{"id":{"repo_id":"buffalo","oai_identifier":"oai:ubir.buffalo.edu:10477/78481"},"canonical_url":"https://search.dev.ndltd.org/etd/buffalo/oai:ubir.buffalo.edu:10477/78481","repository":{"repo_id":"buffalo","name":"Buffalo","base_url":"https://ubir.buffalo.edu/oai/request"},"display":{"title":"Optimized Mask Image Projection-based Additive Manufacturing and Its Biomedical Applications","abstract":"Ph.D.","abstract_html":"Ph.D.","abstract_has_math":false,"creators":["Ye, Hang"],"institution":"State University of New York at Buffalo","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Zhou, Chi","Industrial and Systems Engineering"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2018,"date_issued":"2018-10-26T02:09:13Z","date_published":"2018-10-26T02:09:13Z","updated_at":"2026-07-27T19:05:09Z","subjects":["industrial engineering"],"languages":["eng"],"rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10477/78481","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Zhou, Chi","Industrial and Systems Engineering"]},{"key":"dc:creator","label":"Author","values":["Ye, Hang"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2018-10-26T02:09:13Z","2018","2018-08-10 14:31:56"]},{"key":"dc:publisher","label":"Institution","values":["State University of New York at Buffalo"]},{"key":"dc:type","label":"Dc Type","values":["Text","Dissertation"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["industrial engineering"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/10477/78481"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Ph.D.","Additive manufacturing (AM), also known as 3D printing, creates 3D objects by depositing materials layer upon layer, and it has been widely recognized as a pivotal technology for the nation’s manufacturing revitalization. Compared with traditional subtractive manufacturing or the net shape process, AM holds several advantages. However, the inherent trade-off between accuracy and efficiency has been identified as a major obstacle to a wider adoption of AM.In order to address this challenge, in this study, we were focusing on improving the overall time efficiency of AM process. The mask image projection-based stereolithography (MIP-SL) was selected as the targeted process. It uses a digital light processing device as the light source to selectively solidify a layer of the liquid photosensitive pre-polymer. The total time consumption is comprised of two components: the time for pre-fabrication computation and the time for manufacturing. Therefore, this dissertation worked on these two aspects separately."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Optimized Mask Image Projection-based Additive Manufacturing and Its Biomedical Applications"]}]}],"canonical_facts":{"dc:contributor":["Zhou, Chi","Industrial and Systems Engineering"],"dc:creator":["Ye, Hang"],"dc:date":["2018-10-26T02:09:13Z","2018","2018-08-10 14:31:56"],"dc:description":["Ph.D.","Additive manufacturing (AM), also known as 3D printing, creates 3D objects by depositing materials layer upon layer, and it has been widely recognized as a pivotal technology for the nation’s manufacturing revitalization. Compared with traditional subtractive manufacturing or the net shape process, AM holds several advantages. However, the inherent trade-off between accuracy and efficiency has been identified as a major obstacle to a wider adoption of AM.In order to address this challenge, in this study, we were focusing on improving the overall time efficiency of AM process. The mask image projection-based stereolithography (MIP-SL) was selected as the targeted process. It uses a digital light processing device as the light source to selectively solidify a layer of the liquid photosensitive pre-polymer. The total time consumption is comprised of two components: the time for pre-fabrication computation and the time for manufacturing. Therefore, this dissertation worked on these two aspects separately."],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/10477/78481"],"dc:language":["eng"],"dc:publisher":["State University of New York at Buffalo"],"dc:rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"dc:subject":["industrial engineering"],"dc:title":["Optimized Mask Image Projection-based Additive Manufacturing and Its Biomedical Applications"],"dc:type":["Text","Dissertation"]},"updated_at":"2026-07-27T19:05:09Z"}