Ladle-Nozzle Opening and Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{kovacic:2014:MT,

• author = "Miha Kovacic and Beno Jurjovec and Luka Krajnc",
• title = "Ladle-Nozzle Opening and Genetic Programming",
• journal = "Materials and technology",
• year = "2014",
• volume = "48",
• number = "1",
• pages = "23--26",
• month = jan # "-" # feb,
• publisher = "Institute of Metals and Technology, Ljubljana, Slovenia",
• keywords = "genetic algorithms, genetic programming, secondary metallurgy, ladle-nozzle opening, modelling, sekundarna metalurgija, podziganje, modeliranje, genetsko programiranje",
• ISSN = "1580-2949",
• language = "English",
• URL = "http://mit.imt.si/Revija/izvodi/mit141/kovacic.htm",
• URL = "http://mit.imt.si/Revija/izvodi/mit141/kovacic.pdf",
• size = "4 pages",
• abstract = "Store Steel Ltd. faces a huge problem with the ladle nozzle opening during the production of a wide variety of steel grades. After a ladle treatment the steel melt is poured from the ladle through the sliding gate and the nozzle into the tundish on the continuous casting machine. Due to frequent clogging the ladle nozzle must be opened with oxygen which can cause melt pollution. The purpose of this paper is to present an attempt to reduce ladle-nozzle openings. In this attempt the genetic-programming method was used. The experimental data on 115 consecutively cast heats was used. The steel making-technology number, the batch sequence number, the time spend for secondary metallurgy, the sustainability of the upper-nozzle brick, the sustainability of the nozzle seating block, the sustainability of the lower-nozzle brick, the ladle number, the sustainability of the ladle and of the foreman of secondary metallurgy and the melt chemical composition (Al, C, Mn and Si) were taken into account for the prediction of the ladle-nozzle opening. The best genetically developed model for the ladle-nozzle-opening prediction correctly predicts 107 out of 115 situations of opening the ladle. The results of the genetic-programming-based modelling have been used in practice to change several steelmaking technologies",
• abstract_sc = "Store Steel, d. o. o., se spopada s tezavo podziganja izlivka ponve pri izdelavi ogromnega stevila razlicnih kvalitet jekla. Po obdelavi na ponovcni peci se taline skozi drsno zapiralo in izlivek prelije v vmesno ponovco na kontinuirni livni napravi. Zaradi pogostega masenja se izlivki odpirajo s kisikovim kopjem, kar lahko povzroca onesnazenje taline. Namen studije je bil zmanjsati stevilo podziganj. Uporabljena je bila metoda genetskega programiranja. Pri napovedovanju podziganja smo upostevali stevilko tehnoloskega postopka izdelave jekla, zaporedno stevilko sarze pri sekvenci, cas sekundarne metalurgije, vzdrznost zunanjega izlivka ter ponovce, ponovcarja in kemicno sestavo taline (Al, C, Mn in Si). Najboljsi genetsko dobljeni model je napovedal 107 od 115 dejansko izvrsenih podziganj. Rezultati modeliranja z genetskim programiranjem so privedli do sprememb vec tehnologij izdelave jekla.",
• notes = "MTAEC9 48(1)23(2014) http://www.imt.si/materiali-tehnologije/",

}

Genetic Programming entries for Miha Kovacic Beno Jurjovec Luka Krajnc

Citations