Razvoj veštačke inteligencije u tehnologijama proizvodnje: neuronske mreže u obradi, 3D modeliranju i laserima

##plugins.themes.bootstrap3.article.sidebar##

PDF
Objavljeno Jul 16, 2025

##plugins.themes.bootstrap3.article.main##

Obrad Aničić
Akademija strukovnih studija Politehnika, Beograd
http://orcid.org/0009-0000-1958-6388

Apstrakt

U radu se razmatra primena veštačke inteligencije u modernizaciji tehnologija proizvodnje, sa posebnim fokusom na upotrebu neuronskih mreža u procesima sečenja, 3D modeliranju i primeni lasera. Upotreba veštačke inteligencije (VI) u industriji ima potencijal da značajno unapredi preciznost, efikasnost i isplativost proizvodnih procesa. Neuronske mreže omogućavaju optimizaciju parametara u realnom vremenu, dok 3D modeliranje i laseri olakšavaju visokoprecizne operacije koje je teško postići konvencionalnim metodama.


Ovaj rad pruža detaljnu analizu kako integracija ovih tehnologija unapređuje proizvodne lance, nudeći sveobuhvatan pregled metodologije, analizu rezultata i prednosti implementacije VI u industriji. Kroz eksperimente i simulacije, istražuje se efikasnost primene VI u rešavanju stvarnih izazova u proizvodnji, pri čemu rezultati pokazuju značajan napredak u optimizaciji proizvodnje i smanjenju ljudskih grešaka.

##plugins.themes.bootstrap3.article.details##

Kako citirati
ANIČIĆ, Obrad. Razvoj veštačke inteligencije u tehnologijama proizvodnje: neuronske mreže u obradi, 3D modeliranju i laserima. Zbornik Međunarodnog kongresa o procesnoj industriji – Procesing, [S.l.], v. 38, n. 1, p. 161-168, july 2025. Dostupno na: <https://izdanja.smeits.rs/index.php/ptk/article/view/8217>. Datum pristupa: 15 mar. 2026
ABNT APA BibTeX CBE EndNote - EndNote format (Macintosh & Windows) MLA ProCite - RIS format (Macintosh & Windows) RefWorks Reference Manager - RIS format (Windows only) Turabian
Broj časopisa
God. 38 Br. 1 (2025): 38. Međunarodni kongres o procesnoj industriji
Sekcija
Modelovanje i optimizacija procesnih i termoenergetskih postrojenja
Creative Commons License

Ovaj rad je pod Creative Commons Autorstvo-Nekomercijalno-Deli pod istim uslovima 4.0 Internacionalna licenca.

Reference

[1] Hussain, M., & Zhao, L., "Artificial Intelligence in Manufacturing: Opportunities and Chal-lenges", Procedia CIRP, (2018).
[2] Duflou, J. R., & Lutters, D., "Artificial Intelligence in Manufacturing: Applications and Pro-spects", CIRP Annals, (2017).
[3] Yang, C., & Zhang, Y., "Application of Neural Networks in CNC Machine Tool Control", Journal of Manufacturing Science and Engineering, (2020).
[4] Zhang, L., & Liu, J., "The Role of Artificial Intelligence in Modern Manufacturing Sys-tems", International Journal of Advanced Manufacturing Technology, (2022).
[5] Kukreja, S., & Chauhan, S. S., "Optimization Techniques Using Artificial Intelligence for CNC Machines", International Journal of Machine Tools and Manufacture, (2019).
[6] Zhu, Z., & Xu, S., "Application of AI and Machine Learning in 3D Printing and Additive Manufacturing", Additive Manufacturing, (2019).
[7] Kong, L., & Xie, S., "Advances in Neural Networks for Manufacturing Process Optimiza-tion", International Journal of Computational Methods in Engineering Science and Mechan-ics, (2021).
[8] Bhat, R. S., & Sahu, P. K., "Artificial Intelligence in Precision Machining and Its Industrial Applications", Journal of Manufacturing Processes, (2021).
[9] Pereira, R., & Marques, A. A., "Integration of Machine Learning and Deep Learning in the Manufacturing Sector", Advances in Mechanical Engineering, (2019).
[10] Gao, Z., & Zhang, J., "Smart Manufacturing and AI-Driven Process Optimization in Industry 4.0", Journal of Intelligent Manufacturing, (2020).
[11] Singh, S., & Kumar, S., "Artificial Neural Networks for Predictive Maintenance and Process Optimization in Manufacturing", Materials Today: Proceedings, (2020).
[12] Wang, Y., & Zhang, X., "Application of AI in 3D Modeling and Rapid Prototyping: An Overview", Journal of Manufacturing Science and Engineering, (2021).
[13] Yang, S., & Yang, X., "Neural Networks for Adaptive Control in CNC Machining: Current Trends and Future Directions", Procedia CIRP, (2022).
[14] Liu, X., & Zhang, H., "Intelligent Manufacturing and AI: Challenges and Opportunities", Journal of Intelligent & Robotic Systems, (2018).
[15] Chen, H., & Wang, F., "Deep Learning for 3D Model Generation and Optimization in Manu-facturing", Journal of Manufacturing Processes, (2020).
[16] Tao, F., & Zhang, L., "Artificial Intelligence in Digital Twin and Smart Manufacturing", Journal of Manufacturing Science and Engineering, (2020).
[17] Shah, S., & Rajpurohit, R., "Optimization of Cutting Parameters in CNC Machines Using Machine Learning Algorithms", Procedia CIRP, (2019).
[18] Li, C., & Zhang, T., "AI-Driven Process Monitoring and Quality Control in CNC Machin-ing", Journal of Materials Processing Technology, (2021).
[19] Aničić, O., Artificial Neural Network Implementation In Machining & Manufacturing. LAP LAMBERT Academic Publishing, (2021). ISBN-13: 978-620-4-71919-1.