Abstract
Quantitative level evaluation of cold-rolled strip was significant for the shape control and the product structure optimization. Based on the probability statistics method and the shape pattern recognition method, the shape evaluation model of cold-rolled strip was established to evaluate real-time shape of the online strip. The model was embedded in the shape control system, and the online strip shape state was real-time observed whether to meet the technical indicators, so the shape level could be identified and evaluated. Based on the shape evaluation indicators, the shape component could be well controlled to improve the shape hit rate and the control stability, so that the rolled strip shape could meet the technical requirements. At a 1050 cold strip mill, the shape data of the scene typical specifications strip were online collected and real-time evaluated, and the hit of macro shape in less than 8 I was 68.44%, indicating that the mill shape control had considerable room for improvement, as well as the evaluation method was feasible and practical for quantitative evaluation of the strip shape. So the new evaluation model has important guiding significance to increase value-added and reduce product quality objection.
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Foundation Item: Item Sponsored by the National Science and Technology Support Plan of China (2011BAF15B03); National Natural Science Foundation of China (51305387); Hebei Province Colleges and Universities Natural Science Research Youth Foundation of China (Q2012104)
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Yang, Lp., Yu, Bq., Yu, Hx. et al. Quantitative Evaluation Method of Shape Indicator for Cold-Rolled Strip. J. Iron Steel Res. Int. 21, 983–989 (2014). https://doi.org/10.1016/S1006-706X(14)60172-2
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DOI: https://doi.org/10.1016/S1006-706X(14)60172-2