Spatial statistical characterization and simulation of microtexture

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dc.contributor.advisorMillwater, Harry
dc.contributor.authorSparkman, Daniel Murray
dc.contributor.committeeMemberWang, Xiadou
dc.contributor.committeeMemberDe Oliveira, Victor
dc.contributor.committeeMemberFoster, John
dc.contributor.committeeMemberFeng, Yusheng
dc.date.accessioned2024-03-08T15:45:58Z
dc.date.available2024-03-08T15:45:58Z
dc.date.issued2014
dc.descriptionThis item is available only to currently enrolled UTSA students, faculty or staff. To download, navigate to Log In in the top right-hand corner of this screen, then select Log in with my UTSA ID.
dc.description.abstractMicrotexture has been found to affect the macro-scale behavior of materials in many ways. For example, in titanium alloys, microtexture regions are preferential sites of fatigue crack formation. Also, yield strength and fatigue life have been shown to be affected by the microtexture. Despite the consensus on the importance of the presence of microtextured regions in polycrystals, no standard methods exist to statistically characterize these regions. The only published method for simulation of microtexture does not take into account the spatial nature of the regions. In this work, it is proposed that microtexture may be characterized with spatial statistics. Methods were also developed for simulation of microtexture. Characterization of microtexture regions allows for quantitative comparison of different materials and different thermal-mechanical processing routes. Simulation of microtexture regions allows for prediction of bulk material properties from micro-scale models. Combining the characterization and simulation methods proposed in this work will allow for optimization of material processing for improved material properties and performance.
dc.description.departmentMechanical Engineering
dc.format.extent207 pages
dc.format.mimetypeapplication/pdf
dc.identifier.isbn9781303920899
dc.identifier.urihttps://hdl.handle.net/20.500.12588/5789
dc.languageen
dc.subjectFinite Mixture Model
dc.subjectMacrozone
dc.subjectMicrotextured Region
dc.subjectPlurigaussian
dc.subject.classificationMechanical engineering
dc.subject.classificationMaterials Science
dc.subject.classificationStatistics
dc.subject.lcshMicrostructure
dc.subject.lcshMicromechanics
dc.subject.lcshMaterials -- Analysis
dc.titleSpatial statistical characterization and simulation of microtexture
dc.typeThesis
dc.type.dcmiText
dcterms.accessRightspq_closed
thesis.degree.departmentMechanical Engineering
thesis.degree.grantorUniversity of Texas at San Antonio
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy

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