{"id":{"repo_id":"lsu-thes","oai_identifier":"oai:repository.lsu.edu:gradschool_dissertations-1351"},"canonical_url":"https://search.dev.ndltd.org/etd/lsu-thes/oai:repository.lsu.edu:gradschool_dissertations-1351","repository":{"repo_id":"lsu-thes","name":"Lousiana State University","base_url":"https://repository.lsu.edu/do/oai/"},"display":{"title":"Healing-on-Demand Polymer Composites Based on Shape Memory Polyurethane Fibers and Polymeric Artificial Muscles","abstract":"In this dissertation, the healing-on-demand polymer composites based on shape memory polyurethane fibers and artificial muscles are investigated, for understanding and developing a novel healing-on-demand composite so that it would be used for industrial applications that could heal structural-length scale damage and leaking autonomously, repeatedly, efficiently, timely, and molecularly. Firstly, the structural relaxation behavior of shape memory polyurethane (SMPU) fiber was studied by theoretical analysis and experimental test. Then, a self-healing composite based on cold-drawn short SMPU fiber was prepared and tested for evaluating its crack-healing performance. After that, polymer artificial muscle based healing-on-demand composite was developed and characterized. Based on the systematic research results, the study on fishing line artificial muscle reinforced composite for impact mitigation and on-demand damage healing was conducted. Future studies to grow this research area are discussed.","abstract_html":"In this dissertation, the healing-on-demand polymer composites based on shape memory polyurethane fibers and artificial muscles are investigated, for understanding and developing a novel healing-on-demand composite so that it would be used for industrial applications that could heal structural-length scale damage and leaking autonomously, repeatedly, efficiently, timely, and molecularly. Firstly, the structural relaxation behavior of shape memory polyurethane (SMPU) fiber was studied by theoretical analysis and experimental test. Then, a self-healing composite based on cold-drawn short SMPU fiber was prepared and tested for evaluating its crack-healing performance. After that, polymer artificial muscle based healing-on-demand composite was developed and characterized. Based on the systematic research results, the study on fishing line artificial muscle reinforced composite for impact mitigation and on-demand damage healing was conducted. Future studies to grow this research area are discussed.","abstract_has_math":false,"creators":["Zhang, Pengfei"],"institution":"Mechanical Engineering","degree_name":"Doctor of Philosophy (PhD)","degree_level":"Dissertation","degree_discipline":"Mechanical Engineering","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-01-01T08:00:00Z","date_published":"2015-01-01T08:00:00Z","updated_at":"2026-07-24T02:57:30Z","subjects":["polymer composites","bio-materials","artificial muscle","shape memory effect","healing-on-demand","self-healing"],"languages":[],"rights":["unrestricted","Release the entire work immediately for access worldwide."],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["etd-07022015-173357","https://repository.lsu.edu/gradschool_dissertations/352"],"render_values":[{"text":"etd-07022015-173357","href":null,"code":true},{"text":"https://repository.lsu.edu/gradschool_dissertations/352","href":"https://repository.lsu.edu/gradschool_dissertations/352","code":true}]}]},"links":{"outbound_url":"https://doi.org/10.31390/gradschool_dissertations.352","outbound_label":"DOI","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Zhang, Pengfei"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-06-22"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2022-05-12T23:08:32Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Mechanical Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Doctor of Philosophy (PhD)"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Mechanical Engineering"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["polymer composites","bio-materials","artificial muscle","shape memory effect","healing-on-demand","self-healing"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["unrestricted","Release the entire work immediately for access worldwide."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["etd-07022015-173357","10.31390/gradschool_dissertations.352","https://repository.lsu.edu/gradschool_dissertations/352"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["In this dissertation, the healing-on-demand polymer composites based on shape memory polyurethane fibers and artificial muscles are investigated, for understanding and developing a novel healing-on-demand composite so that it would be used for industrial applications that could heal structural-length scale damage and leaking autonomously, repeatedly, efficiently, timely, and molecularly. Firstly, the structural relaxation behavior of shape memory polyurethane (SMPU) fiber was studied by theoretical analysis and experimental test. Then, a self-healing composite based on cold-drawn short SMPU fiber was prepared and tested for evaluating its crack-healing performance. After that, polymer artificial muscle based healing-on-demand composite was developed and characterized. Based on the systematic research results, the study on fishing line artificial muscle reinforced composite for impact mitigation and on-demand damage healing was conducted. Future studies to grow this research area are discussed."]},{"key":"dc:title","label":"Title","values":["Healing-on-Demand Polymer Composites Based on Shape Memory Polyurethane Fibers and Polymeric Artificial Muscles"]}]}],"canonical_facts":{"dc:creator":["Zhang, Pengfei"],"dc:date":["2015-06-22"],"dc:date.available":["2022-05-12T23:08:32Z"],"dc:description.abstract":["In this dissertation, the healing-on-demand polymer composites based on shape memory polyurethane fibers and artificial muscles are investigated, for understanding and developing a novel healing-on-demand composite so that it would be used for industrial applications that could heal structural-length scale damage and leaking autonomously, repeatedly, efficiently, timely, and molecularly. Firstly, the structural relaxation behavior of shape memory polyurethane (SMPU) fiber was studied by theoretical analysis and experimental test. Then, a self-healing composite based on cold-drawn short SMPU fiber was prepared and tested for evaluating its crack-healing performance. After that, polymer artificial muscle based healing-on-demand composite was developed and characterized. Based on the systematic research results, the study on fishing line artificial muscle reinforced composite for impact mitigation and on-demand damage healing was conducted. Future studies to grow this research area are discussed."],"dc:identifier":["etd-07022015-173357","10.31390/gradschool_dissertations.352","https://repository.lsu.edu/gradschool_dissertations/352"],"dc:rights":["unrestricted","Release the entire work immediately for access worldwide."],"dc:subject":["polymer composites","bio-materials","artificial muscle","shape memory effect","healing-on-demand","self-healing"],"dc:title":["Healing-on-Demand Polymer Composites Based on Shape Memory Polyurethane Fibers and Polymeric Artificial Muscles"],"thesis:degree_discipline":["Mechanical Engineering"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Doctor of Philosophy (PhD)"],"thesis:institution_name":["Mechanical Engineering"]},"updated_at":"2026-07-24T02:57:30Z"}