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Title:ANALIZA VPLIVA POSTOPKA IZDELAVE JEKLA 30MnVS6 NA POJAV POVRŠINSKIH NAPAK Z UPORABO GENETSKEGA PROGRAMIRANJA
Authors:ID Jurjovec, Beno (Author)
ID Balič, Jože (Mentor) More about this mentor... New window
ID Kovačič, Miha (Comentor)
Files:.pdf MAG_Jurjovec_Beno_2016.pdf (1,77 MB)
MD5: A22B9417972798A07D759D4112A7A86A
 
Language:Slovenian
Work type:Master's thesis
Typology:2.09 - Master's Thesis
Organization:FS - Faculty of Mechanical Engineering
Abstract:V magistrskem delu je predstavljeno napovedovanje izmeta jeklenih valjancev po pregledu na kontrolni liniji. Osredotočili smo se na izmet zaradi površinskih napak, na luščenih okroglih valjancih, pri kvaliteti 30MnVS6. Beležili smo kemično sestavo taline, toplotni tok, hitrost litja med odlivanjem jekla na trožilni napravi za kontinuirano odlivanje jekla in procent izmeta zaradi površinskih napak, v obdobju od septembra 2014 do maja 2015. Na podlagi zbranih podatkov sta bila izdelana modela s pomočjo linearne regresije in genetskega programiranja. Model za napovedovanje izmeta s pomočjo sistema za genetsko programiranje je 1,57-krat boljši od modela dobljenega s pomočjo linearne regresije. Izsledki raziskave so v praksi uporabljeni od sredine leta 2015. Izmet je pri kvaliteti 30MnVS6 za 3,09-krat manjši. Tako znaša letni prihranek, pri količini 12.000 t jeklenih valjancev iz 30MnVS6, 460.000 €.
Keywords:površinske napake na valjancih, modeliranje, linearna regresija, genetsko programiranje, napoved izmeta, valjano jeklo
Place of publishing:Maribor
Publisher:[B. Jurojovec]
Year of publishing:2016
PID:20.500.12556/DKUM-61066 New window
UDC:004.89:[620.191:669.14-122](043.2)
COBISS.SI-ID:20177430 New window
NUK URN:URN:SI:UM:DK:AKD5MLDN
Publication date in DKUM:08.09.2016
Views:1878
Downloads:165
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FS
:
JURJOVEC, Beno, 2016, ANALIZA VPLIVA POSTOPKA IZDELAVE JEKLA 30MnVS6 NA POJAV POVRŠINSKIH NAPAK Z UPORABO GENETSKEGA PROGRAMIRANJA [online]. Master’s thesis. Maribor : B. Jurojovec. [Accessed 1 April 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=61066
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Secondary language

Language:English
Title:STEELMAKING PROCESSES IMPACT ON 30MNVS6 AND OCCURRENCE OF SURFACE DEFECTS WITH THE USE OF GENETIC PROGRAMMING
Abstract:In this master thesis predicting of rolled steel scrap using control line results is presented. The thesis focuses on the analysis of scrap due to surface defects on peeled round bars made from 30MnVS6 steel grade. Chemical composition of the melt, heat flux, speed casting during casting, using three strands continuous caster, and scrap percentage due to surface defects were monitored from September 2014 till May 2015. According to collected data the models using linear regression and genetic programming were obtained. Genetic programming model for predicting scrap percentage is 1.57-times better than the model obtained using linear regression. The results of the research are used in practice from middle of 2015. The 30MnVS6 scrap percentage is 3.09-times lower. Accordingly, the annual savings, at 12,000 t of 30MnVS6 production, amount 460,000 EUR.
Keywords:surface defects in rolling, molding, linear regression, genetic programming, forecast ejection, rolled steel


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