ABSTRACT
In addition to the optimal process parameters, machines, tools and materials have a significant impact on the successful execution of the plastic forming process in the machining system. All these elements of the processing system are important for achieving maximum productivity, optimal quality, and minimum production costs. Previous research and theoretical analysis of dies as executive elements have shown that any deviation that may occur on the plastic forming die during operation reflects on the quality of the product, which does not ensure competitiveness in the market. The durability of the die depends on several parameters, depending on the plastic forming process, macrogeometry of the die, microgeometry of the die working zone, die load, tribological condition of contact surfaces, etc. The research provided in this paper relates to the modeling of die loads in the cross tube hydroforming process using the genetic algorithm method.
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References
Mahmić, M., Karabegović, E.: Mathematical modeling of die load in the process of cross tube hydroforming. J. Technol. Plasticity 40(1), 47–55 (2015). Faculty of Technical Sciences, Novi Sad, Serbia. ISSN: 0354-3870-UDK 621.7
Jurković, M.: Matematičko modeliranje i optimizacija obradnih procesa, 1-411, Tehnički Fakultet Sveučilišta u Rijeci, Rijeka (1999). ISBN 953-6326-15-9
Brezočnik, M.: Uporaba genetskega programiranja v inteligentnih proizvodnih sistema, Fakultet za strojništvo, Maribor, Slovenija, Tiskarna Tehniških Fakultet, Maribor (2000)
Karabegović, E., Šemić, E., Poljak, J.: Control of hydroforming system of welded metal sheets. J. Technol. Plasticity 42(2), 23–31 (2017). Faculty of Technical Sciences, Novi Sad, Serbia, ISSN: 0354-3870-UDK 621.7. https://doi.org/10.24867/jtp.2017.42-2.23-22
Karabegović, E., Poljak, J.: Experimental modeling of fluid pressure during hydroforming of welded plates. Adv. Prod. Eng. Manag. 11(4), 345–354 (2016). Maribor, Slovenia, Journal home: apem-journal.org. ISSN 1854-6250. https://doi.org/10.14743/apem2016.4.232
Mahmić, M.: Modeliranje i optimizacija alata za plastično oblikovanje primjenom eksperimenta i baza znanja, Univerzitet u Bihaću, Tehnički fakultet Bihać, doktorska disertacija (2012)
Jurković, M., Brezočnik, M., Jurković, Z., Mahmić., M.: Stochastic and genetic modelling of tool life. In: Proceedings of the 11th TMT 2007 International Research/Expert Conference “Trends in the Development of Machinery and Associated Technology”, University of Zenica, Universitat Politechnica de Catalunya-Spain, Bahcesehir University Istanbul-Turkey, 75–79, Hammamet, Tunisia (2007). ISBN 978-9958-617-34-8
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Mahmić, M., Karabegović, E., Husak, E. (2022). Genetic Modeling of Die Load in Hydroforming of Cross Tube. In: Karabegović, I., Kovačević, A., Mandžuka, S. (eds) New Technologies, Development and Application V. NT 2022. Lecture Notes in Networks and Systems, vol 472. Springer, Cham. https://doi.org/10.1007/978-3-031-05230-9_46
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DOI: https://doi.org/10.1007/978-3-031-05230-9_46
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