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scientific master's theses
Simulacijsko modeliranje procesa toplog valjanja aluminijskih traka
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2005. urn:nbn:hr:168:402486
Tomašić, Ivan
University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Electronics, Microelectronics, Computer and Intelligent Systems

Institutional repository: FER Repository

Cite this document

Tomašić, I. (2005). Simulacijsko modeliranje procesa toplog valjanja aluminijskih traka (Scientific master's theses). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:402486

Tomašić, Ivan. "Simulacijsko modeliranje procesa toplog valjanja aluminijskih traka." Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, 2005. https://urn.nsk.hr/urn:nbn:hr:168:402486

Tomašić, Ivan. "Simulacijsko modeliranje procesa toplog valjanja aluminijskih traka." Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, 2005. https://urn.nsk.hr/urn:nbn:hr:168:402486

Tomašić, I. (2005). 'Simulacijsko modeliranje procesa toplog valjanja aluminijskih traka', Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 07 May 2024, https://urn.nsk.hr/urn:nbn:hr:168:402486

Tomašić I. Simulacijsko modeliranje procesa toplog valjanja aluminijskih traka [Scientific master's theses]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2005 [cited 2024 May 07] Available at: https://urn.nsk.hr/urn:nbn:hr:168:402486

I. Tomašić, "Simulacijsko modeliranje procesa toplog valjanja aluminijskih traka", Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2005. Available at: https://urn.nsk.hr/urn:nbn:hr:168:402486

Metadata
TitleSimulacijsko modeliranje procesa toplog valjanja aluminijskih traka
AuthorIvan Tomašić
MentorLeo Budin (mentor)
Committee memberMario Žagar (predsjednik povjerenstva)
Committee memberLeo Budin (član povjerenstva)
Committee memberŽeljko Hocenski (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
(Department of Electronics, Microelectronics, Computer and Intelligent Systems)
Zagreb
Defense date and country2005-01-19, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Universal decimal classification
(UDC)		621.3 - Electrical engineering
004 - Computer science and technology. Computing. Data processing
Abstract
Bitna tehnološka karakteristika toplo valjane trake je njen profil. Za ostvarivanje željenog profila valjaoničari se često služe matematičkim modelima valjačkog stroja koji nisu savršeni. Ovaj rad prezentira mogućnosti korištenja neuronskih mreža u svrhu modeliranja tog procesa. Prezentirano je modeliranje sile valjanja i profila izvaljane trake neuronskom mrežom. Izlaz iz mreže koja modelira silu je iskorišten kao ulaz u neuro-matematičkom modelu za izračun profila valjane trake. Simulacijski rezultati koje daje neuronska mreža za predikciju profila izvaljane trake su više nego zadovoljavajući, dok su rezultati koje daje neuronska mreža za predikciju sile izvrsni. Rezultati koje daje miješani neuro-matematički model nisu zadovoljavajući jer model nije dobar. To pokazuje koliko je teško matematički modelirati taj kompleksni proces i dodatno opravdava primjenu neuronskih mreža u modeliranju procesa toplog valjanja aluminijskih traka.
Abstract (english)
Important technological requirement of rolling process is strip profile. To ensure desired strip profile mathematical model of plant is often used. Mathematical models of this complex process are not perfect. In this work, application of neural networks for purpose of modeling rolling process is discussed. Modeling of rolling force and strip profile has been presented in this work. Output from network that models force is used as an input to mixed neuro-mathematical model for strip profile calculation. Simulation results from network that predicts profile are more than satisfactory. Results from neural network for force prediction are excellent. Simulation results from neuro-mathematical model are not satisfactory because model is not precise. That proves how difficult is to model this complex process and even more justifies neural network application in modeling process of hot rolling of aluminium.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:402486
Study programmeTitle: Postgraduate master programe in computing
Study programme type: university
Study level: postgraduate
Academic / professional title: magistar inženjer računarstva (magistar inženjer računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
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Created on2019-06-26 08:31:35