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Development of Empirical Relationships Between Input and Output Parameters of Sponge Iron Process Using Neural NetworkBy A. K. Poonia, A. B. Soni, S. Khanam
Abstract: In the present study, estimation of optimum input parameters corresponding to desired output parameters is carried out for a typical sponge iron process. For this purpose data of rotary kiln of the process are collected. It includes temperatures profiles inside the rotary kiln and flow rates of air, iron ore, feed coal, slinger coal and sponge iron. These data are analysed using ANN and group method of data handling (GMDH) …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 1, Issue 2, 2015 · pp. 6–19 Read article →