{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/101105"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/101105","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Development of temperature and feed rate controllers for a hybrid thermoplastic forming of surgical blades from bulk metallic glass","abstract":"Bulk metallic glasses (BMG) are multi-component alloys that have an amorphous atomic structure. This new family of alloys exhibits a unique combination of high strength/hardness and high elastic limit, which is ideal for the formation and retention of a sharp edge. At a high temperature above glass transition temperature, BMG transitions to a supercooled liquid regime, so that thermoplastic forming process can be applied. BMG has therefore been identified as an alternative material for precision surgical blades with the potential of tremendous cost savings. Zhu [8] has recently developed a controller of the testbed that successfully manufactures high-quality sharp edge surgical blades from BMG in terms of surface roughness, straightness and edge radius. However, the controllers employed in the testbed lack repeatability and the process is not predictable and consistent due to large errors of the controlled process settings including temperature and feed rate. This error is critical to the BMG thermoplastic forming since both parameters can significantly affect the type of deformation of BMG, which ultimately result in blade edge shape. In this research, temperature control, using Fuzzy logic is implemented along with Auto-Regressive eXogenous, ARX model to the test bed, which can maintain the steady state temperature within the range of ± 2.5 K. In terms of the thermoplastic drawing process, a cascade P-PI controller is deployed. This controller improves the consistency of the position tracking performance while controlling the feed rate. Both precise temperature and feed rate control can lead to more consistent surgical blades manufacturing. Experiments have shown similar or better results of multi-facet blade geometries manufactured by Zhu [8] with type 3 deformation process settings. The blade samples are successfully manufactured with surface roughness of 18.9 nm with a standard deviation (SD) of 3.78 nm. The straightness of the blade is on the average of 18.9 nm with a SD of 3.78 nm. The average edge radius is found to be 25.7 nm with a SD of 6.3 nm. Further, the position, velocity, and force profiles during the blade manufacturing are found to be consistent with better tracking. As a result, the process parameters can be predicted with certainty to manufacture blade edges with less defects.","abstract_html":"Bulk metallic glasses (BMG) are multi-component alloys that have an amorphous atomic structure. This new family of alloys exhibits a unique combination of high strength/hardness and high elastic limit, which is ideal for the formation and retention of a sharp edge. At a high temperature above glass transition temperature, BMG transitions to a supercooled liquid regime, so that thermoplastic forming process can be applied. BMG has therefore been identified as an alternative material for precision surgical blades with the potential of tremendous cost savings. Zhu [8] has recently developed a controller of the testbed that successfully manufactures high-quality sharp edge surgical blades from BMG in terms of surface roughness, straightness and edge radius. However, the controllers employed in the testbed lack repeatability and the process is not predictable and consistent due to large errors of the controlled process settings including temperature and feed rate. This error is critical to the BMG thermoplastic forming since both parameters can significantly affect the type of deformation of BMG, which ultimately result in blade edge shape. In this research, temperature control, using Fuzzy logic is implemented along with Auto-Regressive eXogenous, ARX model to the test bed, which can maintain the steady state temperature within the range of ± 2.5 K. In terms of the thermoplastic drawing process, a cascade P-PI controller is deployed. This controller improves the consistency of the position tracking performance while controlling the feed rate. Both precise temperature and feed rate control can lead to more consistent surgical blades manufacturing. Experiments have shown similar or better results of multi-facet blade geometries manufactured by Zhu [8] with type 3 deformation process settings. The blade samples are successfully manufactured with surface roughness of 18.9 nm with a standard deviation (SD) of 3.78 nm. The straightness of the blade is on the average of 18.9 nm with a SD of 3.78 nm. The average edge radius is found to be 25.7 nm with a SD of 6.3 