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Comparison of simplified techniques for solving selected coupled electroheat problems
Purpose The purpose of this paper is to compare different reduced-order models for models of control of induction brazing process. In the presented application, the problem is to reconstruct temperature at the points of interests (hot spots) from information measured at accessible places. Design/met...
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Published in: | Compel 2020-03, Vol.39 (1), p.220-230 |
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creator | Pánek, David Karban, Pavel Orosz, Tamás Doležel, Ivo |
description | Purpose
The purpose of this paper is to compare different reduced-order models for models of control of induction brazing process. In the presented application, the problem is to reconstruct temperature at the points of interests (hot spots) from information measured at accessible places.
Design/methodology/approach
The paper describes the process of induction brazing. It presents the full field model and evaluates the possibilities for obtaining reduced models for temperature estimation. The primary attention is paid to the model based on proper orthogonal decomposition (POD).
Findings
The paper shows that for the given application, it is possible to find low-order estimator. In the examined linear case, the best estimator was created using POD reduced model together with the linear Kalman filter.
Research limitations/implications
The authors are aware of two main limitations of the presented study: material properties are considered linear, which is not a completely realistic assumption. However, if strong coupling and nonlinear material parameters are considered, the model becomes unsolvable. The process and measurement uncertainties are not considered.
Originality/value
The paper deals with POD of multi-physics 3 D application of induction brazing. The paper compares 11 different methods for temperature estimator design. |
doi_str_mv | 10.1108/COMPEL-06-2019-0244 |
format | article |
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The purpose of this paper is to compare different reduced-order models for models of control of induction brazing process. In the presented application, the problem is to reconstruct temperature at the points of interests (hot spots) from information measured at accessible places.
Design/methodology/approach
The paper describes the process of induction brazing. It presents the full field model and evaluates the possibilities for obtaining reduced models for temperature estimation. The primary attention is paid to the model based on proper orthogonal decomposition (POD).
Findings
The paper shows that for the given application, it is possible to find low-order estimator. In the examined linear case, the best estimator was created using POD reduced model together with the linear Kalman filter.
Research limitations/implications
The authors are aware of two main limitations of the presented study: material properties are considered linear, which is not a completely realistic assumption. However, if strong coupling and nonlinear material parameters are considered, the model becomes unsolvable. The process and measurement uncertainties are not considered.
Originality/value
The paper deals with POD of multi-physics 3 D application of induction brazing. The paper compares 11 different methods for temperature estimator design.</description><identifier>ISSN: 0332-1649</identifier><identifier>EISSN: 2054-5606</identifier><identifier>DOI: 10.1108/COMPEL-06-2019-0244</identifier><language>eng</language><publisher>Bradford: Emerald Publishing Limited</publisher><subject>Aluminum ; Boundary conditions ; Electric heating ; Heat ; Induction brazing ; Kalman filters ; Load ; Magnetic fields ; Material properties ; Parameter uncertainty ; Partial differential equations ; Proper Orthogonal Decomposition ; Reduced order models ; Temperature</subject><ispartof>Compel, 2020-03, Vol.39 (1), p.220-230</ispartof><rights>Emerald Publishing Limited</rights><rights>Emerald Publishing Limited 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c320t-f6dcd6749d2b33e28e1b6f77d60c47bfb4ad596d927f9ed2851fe841956581c63</citedby><cites>FETCH-LOGICAL-c320t-f6dcd6749d2b33e28e1b6f77d60c47bfb4ad596d927f9ed2851fe841956581c63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2494894026/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2494894026?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,11688,27924,27925,36060,44363,74895</link.rule.ids></links><search><creatorcontrib>Pánek, David</creatorcontrib><creatorcontrib>Karban, Pavel</creatorcontrib><creatorcontrib>Orosz, Tamás</creatorcontrib><creatorcontrib>Doležel, Ivo</creatorcontrib><title>Comparison of simplified techniques for solving selected coupled electroheat problems</title><title>Compel</title><description>Purpose
The purpose of this paper is to compare different reduced-order models for models of control of induction brazing process. In the presented application, the problem is to reconstruct temperature at the points of interests (hot spots) from information measured at accessible places.
Design/methodology/approach
The paper describes the process of induction brazing. It presents the full field model and evaluates the possibilities for obtaining reduced models for temperature estimation. The primary attention is paid to the model based on proper orthogonal decomposition (POD).
Findings
The paper shows that for the given application, it is possible to find low-order estimator. In the examined linear case, the best estimator was created using POD reduced model together with the linear Kalman filter.
Research limitations/implications
The authors are aware of two main limitations of the presented study: material properties are considered linear, which is not a completely realistic assumption. However, if strong coupling and nonlinear material parameters are considered, the model becomes unsolvable. The process and measurement uncertainties are not considered.
