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Ocenjevanje temperature taline v elektroobločni peči z uporabo mehkega modeliranja
ID Blažič, Aljaž (Author), ID Logar, Vito (Mentor) More about this mentor... This link opens in a new window, ID Škrjanc, Igor (Co-mentor)

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Abstract
Elektroobločne peči so namenjene reciklaži jeklenega odpadka. Pri procesu reciklaže predstavlja končna temperatura taline eno od pomembnejših veličin. Narava procesa taljenja onemogoča sprotno merjenje temperature taline, zato se meritve izvaja le pred odlivanjem taline, s čimer se preveri ali se temperatura taline nahaja v predpisanemu intervalu. Za opravljanje meritev se uporabljajo merilne sonde za enkratno uporabo. Med potekom merjenja temperature je potrebno peč ugasniti, kar prispeva k daljšemu trajanju reciklaže, nepotrebnih izgubam energije ter posledično nižji učinkovitosti. Delo predstavlja razvoj modela temperature taline v elektroobločni peči z uporabo mehkega pristopa. Model vključuje vse vplivne dejavnike, ki se merijo na elektroobločni peči. Predlagani model temperature taline je namenjen implementaciji na elektroobločni peči, kjer bo deloval sočasno s procesom reciklaže ter nudil podporo operaterjem elektroobločne peči o vrednosti temperature jekla. Tako bo zmanjšano potrebno število meritev temperature taline, kar skrajša čas reciklaže jekla in posledično poveča produktivnost obrata. Mehki model temperature se je izkazal kot zanesljiv in primeren za uporabo na elektroobločni peči pod dvema pogojema, in sicer da je prva meritev temperature pravilna in da je do prve meritve temperature taline vložek jekla v celoti staljen. Predpostavljeni model temperature ni vezan na specifične lastnosti elektroobločne peči, ampak zgolj na meritve, ki se zajemajo na peči. To mu omogoča hitro in enostavno prenosljivost tudi na druge dizajne peči. Pristop k mehkemu modeliranju, nakazan v delu, ni omejen zgolj na ocenjevanje temperature taline, saj ga je mogoče enostavno razširiti tudi na druga področja.

Language:Slovenian
Keywords:elektroobločna peč, mehko modeliranje, rojenje Gustafson-Kessel, optimizacija z roji delcev, ocena temperature
Work type:Master's thesis/paper (mb22)
Organization:FE - Faculty of Electrical Engineering
Year:2020
COBISS.SI-ID:31494147 This link opens in a new window
Publication date in RUL:10.09.2020
Views:569
Downloads:179
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Secondary language

Language:English
Title:Estimation of bath temperature in electric arc furnace using fuzzy modelling approach
Abstract:
Electric arc furnaces are intended for the recycling of steel scrap. In the recycling process, the final melt temperature is one of the most important quantities. Due to the nature of the melting process, continuous measurement of the melt temperature is impossible and is performed only before the melt is tapped, in order to check whether the melt temperature is within the prescribed interval. Disposable measuring probes are used to perform the measurements. During the temperature measurement, the furnace must be switched off, which contributes to a longer recycling time, unnecessary energy losses and consequently lower efficiency. The thesis presents the development of a melt temperature model in an electric arc furnace using a fuzzy approach. The model includes all influencing factors measured on an electric arc furnace. The proposed melt temperature model is intended for implementation on an electric arc furnace, where it will operate in parallel with the recycling process and offer support to electric arc furnace operators on steel temperature. This will reduce the required number of melt temperature measurements, which shortens the recycling time of steel and consequently increases plant productivity. The fuzzy temperature model has proven to be reliable and suitable for use on an electric arc furnace provided that the first temperature measurement is correct and that the steel scrap is completely melted by the first melt temperature measurement. The fuzzy temperature model is not tied to the specific properties of the electric arc furnace, but only to the measurements performed on the furnace. This allows it to be quickly and easily transferred to other furnace designs. The approaches to fuzzy modelling indicated in the thesis are not limited to estimating melt temperature, as it can be easily extended to other areas.

Keywords:electric arc furnace, fuzzy modeling, Gustafson-Kessel clustering, particle swarm optimization, temperature estimation

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