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Optimization of steel alloying with machine learning

Žiga Štosir (2019) Optimization of steel alloying with machine learning. EngD thesis.

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    The aim of this thesis is the optimization of alloy additions in steel making. In the first part of this thesis we present some basics of metallurgy and the process of steel making where our problem originates from. Then we present the tools and technologies used in development, followed by a description on how we processed and modelled the data. After that we then describe the results. In conclusion we summarize our work and present possibilities for improvement and further development.

    Item Type: Thesis (EngD thesis)
    Keywords: steel making, machine learning, optimization, linear programming, Python
    Number of Pages: 52
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    izr. prof. dr. Matjaž Kukar267Mentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1538150595)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 4372
    Date Deposited: 20 Feb 2019 15:06
    Last Modified: 12 Mar 2019 11:12
    URI: http://eprints.fri.uni-lj.si/id/eprint/4372

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