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Research On Direct Iron Ore Smelting Reduction Of Dynamic Systems Analysis Of High Phosphorus

Posted on:2012-09-22Degree:MasterType:Thesis
Country:ChinaCandidate:G F FanFull Text:PDF
GTID:2211330368981704Subject:Systems analysis and integration
Abstract/Summary:PDF Full Text Request
As the world energy constantly excavate, the energy has shown a growing lack of phenomenon. Particularly with the traditional continuous lack of coal resources, which required the blast furnace coke is more scarce, the environment more and more attention has been paid, and now the domestic mining of iron ore grade is not lower, mining also great difficulty, various factors have led to increasing costs of steel companies and even overwhelmed, particularly in energy conservation and emission reduction as the focus of today's China, after looking for new technology for solving the existing iron ore becomes extremely important.This paper mainly Hismelt melting reduction process is based on the complex difficult in yunnan province for treatment of high phosphorus iron dynamic system analysis research. Today, domestic and international metallurgical smelting industry dynamics of no more than two methods, one is in the ordinary muffle furnace smelting of single variable tests to obtain the best process parameters, and in this process, or static information obtained or employer's behavior to subjective judgments of the available information, as with the theoretical model combining the dynamic validation studies. Smelting process, but the dynamic structure of condensed information not available; the other is an ordinary numerical simulation, the drawback greater numerical simulation techniques, such as Hismelt are basically cold, that is the main research area is computational fluid dynamics up to a further hydraulic model validation. However, hundreds of metallurgy is under the action of chemical reaction results (according to incomplete statistics,108 species), it can not be a true description of the smelting process dynamics.Considering above using the basicity thermogravimetric analyzer smelting trial to do to obtain corresponding dynamic data, according to the existing literature to the mechanism model method to calculate the dynamic study the dynamic parameters, such as the apparent activation energy for the 61.04kj/mol, preexponential factor of 0.88. First of all, the paper by using nonlinear dynamic systems approach in time series analysis to study the smelting of iron ore with high phosphorus dynamics. This method has the advantage of a muffle furnace tests make up the traditional numerical simulation methods and the general inadequacy. Which has been driven by the different basicity of the thermal structure of the dynamic behavior of alkalinity range plans and the best features of the dynamic graphics. So that we would be more realistic understanding of the dynamic behavior of iron and steel smelting, smelting process to better optimize the structure and parameters, making the high-phosphorus iron ore in Yunnan can be developed as soon as possible. Also returned to the metallurgical smelting industry research provides a new approach behavior. And "Good out of good steel slag," as good as the smelting process determines the quality of steel production. In addition, using two forecasting methods to predict the dynamic behavior:one is the local linear weighting method is that it can adjust forecasts from the regression variables; the other is based on signal processing of data mining EMD-AR prediction method. When adding white noise disturbance effect was found to predict poor noise-free, we can see more clearly signal its uncertainty. It is worth mentioning that fixes the EMD-AR forecasting lower than before an order of magnitude of the error. Another trend in the rate of the resulting items are parabolic-shaped curve, there is a maximum. It reflects the feedback regulation is more accurate, which improves the accuracy of iron and steel industrial automation and control, high-quality iron and steel smelting process is to lay a solid foundation to explore.
Keywords/Search Tags:Smelting reduction, TG analysis, Dynamics, Time series, Prediction
PDF Full Text Request
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