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  • 标题:Estimation of Quality Parameters of Trimmed Steel Plates using Laser Sensors
  • 本地全文:下载
  • 作者:A. Zeiler ; A. Steinboeck ; W. Kemmetmüller
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:11848-11853
  • DOI:10.1016/j.ifacol.2020.12.697
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper deals with the estimation of the contour of hot-rolled steel plates and of quality parameters characterizing the trimmed edge. Suboptimal process parameters can cause camber or a saw-tooth shaped contour and imperfections on the trimmed edges. Quantitative measures of these imperfections enable a seamless quality control and can be used as input quantities for data-based or control engineering applications. The presented method utilizes measurements from 2D-laser sensors installed at the side of the production line after a trimming shear. A model-based optimization algorithm estimates the contour and a possible rotation of the plate. Signal processing and sensor fusion are employed to estimate additional quality parameters. Validation with measurement data from a rolling mill demonstrates the high accuracy of the proposed method. The camber is estimated with an accuracy lower than ±0.04 mm/m, which reveals that the proposed method is more accurate than existing solutions for camber estimation.
  • 关键词:Keywordssteel rolling millcontour estimationtrimmed edgequality controlmodel-based estimationedge quality
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