{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/30918"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/30918","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Search-based real-time prediction of CAE solutions","abstract":"Flexible hoses and cables are important components in the construction of an automobile. When designing a vehicle, it is vital to know the shape that a flexible component will take between its two endpoints. Incorrect information regarding hose routings can lead to shortened component lifespans and even costly recalls. Because of this, great lengths have been taken to predict the shape of flexible components. In the past computer simulations using mathematical models have been used to predict hose and cable routings. Over time, these models have made many strides in terms of accurately predicting flexible component shape. However, computer simulations of hoses and cables are extremely time consuming, often times taking several hours or days. A new method of predicting hose shapes is needed to dramatically reduce this time burden. This thesis paper proposes the idea of “looking up” a solution. Rather than calculating a hose shape, a search-based approach would be used that relies on a large database of intelligently represented solutions. A large amount of processing, indexing, and optimizing would be done offline on a backend database so a solution can be quickly generated. This method is known as the Search-based Real-time Prediction of CAE solutions (SRPCS). In this research real hose shapes were generated in a test rig and stored in a database. This database was then used to search for other flexible component shape solutions in a feasibility study. The authors of this paper found that the SRPCS method provided an accurate and very rapid solution of flexible components. We believe that the concept of search-based solutions has been proven out in this research. The potential of this method needs to be further explored, including areas outside of flexible components.","abstract_html":"Flexible hoses and cables are important components in the construction of an automobile. When designing a vehicle, it is vital to know the shape that a flexible component will take between its two endpoints. Incorrect information regarding hose routings can lead to shortened component lifespans and even costly recalls. Because of this, great lengths have been taken to predict the shape of flexible components. In the past computer simulations using mathematical models have been used to predict hose and cable routings. Over time, these models have made many strides in terms of accurately predicting flexible component shape. However, computer simulations of hoses and cables are extremely time consuming, often times taking several hours or days. A new method of predicting hose shapes is needed to dramatically reduce this time burden. This thesis paper proposes the idea of “looking up” a solution. Rather than calculating a hose shape, a search-based approach would be used that relies on a large database of intelligently represented solutions. A large amount of processing, indexing, and optimizing would be done offline on a backend database so a solution can be quickly generated. This method is known as the Search-based Real-time Prediction of CAE solutions (SRPCS). In this research real hose shapes were generated in a test rig and stored in a database. This database was then used to search for other flexible component shape solutions in a feasibility study. The authors of this paper found that the SRPCS method provided an accurate and very rapid solution of flexible components. We believe that the concept of search-based solutions has been proven out in this research. The potential of this method needs to be further explored, including areas outside of flexible components.","abstract_has_math":false,"creators":["Herrmann, Tristan"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Mechanical Engineering","degree_department":null,"school":null,"contributors":["Dutta, Debasish","Patil, Lalit"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2012,"date_issued":"2012-05-22T00:15:05Z","date_published":"2012-05-22T00:15:05Z","updated_at":"2026-07-22T22:25:29Z","subjects":["Flexible Components","Shape Searching","Shape Prediction","Computer Aided Engineering (CAE)","Search Based Solutions"],"languages":["en"],"rights":["Copyright 2012 Tristan Herrmann"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/30918","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Dutta, Debasish","Patil, Lalit"]},{"key":"dc:creator","label":"Author","values":["Herrmann, Tristan"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2012-05-22T00:15:05Z","2012-05"]},{"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":["Flexible Components","Shape Searching","Shape Prediction","Computer Aided Engineering (CAE)","Search Based Solutions"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2012 Tristan Herrmann"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/30918"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Flexible hoses and cables are important components in the construction of an automobile. When designing a vehicle, it is vital to know the shape that a flexible component will take between its two endpoints. Incorrect information regarding hose routings can lead to shortened component lifespans and even costly recalls. Because of this, great lengths have been taken to predict the shape of flexible components. In the past computer simulations using mathematical models have been used to predict hose and cable routings. Over time, these models have made many strides in terms of accurately predicting flexible component shape. However, computer simulations of hoses and cables are extremely time consuming, often times taking several hours or days. A new method of predicting hose shapes is needed to dramatically reduce this time burden. This thesis paper proposes the idea of “looking up” a solution. Rather than calculating a hose shape, a search-based approach would be used that relies on a large database of intelligently represented solutions. A large amount of processing, indexing, and optimizing would be done offline on a backend database so a solution can be quickly generated. This method is known as the Search-based Real-time Prediction of CAE solutions (SRPCS). In this research real hose shapes were generated in a test rig and stored in a database. This database was then used to search for other flexible component shape solutions in a feasibility study. The authors of this paper found that the SRPCS method provided an accurate and very rapid solution of flexible components. We believe that the concept of search-based solutions has been proven out in this research. The potential of this method needs to be further explored, including areas outside of flexible components.","Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2012-04-24T20:46:02Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 2 Herrmann_Tristan.docx: 5003861 bytes, checksum: a68a82ddc7d024a3df3c6405eecb5314 (MD5) Herrmann_Tristan.pdf: 1429736 bytes, checksum: 0420df0ba57e98214c3c8be27c116fdd (MD5)","Made available in DSpace on 2012-05-22T00:15:05Z (GMT). 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Over time, these models have made many strides in terms of accurately predicting flexible component shape. However, computer simulations of hoses and cables are extremely time consuming, often times taking several hours or days. A new method of predicting hose shapes is needed to dramatically reduce this time burden. This thesis paper proposes the idea of “looking up” a solution. Rather than calculating a hose shape, a search-based approach would be used that relies on a large database of intelligently represented solutions. A large amount of processing, indexing, and optimizing would be done offline on a backend database so a solution can be quickly generated. This method is known as the Search-based Real-time Prediction of CAE solutions (SRPCS). In this research real hose shapes were generated in a test rig and stored in a database. This database was then used to search for other flexible component shape solutions in a feasibility study. The authors of this paper found that the SRPCS method provided an accurate and very rapid solution of flexible components. We believe that the concept of search-based solutions has been proven out in this research. The potential of this method needs to be further explored, including areas outside of flexible components.","Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2012-04-24T20:46:02Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 2 Herrmann_Tristan.docx: 5003861 bytes, checksum: a68a82ddc7d024a3df3c6405eecb5314 (MD5) Herrmann_Tristan.pdf: 1429736 bytes, checksum: 0420df0ba57e98214c3c8be27c116fdd (MD5)","Made available in DSpace on 2012-05-22T00:15:05Z (GMT). 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