Computer aided design

• basic knowledge of technical drawing, descriptive geometry, computer aided design and
• using computer aided design software for contemporary engineering tasks.

Core participation requirements are basics of computer knowledge from the “Basics of computer knowledge and foreign language (English)” course.

Technical drawing basics
Descriptive geometry basics
Computer aided design basics

Students will master:
- basis of descriptive geometry
- 2D drawing,
- 3D modeling,
- rendering (image generation),
- animation and
- programming within used CAD software.

• Ivan Jovan: Tehnično risanje in dokumentacija, 2011 E-version
• Ivan Prebil: Opisna geometrija: potrebna znanja za pravilno risanje - osnove tehničnega risanja, 2006
• Marjan Lep, Sergej Težak: Geometrijsko modeliranje z opisno geometrijo, 2008
• Deskriptivna geometrija. E-version
• Bojan Dolšak, Marina Novak: Konstruiranje za proizvodnjo, 2008

• Written exam, which assesses knowledge of the implementation of concepts of basic principles of control-systems analysis and design. - With demonstration of working with selected CAD software the practical work with selected software is assessed. 40/60

Associate professor Miha Kovačič graduated in 2000 on Faculty of mechanical engineering, University of Maribor. At that time he was employed as young researcher in Laboratory for intelligent manufacturing systems at Faculty of mechanical engineering in Maribor. In 2002 he passed doctoral exam. In 2004 he received his doctorate and became researcher in steel-plant ŠTORE STEEL d.o.o. From 2011 until 2015 he was a Quality manager and was responsible for three laboratories. Until 2016 he works as the Head of the research and development department in the same company. In 2005 he received research reward for the best doctoral thesis from TRIMO TREBNJE company. From 2006 he contractually works for KOVA d.o.o. From 2008 until 2014 he worked in Laboratory for Multiphase Processes, University of Nova Gorica. From 2015 until 2018 he worked also in Institute of metals and technologies in Ljubljana. Until 2019 he is employed at Faculty of mechanical engineering in University of Ljubljana as assistant with PhD.

In 2007 he was habilitated as assistant professor on area of manufacturing technologies and systems at Faculty of mechanical engineering in Maribor and from 2012 he was habilitated again on mechanical engineering at School of Engineering and Management, University of Nova Gorica. In 2017 he was habilitated as associate professor at College of industrial engineering in Celje.

His research scientific areas are mechanical engineering (machining, control and programming of NC machines), metallurgy, medicine and computer science (modeling and optimization of system with artificial intelligence methods – genetic programming and algorithms).

According to COBISS methodology his bibliography counts 225 units. His author of 64 original scientific papers, 44 out of them within JCR journals with impact factor. He has 589 normalized citations (WoS).

On the list of genetic programming bibliography he ranks 16 out of 13751 authors (http://www.cs.bham.ac.uk/~wbl/biblio/gp-html/).

Bibliography:

1. KOVAČIČ, Miha, LEŠER, B., BREZOČNIK, Miran. Modelling and optimization of sulfur addition during 70MnVS4 steelmaking: An industrial case study. Advances in production engineering & management, ISSN 1854-6250, June 2021, vol. 16, no. 2, str. 253-261, ilustr., doi: 10.14743/apem2021.2.398.

2. GANTAR, Gašper, GÖNCZ, Péter, KOVAČIČ, Miha. Optimization of press-fit processes = Optimizacija postopkov montaže z vtiskovanjem. Materiali in tehnologije, ISSN 1580-2949. [Tiskana izd.], mar.-apr. 2021, letn. 55, št. 2, str. 207-212, ilustr. https://mater-tehnol.si/index.php/MatTech/article/view/120/35, doi: 10.17222/mit.2020.100.

3. KOVAČIČ, Miha, SALIHU, Shpetim, GANTAR, Gašper, ŽUPERL, Uroš. Modeling and optimization of steel machinability with genetic programming: Industrial study. Metals, ISSN 2075-4701, Mar. 2021, vol. 11, iss. 3 (426), str. 1-13, doi: 10.3390/met11030426.

4. BABIČ, Matej, PETROVIČ, Dušan, SODNIK, Jošt, SOLDO, Božidar, KOMAC, Marko, CHERNIEVA, Olena, KOVAČIČ, Miha, MIKOŠ, Matjaž, CALÌ, Michele. Modeling and classification of alluvial fans with DEMs and machine learning methods : a case study of Slovenian torrential fans. Remote sensing, ISSN 2072-4292, 2021, letn. 13, št. 9/1711, str. 1-18, ilustr. https://www.mdpi.com/2072-4292/13/9/1711, doi: 10.3390/rs13091711.

5. KOVAČIČ, Tine, KOVAČIČ, Miha, OVSENIK, Rok, ZURC, Joca. The impact of multicomponent programmes on balance and fall reduction in adults with intellectual disabilities : a randomised trial. Journal of intellectual disability research, ISSN 0964-2633, May 2020, vol. 64, part 5, str. 381-394, ilustr., doi: 10.1111/jir.12727.

