폭 퍼짐을 고려한 열연공정 압연하중 설정정확도 개선Improvement of Rolling Load Prediction with Consideration of Spread in Hot Rolling

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 478
  • Download : 17
DC FieldValueLanguage
dc.contributor.author정종엽ko
dc.contributor.author임용택ko
dc.date.accessioned2009-12-16T08:20:18Z-
dc.date.available2009-12-16T08:20:18Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2000-11-
dc.identifier.citation대한기계학회논문집 A, v.24, no.11, pp.2836 - 2844-
dc.identifier.issn1226-4873-
dc.identifier.urihttp://hdl.handle.net/10203/15080-
dc.description.abstractThickness control of hot-rolled strips has become an important issue in recent years because of the need for improving the quality of the hot-rolled strip. In this study, a modifying method of rolling force set-up with consideration of spread was developed to improve the thickness uniformity at the finishing rolling units in hot rolling. Through the analysis of real production data it was found that the accuracy of the rolling force determined from the finishing mill set-up (FSU) model dominantly governed the thickness uniformity in rolled plates at the front. Based on this analysis, several examples were selected to calculate the spread of rolled plate using three dimensional rigid thermo-viscoplastic finite element program. FE analysis results were used to train the neural network system that can predict the spread of hot-rolled plate and the rolling force was modified based on the predicted value of spread. The modified rolling forces were closer to the measured rolling force so it can be expected that the accuracy of thickness uniformity of hot-rolled plate will be improved.-
dc.languageKorean-
dc.language.isokoen
dc.publisher대한기계학회-
dc.title폭 퍼짐을 고려한 열연공정 압연하중 설정정확도 개선-
dc.title.alternativeImprovement of Rolling Load Prediction with Consideration of Spread in Hot Rolling-
dc.typeArticle-
dc.subject.alternativeHot Rollingen
dc.subject.alternativeFinishing Mill Set-up(FUS)en
dc.subject.alternativeSpreaden
dc.subject.alternativeFinite Element Analysisen
dc.subject.alternativeNeural Networken
dc.type.rimsART-
dc.citation.volume24-
dc.citation.issue11-
dc.citation.beginningpage2836-
dc.citation.endingpage2844-
dc.citation.publicationname대한기계학회논문집 A-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthor임용택-
dc.contributor.nonIdAuthor정종엽-
Appears in Collection
ME-Journal Papers(저널논문)
Files in This Item

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0