Fuzzy Based Approach for Assessing Amount of Alloy Additives in Steel Production Process
نویسنده
چکیده
Steel production involves three basic steps. At first, the heat source is to be produced to melt the iron ore. Next in a furnace iron is melted. Lastly, to produce steel the molten iron is processed. The advantage of steel over iron is greatly enhanced strength. The properties of steel are highly reliant on the amount of alloying elements, so that their levels are carefully controlled during its manufacture. The addition of alloying elements is usually made based on the professional experience of experts and thus an operator determines the amount of alloying elements to be added to produce the steel of a particular kind. This paper presents the K-Means clustering method to assess the proportion of alloying elements that has a fuzzy nature. The simulation results show that the proposed method can be applied effectually in steel making. Keywords—alloying elements, clustering, fuzzy, steel.
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