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The Modeling And Visualization Of The Temperature Field Of Slab In Steel-heating Furnace

Posted on:2004-01-09Degree:MasterType:Thesis
Country:ChinaCandidate:C M ZhangFull Text:PDF
GTID:2168360095451298Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
The utilization rate of energy in industry is low. In iron and steel industry, one of the biggest consumers is Steel- heating Furnace, and we can do a lot on the Control and producing management of the Steel- heating Furnace. When the surface temperature and central temperature of slab is high enough, tapping timely is the crux of guaranteeing slab quality and energy saving. But the temperature measurement for the moment cannot measure the slabs that are being heated. Therefore, we use the knowledge of heat transfer to build the mathematics model and solve the temperature field of the slabs; then we can pass the temperature conditions to the control system, and optimize decision-making to adjust the furnace temperature timely. It attaches great importance to optimizing control technics and saving energy. In the paper the writer use the mechanism modeling to set up the inner temperature field of the steel slabs, and use the identification modeling to calculate surface temperature field. The experimental data indicates that the model can predict the temperature field accurately.Base on the mathematics model, the paper apply the graphics processing software OpenGL to visualize the slab temperature field, so that we resolve the problem of a mass of data and inconvenience in the process of project analysis. This is a novelty of the paper. In heat transfer there are problems in converting a mass of data, which is from numeric calculation and hardware collection, to visual image; These problems have many relations with the applications of heat transfer relevant subject. Therefore, the study of transforming volume data in the temperature field to visual image is of great value in engineering.
Keywords/Search Tags:Slab temperature field prediction, Neural network, Data field visualization, OpenGL, Virtual reality
PDF Full Text Request
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