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A new heat flux coefficient model and improved refreshing rules were introduced for optimizing coiling temperature model. The off-line simulation of the new strategy was performed by laminar cooling intelligent software, and the on-line application shows that the control of coiling temperature has been improved significantly.

参考文献

[1] L. Henrich;R. Holz;G. Kneppe .Physically based cooling line model to meet growing demands in temperature and flexibility[J].Ironmaking & Steelmaking: Products and applications,1996(1):79-81.
[2] Yang Dong;Chen Ting-kuan .Application of Inverse Heat Con-duction Problem in Transient Heat Transfer Calculation[J].核动力工程,1997,18(06):553-559.
[3] Fan Xiao-ming .Intelligent Control of Hot Strip Coiling Tem-perature[D].沈阳:东北大学,2000.
[4] Cai Xiao·hui.Optimizing Control of Cooling Temperature forHot Strip Mill[J].Shenyang:Northeastern University,2001
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