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Dragan Rodic
Dragan Rodic
University of Novi Sad, Faculty of Technical Sciences, Department for Production Engineering
E-mail confirmado em uns.ac.rs
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Application of fuzzy logic and regression analysis for modeling surface roughness in face milliing
P Kovac, D Rodic, V Pucovsky, B Savkovic, M Gostimirovic
Journal of Intelligent manufacturing 24, 755-762, 2013
1662013
Comparison of artificial neural network, fuzzy logic and genetic algorithm for cutting temperature and surface roughness prediction during the face milling process
B Savkovic, P Kovac, D Rodic, B Strbac, S Klancnik
Adv. Prod. Eng. Manag 15 (2), 137-150, 2020
412020
Using the temperature method for the prediction of tool life in sustainable production
P Kovac, M Gostimirovic, D Rodic, B Savkovic
Measurement 133, 320-327, 2019
382019
Multi-output fuzzy inference system for modeling cutting temperature and tool life in face milling
P Kovac, D Rodic, V Pucovsky, B Savkovic, M Gostimirovic
Journal of Mechanical Science and Technology 28, 4247-4256, 2014
382014
Investigation of cutting and specific cutting energy in turning of POM-C using a PCD tool: Analysis and some optimization aspects
M Trifunović, M Madić, P Janković, D Rodić, M Gostimirović
Journal of Cleaner Production 303, 127043, 2021
372021
Application of an adaptive “neuro-fuzzy” inference system in modeling cutting temperature during hard turning
B Savkovic, P Kovac, B Dudic, D Rodic, M Taric, M Gregus
Applied Sciences 9 (18), 3739, 2019
292019
Evolutionary optimization of jet lag in the abrasive water jet machining
M Gostimirovic, V Pucovsky, M Sekulic, D Rodic, V Pejic
The International Journal of Advanced Manufacturing Technology 101, 3131-3141, 2019
272019
A review of artificial intelligence approaches applied in intelligent processes
P Kovač, D Rodić, V Pucovski, I Mankova, B Savkovic, M Gostimirović
Journal of Production engineering 15 (1), 1-6, 2012
222012
Fuzzy logic and sub-clustering approaches to predict main cutting force in high-pressure jet assisted turning
D Rodić, M Sekulić, M Gostimirović, V Pucovsky, D Kramar
Journal of Intelligent Manufacturing 32, 21-36, 2021
202021
Comparative characteristics of ductile iron and austempered ductile iron modeled by neural network
B Savkovic, P Kovac, B Dudic, M Gregus, D Rodic, B Strbac, N Ducic
Materials 12 (18), 2864, 2019
202019
Inverse electro-thermal analysis of the material removal mechanism in electrical discharge machining
M Gostimirovic, M Radovanovic, M Madic, D Rodic, N Kulundzic
The International Journal of Advanced Manufacturing Technology 97, 1861-1871, 2018
192018
An experimental analysis of cutting quality in plasma arc machining
M Gostimirović, D Rodić, M Sekulić, A Aleksić
Adv. Technol. Mater. 45, 1-8, 2020
162020
Investigation of the cutting forces in creep-feed surface grinding process
M Gostimirović, D Rodić, P Kovač, D Jesić, N Kulundžic
Journal of Production Engineering 18 (1), 21-24, 2015
162015
Application of fuzzy logic in the analysis of surface roughness of thin-walled aluminum parts
J Vukman, D Lukic, S Borojevic, D Rodic, M Milosevic
International Journal of Precision Engineering and Manufacturing 21, 91-102, 2020
152020
Comparison of fuzzy logic and neural network for modelling surface roughness in EDM
D Rodic, M Gostimirovic, P Kovac, M Radovanovic, B Savkovic
International Journal of Recent Advances in Mechanical Engi, 2014
152014
Application of fuzzy logic and regression analysis for modeling surface roughness in face milling
P Kovač, D Rodić, V Pucovsky, B Savković, M Gostimirović
Journal of Intelligent manufacturing 24 (4), 755-762, 2013
152013
Fuzzy model-based optimal energy control during the electrical discharge machining
D Rodic, M Gostimirovic, M Madic, M Sekulic, A Aleksic
Neural Computing and Applications 32, 17011-17026, 2020
122020
Mathematical modelling of the CO2 laser cutting process using genetic programming
M Madić, M Gostimirović, D Rodić, M Radovanović, M Coteaţă
Facta Universitatis, Series: Mechanical Engineering 20 (3), 665-676, 2022
112022
Analysis of characteristics of non-commercial software systems for assessing flatness error by means of minimum zone method
B Štrbac, B Mikó, D Rodić, J Nagy, M Hadžistević
Tehnički vjesnik 27 (2), 535-541, 2020
92020
Predicting of machining quality in electric discharge machining using intelligent optimization techniques
D Rodic, M Gostimirovic, P Kovac, I Mankova, V Pucovsky
International Journal of Recent advances in Mechanical Engineering (IJMECH) 3, 2, 2014
92014
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