Prediction of time-varying heat flux along a hollow cylindrical tube wall using recursive input estimation algorithm and thermal resistance network method
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Noh, Jung-Hun | - |
dc.contributor.author | Cha, Ki-Up | - |
dc.contributor.author | Ahn, Sang-Tae | - |
dc.contributor.author | Yook, Se-Jin | - |
dc.date.accessioned | 2021-07-30T04:58:52Z | - |
dc.date.available | 2021-07-30T04:58:52Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2016-06 | - |
dc.identifier.issn | 0017-9310 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/2549 | - |
dc.description.abstract | In this study, a model using the thermal resistance network method and the recursive input estimation algorithm was developed to analyze two-dimensional inverse heat conduction problems. The recursive input estimation algorithm consisted of the Kalman filter and the real-time least squares. A two layered hollow cylindrical tube was assumed with the convection heat transfer boundary condition at the outer wall of the tube. Using the model developed in this study, an unknown time-varying heat flux at the inner wall of the tube was predicted from the known temperatures at some positions on the outer wall of the tube in the longitudinal direction. In the process of predicting the unknown heat flux, the temperature distribution in the two-layered hollow cylindrical tube wall was also obtained. The present model was able to accurately predict the unknown time-varying heat flux profiles of square waves or sinusoidal-like waves with and without spatial variations in the longitudinal direction. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | - |
dc.title | Prediction of time-varying heat flux along a hollow cylindrical tube wall using recursive input estimation algorithm and thermal resistance network method | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Yook, Se-Jin | - |
dc.identifier.doi | 10.1016/j.ijheatmasstransfer.2016.02.011 | - |
dc.identifier.scopusid | 2-s2.0-84959373328 | - |
dc.identifier.wosid | 000374616900022 | - |
dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, v.97, pp.232 - 241 | - |
dc.relation.isPartOf | INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER | - |
dc.citation.title | INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER | - |
dc.citation.volume | 97 | - |
dc.citation.startPage | 232 | - |
dc.citation.endPage | 241 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Thermodynamics | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Mechanics | - |
dc.relation.journalWebOfScienceCategory | Thermodynamics | - |
dc.relation.journalWebOfScienceCategory | Engineering, Mechanical | - |
dc.relation.journalWebOfScienceCategory | Mechanics | - |
dc.subject.keywordPlus | INVERSE ESTIMATION | - |
dc.subject.keywordPlus | TEMPERATURE | - |
dc.subject.keywordPlus | TRACKING | - |
dc.subject.keywordPlus | STRENGTH | - |
dc.subject.keywordAuthor | Inverse heat conduction problem | - |
dc.subject.keywordAuthor | Thermal resistance network method | - |
dc.subject.keywordAuthor | Recursive input estimation algorithm | - |
dc.subject.keywordAuthor | Kalman filter | - |
dc.subject.keywordAuthor | Multi-layered tube | - |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S0017931015312849?via%3Dihub | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.