nm. Further, the position, velocity, and force profiles during the blade manufacturing are found to be consistent with better tracking. As a result, the process parameters can be predicted with certainty to manufacture blade edges with less defects.","abstract_has_math":false,"creators":["Dancholvichit, Nattasit"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Mechanical Engineering","degree_department":null,"school":null,"contributors":["Kapoor, Shiv"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2018,"date_issued":"2018-09-04T20:33:43Z","date_published":"2018-09-04T20:33:43Z","updated_at":"2026-07-22T22:24:38Z","subjects":["bulk metallic glass, feedback control, fuzzy logic control, ARX model, thermoplastic, linear motors, blade sharpness"],"languages":["en"],"rights":["Copyright 2018 Nattasit Dancholvichit"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/101105","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Kapoor, Shiv"]},{"key":"dc:creator","label":"Author","values":["Dancholvichit, Nattasit"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2018-09-04T20:33:43Z","2020-09-05T09:15:16Z","2018-04-26","2018-05"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Mechanical Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["bulk metallic glass, feedback control, fuzzy logic control, ARX model, thermoplastic, linear motors, blade sharpness"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2018 Nattasit Dancholvichit"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/101105"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Bulk metallic glasses (BMG) are multi-component alloys that have an amorphous atomic structure. This new family of alloys exhibits a unique combination of high strength/hardness and high elastic limit, which is ideal for the formation and retention of a sharp edge. At a high temperature above glass transition temperature, BMG transitions to a supercooled liquid regime, so that thermoplastic forming process can be applied. BMG has therefore been identified as an alternative material for precision surgical blades with the potential of tremendous cost savings. Zhu [8] has recently developed a controller of the testbed that successfully manufactures high-quality sharp edge surgical blades from BMG in terms of surface roughness, straightness and edge radius. However, the controllers employed in the testbed lack repeatability and the process is not predictable and consistent due to large errors of the controlled process settings including temperature and feed rate. This error is critical to the BMG thermoplastic forming since both parameters can significantly affect the type of deformation of BMG, which ultimately result in blade edge shape. In this research, temperature control, using Fuzzy logic is implemented along with Auto-Regressive eXogenous, ARX model to the test bed, which can maintain the steady state temperature within the range of ± 2.5 K. In terms of the thermoplastic drawing process, a cascade P-PI controller is deployed. This controller improves the consistency of the position tracking performance while controlling the feed rate. Both precise temperature and feed rate control can lead to more consistent surgical blades manufacturing. Experiments have shown similar or better results of multi-facet blade geometries manufactured by Zhu [8] with type 3 deformation process settings. The blade samples are successfully manufactured with surface roughness of 18.9 nm with a standard deviation (SD) of 3.78 nm. The straightness of the blade is on the average of 18.9 nm with a SD of 3.78 nm. The average edge radius is found to be 25.7 nm with a SD of 6.3 nm. Further, the position, velocity, and force profiles during the blade manufacturing are found to be consistent with better tracking. As a result, the process parameters can be predicted with certainty to manufacture blade edges with less defects.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2020-05-01","The student, Nattasit Dancholvichit, accepted the attached license on 2018-04-25 at 20:58.","The student, Nattasit Dancholvichit, submitted this Thesis for approval on 2018-04-25 at 21:05.","This Thesis was approved for publication on 2018-04-26 at 11:35.","DSpace SAF Submission Ingestion Package generated from Vireo submission #11188 on 2018-08-31 at 17:16:28","Made available in DSpace on 2018-09-04T20:33:43Z (GMT). No. of bitstreams: 2 DANCHOLVICHIT-THESIS-2018.pdf: 8267625 bytes, checksum: 8ff08a1a8cf416dca8f7554e61471725 (MD5) LICENSE.txt: 4219 bytes, checksum: 3aa30945955f90cc21e9515033aa692f (MD5) Previous issue date: 2018-04-26","Embargo set by: Seth Robbins for item 107188 Lift date: 2020-09-04T20:34:13Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","Embargo set by: Seth Robbins for item 107188 Lift date: 2020-09-04T20:37:00Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","Embargo set by: Seth Robbins for item 107188 Lift date: 2020-09-04T20:42:08Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","U of I Only Restriction Lifted for Item 107188 on 2020-09-05T09:15:16Z."