{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/83945"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/83945","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Fatigue Modeling of U720 --- a Multi-Scale Approach in Understanding Grain Boundary Effects on Crack Initiation","abstract":"In this study, we construct a model for prediction of fatigue crack initiation based on the material's microstructure. Our approach is to model the energy of a persistent slip band (PSB) structure and use its stability with respect to dislocation motion as our failure criterion for crack initiation. The components that contribute to the energy of the PSB are identified, namely, the stress field resulting from the applied external forces, dislocation pile-ups, and work-hardening of the material is calculated at the continuum scale. Further, energies for dislocations creating slip in the matrix/precipitates, interacting with the GBs, and nucleating/agglomerating within the PSB are computed via MD. The predicted fatigue life is driven by the microstructure such as grain orientations, widely distributed grain sizes, precipitates, PSB-GB interactions, as well as the effect of neighboring grains. The results predict that cracks initiate near twin boundaries from PSBs spanning a single large grain with a favorable orientation or multiple grains connected by low-angle GBs. Additionally, by varying the neighboring grains, we can account for scatter in the fatigue life. The uniqueness of our approach is that it avoids the large number of parameters prevalent in previous fatigue models and provides deterministic results. Excellent agreement is shown between the model predictions and experimental data.","abstract_html":"In this study, we construct a model for prediction of fatigue crack initiation based on the material&#x27;s microstructure. Our approach is to model the energy of a persistent slip band (PSB) structure and use its stability with respect to dislocation motion as our failure criterion for crack initiation. The components that contribute to the energy of the PSB are identified, namely, the stress field resulting from the applied external forces, dislocation pile-ups, and work-hardening of the material is calculated at the continuum scale. Further, energies for dislocations creating slip in the matrix/precipitates, interacting with the GBs, and nucleating/agglomerating within the PSB are computed via MD. The predicted fatigue life is driven by the microstructure such as grain orientations, widely distributed grain sizes, precipitates, PSB-GB interactions, as well as the effect of neighboring grains. The results predict that cracks initiate near twin boundaries from PSBs spanning a single large grain with a favorable orientation or multiple grains connected by low-angle GBs. Additionally, by varying the neighboring grains, we can account for scatter in the fatigue life. The uniqueness of our approach is that it avoids the large number of parameters prevalent in previous fatigue models and provides deterministic results. Excellent agreement is shown between the model predictions and experimental data.","abstract_has_math":false,"creators":["Sangid, Michael D."],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Mechanical Engineering","degree_department":null,"school":null,"contributors":["Sehitoglu, Huseyin"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-09-25T21:12:49Z","date_published":"2015-09-25T21:12:49Z","updated_at":"2026-07-22T22:26:22Z","subjects":["Engineering, Materials Science"],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["(MiAaPQ)AAI3455854"],"render_values":[{"text":"(MiAaPQ)AAI3455854","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/83945","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Sehitoglu, Huseyin"]},{"key":"dc:creator","label":"Author","values":["Sangid, Michael D."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-09-25T21:12:49Z","10000-01-01","2010"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Mechanical Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Engineering, Materials Science"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/83945","(MiAaPQ)AAI3455854"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["In this study, we construct a model for prediction of fatigue crack initiation based on the material's microstructure. Our approach is to model the energy of a persistent slip band (PSB) structure and use its stability with respect to dislocation motion as our failure criterion for crack initiation. The components that contribute to the energy of the PSB are identified, namely, the stress field resulting from the applied external forces, dislocation pile-ups, and work-hardening of the material is calculated at the continuum scale. Further, energies for dislocations creating slip in the matrix/precipitates, interacting with the GBs, and nucleating/agglomerating within the PSB are computed via MD. The predicted fatigue life is driven by the microstructure such as grain orientations, widely distributed grain sizes, precipitates, PSB-GB interactions, as well as the effect of neighboring grains. The results predict that cracks initiate near twin boundaries from PSBs spanning a single large grain with a favorable orientation or multiple grains connected by low-angle GBs. Additionally, by varying the neighboring grains, we can account for scatter in the fatigue life. The uniqueness of our approach is that it avoids the large number of parameters prevalent in previous fatigue models and provides deterministic results. Excellent agreement is shown between the model predictions and experimental data.","Made available in DSpace on 2015-09-25T21:12:49Z (GMT). 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Our approach is to model the energy of a persistent slip band (PSB) structure and use its stability with respect to dislocation motion as our failure criterion for crack initiation. The components that contribute to the energy of the PSB are identified, namely, the stress field resulting from the applied external forces, dislocation pile-ups, and work-hardening of the material is calculated at the continuum scale. Further, energies for dislocations creating slip in the matrix/precipitates, interacting with the GBs, and nucleating/agglomerating within the PSB are computed via MD. The predicted fatigue life is driven by the microstructure such as grain orientations, widely distributed grain sizes, precipitates, PSB-GB interactions, as well as the effect of neighboring grains. The results predict that cracks initiate near twin boundaries from PSBs spanning a single large grain with a favorable orientation or multiple grains connected by low-angle GBs. Additionally, by varying the neighboring grains, we can account for scatter in the fatigue life. The uniqueness of our approach is that it avoids the large number of parameters prevalent in previous fatigue models and provides deterministic results. Excellent agreement is shown between the model predictions and experimental data.","Made available in DSpace on 2015-09-25T21:12:49Z (GMT). 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