Crack presence modeling after rolling by genetic programming

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

@Article{Kovacic:2009:RMZ,

• author = "Miha Kovacic and Katja Mackosek and Andrej Mihevc and Tomaz Marolt",
• title = "Crack presence modeling after rolling by genetic programming",
• title2 = "Modeliranje prisotnosti razpok z genetskim programiranjem",
• journal = "RMZ - MATERIALS AND GEOENVIRONMENT",
• year = "2009",
• volume = "56",
• number = "1",
• pages = "24--29",
• month = mar,
• keywords = "genetic algorithms, genetic programming, steel, cracks, modeling, jeklo, razpoke, modeliranje, genetsko programiranje",
• ISSN = "0035-9645",
• URL = "http://www.rmz-mg.com/ENG_1.htm",
• URL = "http://www.rmz-mg.com/letniki/rmz56/RMZ56_0024-0029.pdf",
• size = "6 pages",
• abstract = "The optimal material processing in steel industry is difficult because of the multi-constituent and multiphase character of the commercial steels, variety of the possible processing paths, and plant specific equipment characteristics. This paper shows implementation of the genetic programming approach for crack presence modeling after rolling. The data (110 samples covering 7 different steel grades) on diffusive annealing, last pass rolling temperature, chemical composition of steel (weight percent of Mn, Cr, Mo and V), steel bar dimensions (width and thickness), heating time of the first and the last batch billet were collected during daily production. The manual ultrasound method was used for crack detection. On the basis of the monitored data a mathematical model for crack presence was developed by genetic programming. For the modeling it was adopt that after the rolling the material was treated equally. According the modeling results it is possible to assume that the material processing after rolling is probably very influential on crack occurrence.",
• abstract = "Optimalna obdelava materiala v jeklarstvu je v splo\u0161nem ote\u017eena zaradi raznolikosti komercialnih jekel, mo\u017enih obdelovalnih procesov in specifi\u010dne obdelovalne in procesne opreme. V \u010dlanku je opisana uporaba metode genetskega programiranja za modeliranje prisotnosti razpok v jeklu po valjanju. Podatki (110 primerov, 7 razli\u010dnih kvalitet) so zbrani med dnevno proizvodnjo: kemijska sestava (masni procenti Mn, Cr, Mo in V), \u0161irina in debelina palice ter \u010das ogrevanja prve in zadnje gredice. Prisotnost napak smo ugotavljali z ro\u010dnim ultrazvokom. Na podlagi monitoringa podatkov je bil razvit matemati\u010dni model za ugotavljanje prisotnosti razpok v jeklu. Pri modeliranju smo predpostavili, da je bil postopek po valjanju (ohlajevanje) za ves material enak. Rezultati modeliranja ka\u017eejo na to, da je rokovanje po valjanju izredno pomembno za pojav razpok.",
• notes = "Store Steel Ltd.",

}

Genetic Programming entries for Miha Kovacic Katja Mackosek Andrej Mihevc Tomaz Marolt

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