DC Field | Value | Language |
---|---|---|
dc.contributor.author | 정종엽 | ko |
dc.contributor.author | 임용택 | ko |
dc.date.accessioned | 2009-12-16T08:20:18Z | - |
dc.date.available | 2009-12-16T08:20:18Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2000-11 | - |
dc.identifier.citation | 대한기계학회논문집 A, v.24, no.11, pp.2836 - 2844 | - |
dc.identifier.issn | 1226-4873 | - |
dc.identifier.uri | http://hdl.handle.net/10203/15080 | - |
dc.description.abstract | Thickness 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.language | Korean | - |
dc.language.iso | ko | en |
dc.publisher | 대한기계학회 | - |
dc.title | 폭 퍼짐을 고려한 열연공정 압연하중 설정정확도 개선 | - |
dc.title.alternative | Improvement of Rolling Load Prediction with Consideration of Spread in Hot Rolling | - |
dc.type | Article | - |
dc.subject.alternative | Hot Rolling | en |
dc.subject.alternative | Finishing Mill Set-up(FUS) | en |
dc.subject.alternative | Spread | en |
dc.subject.alternative | Finite Element Analysis | en |
dc.subject.alternative | Neural Network | en |
dc.type.rims | ART | - |
dc.citation.volume | 24 | - |
dc.citation.issue | 11 | - |
dc.citation.beginningpage | 2836 | - |
dc.citation.endingpage | 2844 | - |
dc.citation.publicationname | 대한기계학회논문집 A | - |
dc.embargo.liftdate | 9999-12-31 | - |
dc.embargo.terms | 9999-12-31 | - |
dc.contributor.localauthor | 임용택 | - |
dc.contributor.nonIdAuthor | 정종엽 | - |
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