lower densities of prism dislocations in soft grains and, sometimes, the elimination of basal dislocations in hard grains altogether. Nature Publishing Group UK 2020-11-17 /pmc/articles/PMC7672227/ /pubmed/33203830 http://dx.doi.org/10.1038/s41467-020-19470-w Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Xu, Yilun Joseph, Sudha Karamched, Phani Fox, Kate Rugg, David Dunne, Fionn P. E. Dye, David Predicting dwell fatigue life in titanium alloys using modelling and experiment |
title | Predicting dwell fatigue life in titanium alloys using modelling and experiment |
title_full | Predicting dwell fatigue life in titanium alloys using modelling and experiment |
title_fullStr | Predicting dwell fatigue life in titanium alloys using modelling and experiment |
title_full_unstemmed | Predicting dwell fatigue life in titanium alloys using modelling and experiment |
title_short | Predicting dwell fatigue life in titanium alloys using modelling and experiment |
title_sort | predicting dwell fatigue life in titanium alloys using modelling and experiment |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7672227/ https://www.ncbi.nlm.nih.gov/pubmed/33203830 http://dx.doi.org/10.1038/s41467-020-19470-w |
work_keys_str_mv | AT xuyilun predictingdwellfatiguelifeintitaniumalloysusingmodellingandexperiment AT josephsudha predictingdwellfatiguelifeintitaniumalloysusingmodellingandexperiment AT karamchedphani predictingdwellfatiguelifeintitaniumalloysusingmodellingandexperiment AT foxkate predictingdwellfatiguelifeintitaniumalloysusingmodellingandexperiment AT ruggdavid predictingdwellfatiguelifeintitaniumalloysusingmodellingandexperiment AT dunnefionnpe predictingdwellfatiguelifeintitaniumalloysusingmodellingandexperiment AT dyedavid predictingdwellfatiguelifeintitaniumalloysusingmodellingandexperiment |