神经网络模型在转炉中的应用.pdf

euro Fuzzy Modelling of Basic Oxygen Furnace and its comparison with eural etwork and GR Models 1 1 2 M.V.V.N. Sriram , N. K. Sing , G.Rajaraman 1Department of Mechanical Engg. Mining Machinery Engg, Indian School of Mines. Dhanbad, India 2Quality Assurance and Technology Development, Visakhapatnam Steel Plant, Visakhapatnam,India (malladisriram@ismu.ac.in) Abstract The primary objective of steelmaking through BOF process. As a result of the application of the Basic Oxygen Furnace (BOF) process is to achieve desired proposed modeling, acceptable levels of compatibility end point carbon content, temperature and percentage were achieved compared to the empirical BOF data in an composition at the lowest cost and in the shortest possible integrated steel plant at Turkey. Bigeev and Baitman [2] time. As of now, most widely used models for prediction of adopted different intelligent method to describe the BOF parameters of converter steelmaking are mechanistic model, steelmaking process. Although artificial intelligence statistical model and neural network model for the prediction of the end point carbon content and temperature model give a better result than conventional methods, it from BOF