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Case-Based Reasoning Optimization Of Oxygen Blowing For Electric Arc Furnace

Posted on:2012-09-11Degree:MasterType:Thesis
Country:ChinaCandidate:H Q LiuFull Text:PDF
GTID:2231330395458233Subject:Control Engineering
Abstract/Summary:PDF Full Text Request
Electric arc furnace (EAF) has special advantages like flexibility of molten steel temperature control, convenience of equipment operation, high thermal efficiency and short process, couple with abundance of scrap steel resources and strengthening of environmental consciousness, lead to a boom of EAF steelmaking in all over the world. To meet requirements of rhythm of efficient continuous casting, development of modern EAF steel-making process always revolve around heat shortening and power consumption reducing. It’s basic idea is to take full advantage of the physical heat and chemical heat in smelting process. Therefore, as well as the raito of heat pack of EAF is growing, the oxygen consumption in melting process is also substantially climbing up.In this paper, At first, based on the technology of EAF oxygen steelmaking, the characteristics of EAF steelmaking process are analyzed, and an idea which use case-based reasoning (CBR) to resolve the problems arise from optimazed control of EAF oxygen blowing process is put forward; Secondly, according to the principle of shortest heat duration and the requirements of technical process of EAF, reasonable EAF oxygen blowing principles are described. In which the EAF oxygen blowing process is divided into four stages which include:non-oxygen blowing while arc ignition-well driving and electrode rising stage, oxygen blowing for melting while well driving and electrode rising stage, oxygen blowing for melting while late smelting stage and oxygen blowing for heating while late smelting stage. Furthermore, acrroding to this division of EAF oxygen blowing process, the cases represent the characteristics of each stage of oxygen blowing operation are established respectively, and the algorithm of CBR process including extracting and discription of characteristics of new cases, case retrieving, case reusing and case retaining is designed.In the Final part of this paper, the simulation result of case-based optimization of EAF oxygen blowing is used to show that the oxygen blowing principles established in thish paper can provide reasonable flow rate of oxygen in corresponding stages by match the original cases in case library, also reduced power consumption while shortening the duration of heat, and avoided excessive waste of oxygen, improved effects of the smelting.
Keywords/Search Tags:electric arc furnace, oxygen blowing, case-based reasoning, optimization
PDF Full Text Request
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