Originality/value
The paper deals with POD of multi-physics 3 D application of induction brazing. The paper compares 11 different methods for temperature estimator design.</description><subject>Aluminum</subject><subject>Boundary conditions</subject><subject>Electric heating</subject><subject>Heat</subject><subject>Induction brazing</subject><subject>Kalman filters</subject><subject>Load</subject><subject>Magnetic fields</subject><subject>Material properties</subject><subject>Parameter uncertainty</subject><subject>Partial differential equations</subject><subject>Proper Orthogonal Decomposition</subject><subject>Reduced order models</subject><subject>Temperature</subject><issn>0332-1649</issn><issn>2054-5606</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>M0C</sourceid><recordid>eNp1kE1LxDAQhoMouK7-Ai8Fz9F8NW2OUtYPWFkP7jm0ycTt0jY1aQX_va314sG5vAzzvjPDg9A1JbeUkvyu2L28braYSMwIVZgwIU7QipFU4FQSeYpWhHOGqRTqHF3EeCRTqZSs0L7wbV-GOvou8S6Jdds3tavBJgOYQ1d_jBAT50MSffNZd-9JhAbMMM2NH_tm0p8--AOUQ9IHXzXQxkt05somwtWvrtH-YfNWPOHt7vG5uN9iwxkZsJPWWJkJZVnFObAcaCVdlllJjMgqV4nSpkpaxTKnwLI8pQ5yQVUq05waydfoZtk7HZ4_HfTRj6GbTmomlMiVIGx28cVlgo8xgNN9qNsyfGlK9MxPL_w0kXrmp2d-U4otKWghlI39J_QHOv8GxCpz3Q</recordid><startdate>20200311</startdate><enddate>20200311</enddate><creator>Pánek, David</creator><creator>Karban, Pavel</creator><creator>Orosz, Tamás</creator><creator>Doležel, Ivo</creator><general>Emerald Publishing Limited</general><general>Emerald Group Publishing Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>0U~</scope><scope>1-H</scope><scope>7SC</scope><scope>7SP</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K6~</scope><scope>K7-</scope><scope>L.-</scope><scope>L.0</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0C</scope><scope>M0N</scope><scope>M2P</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYYUZ</scope><scope>Q9U</scope></search><sort><creationdate>20200311</creationdate><title>Comparison of simplified techniques for solving selected coupled electroheat problems</title><author>Pánek, David ; Karban, Pavel ; Orosz, Tamás ; Doležel, Ivo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c320t-f6dcd6749d2b33e28e1b6f77d60c47bfb4ad596d927f9ed2851fe841956581c63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Aluminum</topic><topic>Boundary conditions</topic><topic>Electric heating</topic><topic>Heat</topic><topic>Induction brazing</topic><topic>Kalman filters</topic><topic>Load</topic><topic>Magnetic fields</topic><topic>Material properties</topic><topic>Parameter uncertainty</topic><topic>Partial differential equations</topic><topic>Proper Orthogonal Decomposition</topic><topic>Reduced order models</topic><topic>Temperature</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pánek, David</creatorcontrib><creatorcontrib>Karban, Pavel</creatorcontrib><creatorcontrib>Orosz, Tamás</creatorcontrib><creatorcontrib>Doležel, Ivo</creatorcontrib><collection>CrossRef</collection><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection</collection><collection>Computer science database</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ABI/INFORM Global</collection><collection>Computing Database</collection><collection>Science Database (ProQuest)</collection><collection>Engineering Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Business</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>ABI/INFORM Collection China</collection><collection>ProQuest Central Basic</collection><jtitle>Compel</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pánek, David</au><au>Karban, Pavel</au><au>Orosz, Tamás</au><au>Doležel, Ivo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparison of simplified techniques for solving selected coupled electroheat problems</atitle><jtitle>Compel</jtitle><date>2020-03-11</date><risdate>2020</risdate><volume>39</volume><issue>1</issue><spage>220</spage><epage>230</epage><pages>220-230</pages><issn>0332-1649</issn><eissn>2054-5606</eissn><abstract>Purpose
The purpose of this paper is to compare different reduced-order models for models of control of induction brazing process. In the presented application, the problem is to reconstruct temperature at the points of interests (hot spots) from information measured at accessible places.
Design/methodology/approach
The paper describes the process of induction brazing. It presents the full field model and evaluates the possibilities for obtaining reduced models for temperature estimation. The primary attention is paid to the model based on proper orthogonal decomposition (POD).
Findings
The paper shows that for the given application, it is possible to find low-order estimator. In the examined linear case, the best estimator was created using POD reduced model together with the linear Kalman filter.
Research limitations/implications
The authors are aware of two main limitations of the presented study: material properties are considered linear, which is not a completely realistic assumption. However, if strong coupling and nonlinear material parameters are considered, the model becomes unsolvable. The process and measurement uncertainties are not considered.
Originality/value
The paper deals with POD of multi-physics 3 D application of induction brazing. The paper compares 11 different methods for temperature estimator design.</abstract><cop>Bradford</cop><pub>Emerald Publishing Limited</pub><doi>10.1108/COMPEL-06-2019-0244</doi><tpages>11</tpages></addata></record> |
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subjects | Aluminum Boundary conditions Electric heating Heat Induction brazing Kalman filters Load Magnetic fields Material properties Parameter uncertainty Partial differential equations Proper Orthogonal Decomposition Reduced order models Temperature |
title | Comparison of simplified techniques for solving selected coupled electroheat problems |
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