Volume 32/2026
Science and expert articles
Development of Energy-Consumption Digital Twins for a Discrete Production Lines
Machine Learning and Artificial Intelligence in Smart Manufacturing Systems
The importance to consider advanced fluid properties in flow simulation of hydrostatic machines (Part 1)
Monitoring and prevention of the risk of deposit and varnish formation
Science and expert articles
Support with digital twins to enhance sustainability in assembly systems
Development of a digital twin of a progressive mechatronic stamping tool
Izr. prof. dr. Tomaž Pepelnjak, univ. dipl. inž., Univerza v Ljubljani, Fakulteta za strojništvo; Uroš Štuklek, univ. dip. ekon., Dafra kontakt tehnologija, d. o. o., Žalec; Albin Sirc, univ. dipl. inž., Egasi d. o. o., Radovljica, Dejan Rožič, mag. inž., Dafra kontakt tehnologija d. o. o., Žalec, Jure Peternel, univ. dipl. inž., Egasi d. o. o., Radovljica, Ema Stefanovska, mag. inž., Univerza v Ljubljani, Fakulteta za strojništvo


