{"id":{"repo_id":"buffalo","oai_identifier":"oai:ubir.buffalo.edu:10477/80926"},"canonical_url":"https://search.dev.ndltd.org/etd/buffalo/oai:ubir.buffalo.edu:10477/80926","repository":{"repo_id":"buffalo","name":"Buffalo","base_url":"https://ubir.buffalo.edu/oai/request"},"display":{"title":"Computational Design for Mass Customization in Additive Manufacturing","abstract":"Ph.D.","abstract_html":"Ph.D.","abstract_has_math":false,"creators":["Huang, Jida; 0000-0001-6259-6055"],"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":2019,"date_issued":"2019-10-29T16:48:13Z","date_published":"2019-10-29T16:48:13Z","updated_at":"2026-07-27T19:05:25Z","subjects":["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/10477/80926","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":["Huang, Jida; 0000-0001-6259-6055"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2019-10-29T16:48:13Z","2019","2019-08-08 15:44:09"]},{"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":["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/10477/80926"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Ph.D.","Mass customization is an emerging paradigm to achieve variety and personalization in product geometry, functionality, and property at near mass produc­tion cost. As an emerging disruptive technology, 3D printing, also known as additive manufacturing (AM), can rapidly fabricate complex physical object and therefore enables profitable mass customization. However, the high volume and variety of design data impede the automation efficiency of design modeling. There is an increasing need to establish a systematic computational design framework for mass customized products to achieve fast and efficient design generation. Towards a customer demand-dynamic, real-time information-based design system, this research aims to investigate a computational design framework for consumer-oriented mass customization in AM. The first part presents an alignment algorithm for registration problem of 3D scanning data. To find an optimal rigid transformation that align two 3D shapes (scene and model) without any assumptions on their initial positions, a volumetric four points congruent sets (V4PCS) algorithm is proposed to extend the four co-planar points to non-coplanar ones for global registration, and theoretically demonstrate the computational complexity is significantly reduced compared to other registration methods.","**To request an accessible version of the file(s) associated with this item, contact library@buffalo.edu. Please include the item's persistent URL [http://hdl.handle.net/. . .] in your request.**"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Computational Design for Mass Customization in Additive Manufacturing"]}]}],"canonical_facts":{"dc:contributor":["Zhou, Chi","Industrial and Systems Engineering"],"dc:creator":["Huang, Jida; 0000-0001-6259-6055"],"dc:date":["2019-10-29T16:48:13Z","2019","2019-08-08 15:44:09"],"dc:description":["Ph.D.","Mass customization is an emerging paradigm to achieve variety and personalization in product geometry, functionality, and property at near mass produc­tion cost. As an emerging disruptive technology, 3D printing, also known as additive manufacturing (AM), can rapidly fabricate complex physical object and therefore enables profitable mass customization. However, the high volume and variety of design data impede the automation efficiency of design modeling. There is an increasing need to establish a systematic computational design framework for mass customized products to achieve fast and efficient design generation. Towards a customer demand-dynamic, real-time information-based design system, this research aims to investigate a computational design framework for consumer-oriented mass customization in AM. The first part presents an alignment algorithm for registration problem of 3D scanning data. To find an optimal rigid transformation that align two 3D shapes (scene and model) without any assumptions on their initial positions, a volumetric four points congruent sets (V4PCS) algorithm is proposed to extend the four co-planar points to non-coplanar ones for global registration, and theoretically demonstrate the computational complexity is significantly reduced compared to other registration methods.","**To request an accessible version of the file(s) associated with this item, contact library@buffalo.edu. Please include the item's persistent URL [http://hdl.handle.net/. . .] in your request.**"],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/10477/80926"],"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":["engineering"],"dc:title":["Computational Design for Mass Customization in Additive Manufacturing"],"dc:type":["Text","Dissertation"]},"updated_at":"2026-07-27T19:05:25Z"}