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Development of temperature and feed rate controllers for a hybrid thermoplastic forming of surgical blades from bulk metallic glass"]}]}],"canonical_facts":{"dc:contributor":["Kapoor, Shiv"],"dc:creator":["Dancholvichit, Nattasit"],"dc:date":["2018-09-04T20:33:43Z","2020-09-05T09:15:16Z","2018-04-26","2018-05"],"dc:description":["Bulk metallic glasses (BMG) are multi-component alloys that have an amorphous atomic structure. This new family of alloys exhibits a unique combination of high strength/hardness and high elastic limit, which is ideal for the formation and retention of a sharp edge. At a high temperature above glass transition temperature, BMG transitions to a supercooled liquid regime, so that thermoplastic forming process can be applied. BMG has therefore been identified as an alternative material for precision surgical blades with the potential of tremendous cost savings. Zhu [8] has recently developed a controller of the testbed that successfully manufactures high-quality sharp edge surgical blades from BMG in terms of surface roughness, straightness and edge radius. However, the controllers employed in the testbed lack repeatability and the process is not predictable and consistent due to large errors of the controlled process settings including temperature and feed rate. This error is critical to the BMG thermoplastic forming since both parameters can significantly affect the type of deformation of BMG, which ultimately result in blade edge shape. In this research, temperature control, using Fuzzy logic is implemented along with Auto-Regressive eXogenous, ARX model to the test bed, which can maintain the steady state temperature within the range of ± 2.5 K. In terms of the thermoplastic drawing process, a cascade P-PI controller is deployed. This controller improves the consistency of the position tracking performance while controlling the feed rate. Both precise temperature and feed rate control can lead to more consistent surgical blades manufacturing. Experiments have shown similar or better results of multi-facet blade geometries manufactured by Zhu [8] with type 3 deformation process settings. The blade samples are successfully manufactured with surface roughness of 18.9 nm with a standard deviation (SD) of 3.78 nm. The straightness of the blade is on the average of 18.9 nm with a SD of 3.78 nm. The average edge radius is found to be 25.7 nm with a SD of 6.3 nm. Further, the position, velocity, and force profiles during the blade manufacturing are found to be consistent with better tracking. As a result, the process parameters can be predicted with certainty to manufacture blade edges with less defects.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2020-05-01","The student, Nattasit Dancholvichit, accepted the attached license on 2018-04-25 at 20:58.","The student, Nattasit Dancholvichit, submitted this Thesis for approval on 2018-04-25 at 21:05.","This Thesis was approved for publication on 2018-04-26 at 11:35.","DSpace SAF Submission Ingestion Package generated from Vireo submission #11188 on 2018-08-31 at 17:16:28","Made available in DSpace on 2018-09-04T20:33:43Z (GMT). No. of bitstreams: 2 DANCHOLVICHIT-THESIS-2018.pdf: 8267625 bytes, checksum: 8ff08a1a8cf416dca8f7554e61471725 (MD5) LICENSE.txt: 4219 bytes, checksum: 3aa30945955f90cc21e9515033aa692f (MD5) Previous issue date: 2018-04-26","Embargo set by: Seth Robbins for item 107188 Lift date: 2020-09-04T20:34:13Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","Embargo set by: Seth Robbins for item 107188 Lift date: 2020-09-04T20:37:00Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","Embargo set by: Seth Robbins for item 107188 Lift date: 2020-09-04T20:42:08Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","U of I Only Restriction Lifted for Item 107188 on 2020-09-05T09:15:16Z."],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/2142/101105"],"dc:language":["en"],"dc:rights":["Copyright 2018 Nattasit Dancholvichit"],"dc:subject":["bulk metallic glass, feedback control, fuzzy logic control, ARX model, thermoplastic, linear motors, blade sharpness"],"dc:title":["Development of temperature and feed rate controllers for a hybrid thermoplastic forming of surgical blades from bulk metallic glass"],"dc:type":["text"],"thesis:degree_discipline":["Mechanical Engineering"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:38Z"}