{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/95405"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/95405","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Measurement of residual stresses and solving the inverse problem to infer dislocation distributions","abstract":"Residual stresses are present in the absence of external loads. All manufactured parts exhibit some degree of residual stress, which can drastically impact fatigue life. The simulation of these stresses has become exceedingly difficult as manufacturing processes have become more complex, and especially important as the desire to reduce over-designing to save on material costs has grown. As an alternative to computer simulations, a technique for measuring strains and then inferring an optimal dislocation distribution to generate the residual stress state is presented here. A continuum dislocation formulation is described in detail and optimization results are compared with a simpler discrete dislocation formulation. The ability of the optimization problem to match the full strain field is explored as regions of measurements and components of strain are withheld. The aim is to develop a technique to reduce the number of residual strain measurements necessary to fully characterize the residual stress in a manufactured part.","abstract_html":"Residual stresses are present in the absence of external loads. All manufactured parts exhibit some degree of residual stress, which can drastically impact fatigue life. The simulation of these stresses has become exceedingly difficult as manufacturing processes have become more complex, and especially important as the desire to reduce over-designing to save on material costs has grown. As an alternative to computer simulations, a technique for measuring strains and then inferring an optimal dislocation distribution to generate the residual stress state is presented here. A continuum dislocation formulation is described in detail and optimization results are compared with a simpler discrete dislocation formulation. The ability of the optimization problem to match the full strain field is explored as regions of measurements and components of strain are withheld. The aim is to develop a technique to reduce the number of residual strain measurements necessary to fully characterize the residual stress in a manufactured part.","abstract_has_math":false,"creators":["Swartz, Kenneth E"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Mechanical Engineering","degree_department":null,"school":null,"contributors":["Beaudoin, Armand J."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2017,"date_issued":"2017-03-01T15:49:30Z","date_published":"2017-03-01T15:49:30Z","updated_at":"2026-07-22T22:26:37Z","subjects":["residual stress","dislocations"],"languages":["en"],"rights":["Copyright 2016 Kenneth Swartz"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/95405","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Beaudoin, Armand J."]},{"key":"dc:creator","label":"Author","values":["Swartz, Kenneth E"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2017-03-01T15:49:30Z","2016-12-06","2016-12"]},{"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":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"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":["residual stress","dislocations"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2016 Kenneth Swartz"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/95405"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Residual stresses are present in the absence of external loads. All manufactured parts exhibit some degree of residual stress, which can drastically impact fatigue life. The simulation of these stresses has become exceedingly difficult as manufacturing processes have become more complex, and especially important as the desire to reduce over-designing to save on material costs has grown. As an alternative to computer simulations, a technique for measuring strains and then inferring an optimal dislocation distribution to generate the residual stress state is presented here. A continuum dislocation formulation is described in detail and optimization results are compared with a simpler discrete dislocation formulation. The ability of the optimization problem to match the full strain field is explored as regions of measurements and components of strain are withheld. The aim is to develop a technique to reduce the number of residual strain measurements necessary to fully characterize the residual stress in a manufactured part.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2017-02-28 without embargo terms","The student, Kenneth Swartz, accepted the attached license on 2016-12-06 at 13:20.","The student, Kenneth Swartz, submitted this Thesis for approval on 2016-12-06 at 13:25.","This Thesis was approved for publication on 2016-12-06 at 16:38.","DSpace SAF Submission Ingestion Package generated from Vireo submission #10450 on 2017-02-28 at 14:55:33","Made available in DSpace on 2017-03-01T15:49:30Z (GMT). No. of bitstreams: 2 SWARTZ-THESIS-2016.pdf: 13661070 bytes, checksum: 82bd5a251510fb802a06db7a51c651aa (MD5) LICENSE.txt: 4211 bytes, checksum: e4a0070545aff89ea7f03555fcb3a0a4 (MD5) Previous issue date: 2016-12-06"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Measurement of residual stresses and solving the inverse problem to infer dislocation distributions"]}]}],"canonical_facts":{"dc:contributor":["Beaudoin, Armand J."],"dc:creator":["Swartz, Kenneth E"],"dc:date":["2017-03-01T15:49:30Z","2016-12-06","2016-12"],"dc:description":["Residual stresses are present in the absence of external loads. All manufactured parts exhibit some degree of residual stress, which can drastically impact fatigue life. The simulation of these stresses has become exceedingly difficult as manufacturing processes have become more complex, and especially important as the desire to reduce over-designing to save on material costs has grown. As an alternative to computer simulations, a technique for measuring strains and then inferring an optimal dislocation distribution to generate the residual stress state is presented here. A continuum dislocation formulation is described in detail and optimization results are compared with a simpler discrete dislocation formulation. The ability of the optimization problem to match the full strain field is explored as regions of measurements and components of strain are withheld. The aim is to develop a technique to reduce the number of residual strain measurements necessary to fully characterize the residual stress in a manufactured part.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2017-02-28 without embargo terms","The student, Kenneth Swartz, accepted the attached license on 2016-12-06 at 13:20.","The student, Kenneth Swartz, submitted this Thesis for approval on 2016-12-06 at 13:25.","This Thesis was approved for publication on 2016-12-06 at 16:38.","DSpace SAF Submission Ingestion Package generated from Vireo submission #10450 on 2017-02-28 at 14:55:33","Made available in DSpace on 2017-03-01T15:49:30Z (GMT). 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