Optimization of steel alloying with machine learning

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

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Abstract

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:

Language of Content:

Slovenian

Mentor / Comentors:

Name and Surname	ID	Function
izr. prof. dr. Matjaž Kukar	267	Mentor

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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