A fuzzy approach to selecting the electeric arc furnace metallic charge materials

Abstract

The proper metallic charge ratio for Electeric Arc Furnaces (EAFs) has significant effects on the quality of the produced steel and performance of the furnace. Identification of this ratio based on inaccurate trial and error decision making gives rise to many defects. The aim of the study is to specify the best mixture of charge materials with respect to the operational parameters such as energy and material consumption and etc In this regard, the FHTOPSIS model has been utilized in fuzzy environment for pinpointing the alternatives for an EAF in a steel making company in Iran in order to reduce the erroneous decision. Consequently, the Analytical Hierarchical Process (AHP) has been applied to determine the relative importance of the criteria. Then the rank of most common metallic charges has been achieved by using the fuzzy TOPSIS. The result and its comparison with real word data revealed that the charge with 20% of DRI and 80% of scrap is the proper mix as EAF metallic charge. Nomenclature CECarbon Equivalent MD Metallization degree A Pairwise comparison matrix CR Consistency ratio CI Consistency index RI Random index l max Largest eigenvalue P ij Entry of the matrix A norm a ij Entry in the ith row and the jth column of A E j Entropy value of j th alternatives m Number of alternatives k Constant coefficient d j Deviation degree of j th criteria w j Criteria weight vector D Decision matrix x ij Entry in the ith row and the jth column of D r ij Normalized decision matrix R Normalized dimension-less fuzzy matrix RECEIVED

Steel Ladle Slag Zone Lining Optimization Considering Irreversible Material Behavior

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Multi‐Response Optimization of the Thermal and Thermomechanical Behavior of a Steel Ladle Lining using Grey Relational Analysis and Technique for Order Preference by Similarity to Ideal Solution

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