Fatigue crack growth microstructural mechanisms and texture-sensitive predictive modeling of lightweight structural metals
•Slip length controls crack growth behavior in studied lightweight structural alloys.•Critical stress intensity and grain size control intergranular failure transition.•Design maps visually interpolate crack growth mechanisms to untested stress ratios.•Grain-sensitive model predicts microstructurall...
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| Published in | International journal of fatigue Vol. 149; p. 106278 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Kidlington
Elsevier Ltd
01.08.2021
Elsevier BV |
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| Abstract | •Slip length controls crack growth behavior in studied lightweight structural alloys.•Critical stress intensity and grain size control intergranular failure transition.•Design maps visually interpolate crack growth mechanisms to untested stress ratios.•Grain-sensitive model predicts microstructurally small crack growth rates well.
Long and small fatigue crack growth (FCG) mechanisms of various light structural aluminum and titanium alloys were studied with respect to microstructure, stress ratio, and initial flaw size and related to the effective slip length (grain and phase boundaries). Damage mechanism maps were developed to provide design tools to improve material selection for safety-critical structural components. A predictive model for grain size-controlled microstructurally small FCG was developed with consideration of crack size, grain orientation, and the stochastic effects of discrete microstructural interactions. The model allows for rapid estimation of small FCG behavior and agrees well with experimental data. |
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| AbstractList | Long and small fatigue crack growth (FCG) mechanisms of various light structural aluminum and titanium alloys were studied with respect to microstructure, stress ratio, and initial flaw size and related to the effective slip length (grain and phase boundaries). Damage mechanism maps were developed to provide design tools to improve material selection for safety-critical structural components. A predictive model for grain size-controlled microstructurally small FCG was developed with consideration of crack size, grain orientation, and the stochastic effects of discrete microstructural interactions. The model allows for rapid estimation of small FCG behavior and agrees well with experimental data. •Slip length controls crack growth behavior in studied lightweight structural alloys.•Critical stress intensity and grain size control intergranular failure transition.•Design maps visually interpolate crack growth mechanisms to untested stress ratios.•Grain-sensitive model predicts microstructurally small crack growth rates well. Long and small fatigue crack growth (FCG) mechanisms of various light structural aluminum and titanium alloys were studied with respect to microstructure, stress ratio, and initial flaw size and related to the effective slip length (grain and phase boundaries). Damage mechanism maps were developed to provide design tools to improve material selection for safety-critical structural components. A predictive model for grain size-controlled microstructurally small FCG was developed with consideration of crack size, grain orientation, and the stochastic effects of discrete microstructural interactions. The model allows for rapid estimation of small FCG behavior and agrees well with experimental data. |
| ArticleNumber | 106278 |
| Author | Gavras, Anastasios G. Spangenberger, Anthony G. Lados, Diana A. |
| Author_xml | – sequence: 1 givenname: Anastasios G. surname: Gavras fullname: Gavras, Anastasios G. – sequence: 2 givenname: Anthony G. orcidid: 0000-0002-7940-9778 surname: Spangenberger fullname: Spangenberger, Anthony G. email: aspangenberger@wpi.edu – sequence: 3 givenname: Diana A. surname: Lados fullname: Lados, Diana A. |
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| CitedBy_id | crossref_primary_10_1016_j_ijfatigue_2024_108190 crossref_primary_10_1080_10408436_2022_2137462 crossref_primary_10_1016_j_ijfatigue_2022_107027 |
| Cites_doi | 10.1111/ffe.12392 10.1016/j.actamat.2012.01.023 10.1016/j.ijfatigue.2015.11.011 10.1016/j.jmrt.2019.11.055 10.1016/j.actamat.2017.04.071 10.1016/j.ijfatigue.2016.12.029 10.1016/S0921-5093(01)00984-4 10.1016/j.prostr.2020.01.137 10.1520/STP13426S 10.1016/j.actamat.2008.04.065 10.1046/j.1460-2695.2002.00571.x 10.1179/026708300101508315 10.1016/j.ijplas.2019.09.010 10.1016/j.engfracmech.2018.09.009 10.1016/S0142-1123(99)00053-5 10.1007/s11661-012-1121-9 10.1016/j.engfracmech.2015.06.003 10.1016/S0921-5093(01)01014-0 10.1016/j.matchar.2020.110349 10.1007/BF00551992 10.1016/j.ijfatigue.2004.04.004 10.1016/0025-5416(86)90217-X 10.1016/j.ijfatigue.2005.06.013 10.1179/026708399101505923 10.1016/j.engfracmech.2020.107129 10.1016/j.ijfatigue.2018.01.030 |
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| Keywords | Titanium alloys Fatigue crack growth Aluminum alloys Microstructure Stress ratio |
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| Snippet | •Slip length controls crack growth behavior in studied lightweight structural alloys.•Critical stress intensity and grain size control intergranular failure... Long and small fatigue crack growth (FCG) mechanisms of various light structural aluminum and titanium alloys were studied with respect to microstructure,... |
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| SubjectTerms | Aluminum Aluminum alloys Crack propagation Fatigue crack growth Fatigue failure Fracture mechanics Grain orientation Grain size Materials fatigue Materials selection Metal fatigue Microstructure Prediction models Safety critical Stress ratio Titanium alloys Titanium base alloys |
| Title | Fatigue crack growth microstructural mechanisms and texture-sensitive predictive modeling of lightweight structural metals |
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