{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/162434"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/162434","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Sustainable Engineering of Polyethylene Fiber Materials: Advancing Functional Properties of Diverse Textile-Based Structures","abstract":"This thesis explores pathways to circularity for polyethylene-based textiles through an integrated framework that combines material experimentation, systems-level policy analysis, and cultural innovation. Focusing on olefin block copolymer (OBC) filaments—engineered with semicrystalline polyethylene hard segments and elastomeric soft blocks—the study evaluates their mechanical behavior across a range of stitch-based textile geometries. Cyclic and postfatigue tensile testing reveals how formulation and structure shape energy dissipation and durability, informing design strategies for high-performance applications such as intra-vehicular spacesuits and wearable technologies. To understand the broader systems context, the thesis analyzes barriers to integrating recycled polyethylene (rPE) into textile supply chains, identifying economic, legal, institutional, technological, firm-level, and societal constraints. It proposes targeted strategies based on global policy trends, EU case studies, and a geospatial analysis of U.S. recycling infrastructure. Finally, the work explores how generative AI can revitalize traditional craft practices—such as bobbin lace—by co-creating patterns designed for both aesthetic and functional performance in new materials. Together, these efforts propose a model for advancing sustainable textile innovation that bridges material science, circular design, and policy transformation.","abstract_html":"This thesis explores pathways to circularity for polyethylene-based textiles through an integrated framework that combines material experimentation, systems-level policy analysis, and cultural innovation. Focusing on olefin block copolymer (OBC) filaments—engineered with semicrystalline polyethylene hard segments and elastomeric soft blocks—the study evaluates their mechanical behavior across a range of stitch-based textile geometries. Cyclic and postfatigue tensile testing reveals how formulation and structure shape energy dissipation and durability, informing design strategies for high-performance applications such as intra-vehicular spacesuits and wearable technologies. To understand the broader systems context, the thesis analyzes barriers to integrating recycled polyethylene (rPE) into textile supply chains, identifying economic, legal, institutional, technological, firm-level, and societal constraints. It proposes targeted strategies based on global policy trends, EU case studies, and a geospatial analysis of U.S. recycling infrastructure. Finally, the work explores how generative AI can revitalize traditional craft practices—such as bobbin lace—by co-creating patterns designed for both aesthetic and functional performance in new materials. Together, these efforts propose a model for advancing sustainable textile innovation that bridges material science, circular design, and policy transformation.","abstract_has_math":false,"creators":["Huynh, Amy"],"institution":"Massachusetts Institute of Technology","degree_name":"Master","degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. 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Finally, the work explores how generative AI can revitalize traditional craft practices—such as bobbin lace—by co-creating patterns designed for both aesthetic and functional performance in new materials. Together, these efforts propose a model for advancing sustainable textile innovation that bridges material science, circular design, and policy transformation."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["S.M."]},{"key":"dc:title","label":"Title","values":["Sustainable Engineering of Polyethylene Fiber Materials: Advancing Functional Properties of Diverse Textile-Based Structures"]}]}],"canonical_facts":{"dc:contributor.advisor":["Boriskina, Svetlana","Ashford, Nicholas","Mueller, Stefanie"],"dc:contributor.department":["Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science","Massachusetts Institute of Technology. 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