Zhadanos A. Development of ladle-furnace aggregate energy-saving operating mode with influence of adjacent technological operations

Українська версія

Thesis for the degree of Candidate of Sciences (CSc)

State registration number

0408U003651

Applicant for

Specialization

  • 05.16.02 - Металургія чорних і кольорових металів та спеціальних сплавів

17-06-2008

Specialized Academic Board

Д 08.084.03

National Metallurgical Academy Of Ukraine

Essay

New solution of ladle-furnace aggregate (LF) energy-saving modes is considered in dissertation. This leads to improved technology of ladled steel treatment and provides stable metal temperature before casting. There have been completed theoretical and experimental researches of energy processes in liquid steel during treatment processes and according to the results of this researches analytical dependences have been obtained witch provide measuring accuracy of metal temperature estimation within the measuring error (±5°). That makes a possibility of further application in ASC TP of ladled steel treatment. Completed estimation of energy balance items makes it possible to define technological modes leading to the best power efficiency. With application of dynamic programming method algorithm of definition of energy-saving regime on every stage of metal treatment in LF has been developed and provides generating of urgent heating control recommendations. The imitating model of energy processes and transport operations of ladled steel treatment has been developed and used for estimation of technical and economic efficiency of proposed automated information system (AIS) and for checking of developed models in conditions of stochastic process parameters. According to the results of the researches has been completed a structure of AIS of ladled steel treatment. Industrial tests of proposed energy-saving modes of LF aggregate have been implemented on JSC "INTERPIPE NTZ". The results of the dissertation providing possibility of electric energy expenses reducing have been confirmed an average of 18%.

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