Font Size: a A A

Heat Exchange Mode Optimization Of Strip Conveying In Rapid Cooling Section Of Continuous Annealing Furnace

Posted on:2011-04-22Degree:MasterType:Thesis
Country:ChinaCandidate:T H CaiFull Text:PDF
GTID:2231330395957997Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
Rapid cooling technology, one of the key technologies of a continuous strip annealing, is also an important factor which directly affect the quality of strip products. Cooling velocity is a main technology standard of rapid cooling section, and directly impact on strip’s organizational performance and mechanical properties. From the point of heat exchange capacity for different cooling ways of rapid cooling section, this paper show how to optimize the cooling velocity of strip by changing the heat exchange mode of different cooling ways. In addition, in today’s background of energy saving and emission reduction, study how to reduce the energy consumption of iron and steel metallurgical industry, which is the high pollution and high energy consumption, is of great significance. This paper use a steel mill’s continuous annealing furnace as context, research how to reduce the energy consumption of rapid cooling section by optimize the heat exchange mode.The background of this paper is derived from Northeast University with a steel mill in cooperation project. It uses a steel mill’s continuous annealing line as context and rapid cooling section as study object. Firstly, digest and absorb of its production process. After the deeply understanding of that, based on the basic theory of heat transfer, this paper analysis each cooling ways for strip cooling and heat exchange’s processes and the main factors affecting it’s heat exchange. It also pointed out the problems of the traditional heat exchange mechanism model.Based on the analysis of cooling process heat exchange theories, this paper established BP neural network model for heat exchange of rapid cooling section’s three cooling ways, and this model can satisfied the engineering requirements after it verified by generalization of simulation results. Establishing the neural network model not only provide the way of describing the heat exchange, which satisfied the steel mill’s production fact, but also provide the basis for the following research of heat exchange optimal allocation.At the end of this paper, it optimized allocation of heat exchange for different cooling ways of rapid cooling section according to the requirements of the different technology standards and economic standards in the strip production process of continuous annealing line. It also provides different heat exchange allocations for different optimized objects, namely, heat exchange mode optimization. Considering each technology’ optimization, under the premise of satisfying stripes technology’s requirements, this paper which is fully considered the factors of energy consumption and heat exchange efficiency have a some reference value for metallurgical Industry’s energy saving and pollution reducing.
Keywords/Search Tags:Continuous annealing furnace strip conveying, Rapid cooling, Heatexchange mode, Neural network, Genetic algorithm
PDF Full Text Request
Related items