6. ŽUPERL, Uroš, IRGOLIČ, Tomaž, KOVAČIČ, Miha. Minimum depth of milling to obtain the desired surface roughness in multi-layer materials = Minimalna globina frezanja za dosego želene hrapavosti površine pri večslojnih materialih. Materiali in tehnologije, ISSN 1580-2949. [Tiskana izd.], 2020, letn. 54, št. 6, str. 747-753, ilustr. http://mit.imt.si/izvodi/mit206/zuperl.pdf, doi: 10.17222/mit.2019.263.

7. GRAČNAR, Anemari, KOVAČIČ, Miha, BREZOČNIK, Miran. Decreasing of guides changing with pass design optimization on continuous rolling mill using a genetic algorithm. Materials and manufacturing processes, ISSN 1042-6914, May 2020, vol. 35, iss. 6 (Spec. iss.), str. 663-667, doi: 10.1080/10426914.2019.1645337.

8. SALIHU, Shpetim, KOVAČIČ, Miha, ŽUPERL, Uroš. Investigation and modeling of cutting tool temperature in turning of inconel 625 steel by using taguchi method and long short term memory network. Proceedings in manufacturing systems, ISSN 2067-9238. [Print ed.], 2020, vol. 15, iss.2, str. 59-64, ilustr. http://icmas.eu/Journal_archive_files/Vol_15-Issue2-2020_PDF/59-64_SALIHU.pdf.

9. KOVAČIČ, Miha, ĐUKIĆ, Goran, GAJŠEK, Brigita, STOPAR, Klemen. CAD based electric transporter path planning and production storage optimization using genetic algorithm - industrial case study. Tehnički glasnik, ISSN 1846-6168, 2020, [Vol.] 14, [iss.] 2, str. 174-179, ilustr. https://doi.org/10.31803/tg-20200523200341, doi: 10.31803/tg-20200523200341.

10. KOVAČIČ, Miha, STOPAR, Klemen, VERTNIK, Robert, ŠARLER, Božidar. Comprehensive electric arc furnace electric energy consumption modeling : a pilot study. Energies, ISSN 1996-1073, Jun. 2019, vol. 12, iss. 11, f. 1-13, ilustr. https://www.mdpi.com/1996-1073/12/11/2142, doi: 10.3390/en12112142.

11. KOVAČIČ, Miha, MIHEVC, Andrej, TERČELJ, Milan. Roll wear modeling using genetic programming - industry case study = Modeliranje obrabe valjev z genetskim programiranjem - primer iz industrije. Materiali in tehnologije, ISSN 1580-2949. [Tiskana izd.], 2019, letn. 53, št. 3, str. 319-325, ilustr. http://mit.imt.si/Revija/izvodi/mit193/kovacic.pdf, doi: 10.17222/mit.2018.104.

12. KOVAČIČ, Miha, BREZOČNIK, Miran. Reduction of surface defects and optimization of continuous casting of 70MnVS4 steel. International journal of simulation modelling, ISSN 1726-4529, 2018, vol. 17, no. 4, str. 667-676, doi: 10.2507/IJSIMM17(4)457.

13. KOVAČIČ, Miha, BREZOČNIK, Miran. A universal CAD system for cutting stock problem. International journal of simulation modelling, ISSN 1726-4529, June 2017, vol. 16, no. 2, str. 302-312, doi: 10.2507/IJSIMM16(2)10.387.

14. STOPAR, Klemen, KOVAČIČ, Miha, KITAK, Peter, PIHLER, Jože. Electric arc modeling of the EAF using differential evolution algorithm. Materials and manufacturing processes, ISSN 1042-6914, 2017, vol. 32, iss. 10, str. 1189-1200, doi: 10.1080/10426914.2016.1257859.

15. KOVAČIČ, Miha, DOLENC, Franjo. Prediction of the natural gas consumption in chemical processing facilities with genetic programming. Genetic programming and evolvable machines, ISSN 1389-2576. [Print ed.], 2016, vol. 17, iss. 3, 231-249 str., ilustr., doi: 10.1007/s10710-016-9264-x.

16. KOVAČIČ, Miha, NOVAK, Damir. Prediction of the chemical non-homogeneity of 30MnVS6 billets with genetic programming = Napovedovanje nehomogenosti kemijske sestave pri gredicah 30MnVS6 s pomočjo genetskega programiranja. Materiali in tehnologije, ISSN 1580-2949. [Tiskana izd.], 2016, letn. 50, št. 1, str. 69-74, ilustr. http://mit.imt.si/Revija/izvodi/mit161/kovacic.pdf, doi: 10.17222/mit.2014.280.

17. KOVAČIČ, Miha, ŠARLER, Božidar, ŽUPERL, Uroš. Natural gas consumption prediction in Slovenian industry - a case study = Napovedovanje odjema zemeljskega plina v slovenski industriji - študija primera. RMZ - Materials and geoenvironment : periodical for mining, metallurgy and geology, ISSN 1408-7073. [Tiskana izd.], July 2016, vol. 63, no. 2, str. 91-96, ilustr. https://www.degruyter.com/downloadpdf/j/rmzmag.2016.63.issue-2/rmzmag-2016-0008/rmzmag-2016-0008.xml, doi: 10.1515/rmzmag-2016-0008.