Optimisation of the machining process using genetic algorithm

• Autorzy: Čuboňová Nadežda , Dodok Tomáš , Ságová Zuzana

Identyfikatory

DOI

10.20858/sjsutst.2019.104.2

• Języki publikacji: EN

Abstrakty

EN

This paper deals with genetic algorithms as an optimisation method and its use for optimisation of the machining process in the CAM system. Tool path verification and optimisation are two best ways of dramatically improving manufacturing operations while saving money with relatively little work. Genetic algorithms can be used for improvement of these operations and considerably reduce length of tool paths leading to the reduction of machine times and optimisation of cutting parameters. Provides the software application created to optimise processes of boring and local milling (Incomplete sentence; what or who provides).

Słowa kluczowe

EN

optimisation; genetic algorithms; CAM system

PL

optymalizacja; algorytmy genetyczne; system CAM

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Zeszyty Naukowe. Transport / Politechnika Śląska
• Rocznik: 2019
• Tom: z. 104
• Strony: 15--25
• Opis fizyczny: Bibliogr. 14 poz.

Twórcy

autor

Čuboňová Nadežda

• Faculty of Mechanical Engineering, University of Žilina, Univerzitná 8215/1, 010 26 Žilina, Slovak Republic

autor

Dodok Tomáš

• Faculty of Mechanical Engineering, University of Žilina, Univerzitná 8215/1, 010 26 Žilina, Slovak Republic

autor

Ságová Zuzana

• Faculty of Mechanical Engineering, University of Žilina, Univerzitná 8215/1, 010 26 Žilina, Slovak Republic

Bibliografia

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• 2. Bhoskar Trupti, Omkar K. Kulkarni, Ninad K. Kulkarni, Sujata L. Patekar, G.M. Kakandikar, V.M. Nandedkar. 2015. „Genetic algorithm and its applications to mechanical engineering: a review”. In: Materialstoday Proceeding, 4th International Conference on Materials Processing and Characterization 2 (4-5): 2624-2630. ISSN 2214-7853. DOI: https://doi.org/10.1016/j.matpr.2015.07.219.
• 3. Jakubovičová Lenka, Milan Sága. 2014. “Computational analysis of contact stress distribution in the case of mutual stewing of roller bearing rings”. Novel Trends in Production Devices and Systems, Applied Mechanics and Materials 474: 363-368. Zürich: TransTech Publications. ISBN 978-3-03785-944-5. ISSN 1660-9336.
• 4. Karpavičius Paulius, Vytautas Ostaševičius, Vytautas Jūrėnas, Jolantas Baskutienė. 2017. „Self-powered wireless sensor system application for cutting process control”. Mechanika 23(3): 456-461.
• 5. Kumar Abdhesh, Pachauri Praveen. 2012. „Optimization drilling sequence by genetic algorithm”. International Journal of Scientific and Research Publications 2(9): 1-7. ISSN 2250-3153.
• 6. Michalco Miroslav. 2009. “Implementácia genetických algoritmov pri riešení optimalizačných úloh technologických procesov”. PhD.thesis. ŽU v Žiline, SjF, KAVS. [In Slovak: Implementation of genetic algorithms into solving of optimization task. PhD.thesis. University in Žilina,Faculty of Mechanical Engineering].
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• 8. Michalewicz Zbigniew.1999. Genetic Algorithms+Data Structures=Evolution Programs. Berlin: Springer. ISBN 3-540-600679-9.
• 9. Nabeel Kadim Abid Al-Sahib, Abdulrazzaq Hasan Fahad. 2014. „Tool path optimization of drilling sequence in CNC machine using genetic algorithm”. Innovative Systems Design and Engineering 5(1): 15-26. ISSN 2222-1727.
• 10. Náprstkova Nataša. 2010.“Students connecting to production problems resolutions in CAD/CAM area”. In: 9th International Scientific Conference: Engineering for Rural Development: 310-314. Jelgava, 27.-28.05.2010. ISSN 1691-5976.
• 11. Ostasevicius V., V. Jurenas, A. Juskevicius. 2014. „Modified tool structures for effective cutting”. Mechanika 2: 171-176.
• 12. Sága Milan, Roman Bednár, Vaško Milan. 2011. „Contribution to modal and spectral interval finite element analysis”. In: 10th Biennial International Conference on Vibration Problems (ICOVP). Prague, Czech Rep. Book Series: Springer Proceedings in Physics 139: 269-274. DOI: 10.1007/978-94-007-2069-5_37.
• 13. Sága Milan, Milan Vaško, Nadežda Čuboňová, Wiesława Piekarska. 2016. Optimisation algorithms in mechanical engineering applications. Harlow: Pearson. ISBN 978-1-78449-135-2.
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Uwagi

PL

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).