Electric Zinc Furnace
نویسندگان
چکیده
منابع مشابه
A KINETIC STUDY ON THE CARBOTHERMIC REDUCTION OF ZINC OXIDE FROM ELECTRIC ARC FURNACE DUST
In the present study, reduction of zinc oxide from the pellets made of steelmaking electric arc furnace dust has been investigated. Effects of such parameters as the type of carbon material (graphite, coke and charcoal) as well as time and temperature on the reduction reaction have been examined. The reduced (dimensionless) time method was applied to perform a kinetic analysis of the system. Ex...
متن کاملVitrification of electric arc furnace dusts.
Electric arc furnace baghouse dust (EAFD), a waste by-product of the steelmaking process, contains the elements that are volatilized from the charge during the melting (Cr, Pb, Zn, Cu and Cd). The results of leaching tests show that the concentration of these elements exceeds the regulatory limits. Consequently, EAFD cannot be disposed of in ordinary landfill sites without stabilization of the ...
متن کاملThe Phase Composition of Electric Furnace Slag
Elementary and phase composition as well as micrography of the electric furnace slag were examined. The base of slag is made from phases containing Fe, Mn and Ca. Grains differ in size and shape, they cling together to form bigger or smaller agglomerates, depending on separated fractions. Relative distribution of identified phases in separated fractions is presented and the possibility of phase...
متن کاملRecycling Evaluation of Mill Scale in Electric Arc Furnace
A considerable amount of mill scale is generated from steelmaking plants annually. Although some industries use it as raw material however, since it contains iron in the form of FeO, Fe2O3, and Fe3O4, it can be considered as a valuable metallurgical raw material for iron and steelmaking industry as well. Thus, the aim of this study was to evaluate the possibility, efficiency, and consequences o...
متن کاملTemperature Prediction in Electric Arc Furnace with Neural Network Tree
This paper presents a neural network tree regression system with dynamic optimization of input variable transformations and post-training optimization. The decision tree consists of MLP neural networks, which optimize the split points and at the leaf level predict final outputs. The system is designed for regression problems of big and complex datasets. It was applied to the problem of steel te...
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ژورنال
عنوان ژورنال: Journal of Industrial & Engineering Chemistry
سال: 1918
ISSN: 0095-9014,1943-2968
DOI: 10.1021/ie50102a700