Implementacija veštačke inteligencije u proizvodne tehnologije sa fokusom na mašinske materijale i polimere
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Jul 16, 2025
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Obrad Aničić
http://orcid.org/0009-0000-1958-6388
http://orcid.org/0009-0000-1958-6388
Apstrakt
U radu se razmatra kako implementacija veštačke inteligencije (VI) može unaprediti proizvodne tehnologije, posebno u obradi mašinskih materijala i polimera. Prikazane su konkretne primene, uključujući optimizaciju procesa brizganja polimera, adaptivne kontrole u CNC obradama, kao i predviđanja performansi kompozitnih materijala. Rad analizira i ekonomski aspekt implementacije VI, uz isticanje dugoročnih koristi, kao što su smanjenje otpada, energetska efikasnost i povećanje produktivnosti. Dobijeni rezultati pokazuju da VI nije samo alat za inovacije već i ključni faktor održivog razvoja u industriji.
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Kako citirati
ANIČIĆ, Obrad.
Implementacija veštačke inteligencije u proizvodne tehnologije sa fokusom na mašinske materijale i polimere.
Zbornik Međunarodnog kongresa o procesnoj industriji – Procesing, [S.l.], v. 38, n. 1, p. 143-152, july 2025.
Dostupno na: <https://izdanja.smeits.rs/index.php/ptk/article/view/8215>. Datum pristupa: 19 apr. 2026
Sekcija
Modelovanje i optimizacija procesnih i termoenergetskih postrojenja
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[3] Santos, R., & Ribeiro, F., Artificial Intelligence in Manufacturing: Applications and Challenges. Springer, (2020).
[4] Kumar, S., & Saini, R., Sustainable Manufacturing: Trends and Perspectives. Springer, (2019).
[5] Shah, R., & Ward, P. T., Lean Manufacturing: A Systematic Approach to Waste Reduction. Wiley, (2021).
[6] Bala, P., & Yadav, S., Advancements in Artificial Intelligence and Robotics: Industrial Applications and Emerging Technologies. Elsevier, (2018).
[7] Chung, W. H., & Lee, T. J., Polymer Processing and Manufacturing Technology. Wiley, (2022).
[8] Yin, R. K., & Zhang, Y., Smart Manufacturing: Technological Advances and Applications. Springer, (2017).
[9] Ahuja, V., & Kumar, P., Machining and Machine Tools: A Comprehensive Guide. CRC Press, (2021).
[10] Zhang, Z., & Wang, J., Sustainability in Manufacturing: Lean, Green and Digital Innovati-ons. Springer, (2018).
[11] Kalpakjian, S., & Schmid, S. R., Manufacturing Engineering and Technology. Pearson, (2021).
[12] Ghahramani, Z., Artificial Intelligence: A Modern Approach. MIT Press, (2019).
[13] Gibson, I., Rosen, D. W., & Stucker, B., Additive Manufacturing Technologies: 3D Printing, Rapid Prototyping, and Direct Digital Manufacturing. Springer, (2021).
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[15] Davim, J. P., Sustainable Machining and Manufacturing Technologies. Springer, (2022).
[16] Roberts, C., & Murray, D., Advanced Polymer Materials: Applications in Engineering and Manufacturing. Elsevier, (2020).
[17] Russell, S. J., & Norvig, P., Artificial Intelligence: A Modern Approach. Pearson, (2021).
[18] Berglund, A., & Dutta, P., AI in Polymer Science and Engineering. Springer, (2021).
[19] Bogue, R., Smart Materials in Manufacturing: AI Applications in Material Science. Instituti-on of Engineering and Technology, (2018).
[20] Florez, M., & Liu, Y., Data-Driven Materials Design and Processing with AI. Elsevier, (2023).
[21] Aničić, O., Jović, S., Skrijelj, H., & Nedić, B., Prediction of laser cutting heat affected zone by extreme learning machine. Optics and Lasers in Engineering, (2017), pp. 1–4. doi: https://dx.doi.org/10.1016/j.optlaseng.2016.07.005
[22] Aničić, O., Artificial Neural Network Implementation In Machining & Manufacturing. LAP LAMBERT Academic Publishing, (2021). ISBN-13: 978-620-4-71919-1.