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"Branislav Sredanović"
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Energy consumption model of the face milling (2021-05)
S. Tešić, Đ. Čiča, M. Zeljković, S. Borojević, B. Sredanović, G. Jotić, Energy consumption model of the face milling, Proceedings of 15th International Conference on Accomplishments in Mechanical and Industrial Engineering DEMI 2021, pp. 89 - 93, May, 2021 -
Experimental analysis and optimization of thin-walled tubular parts milling (2021-09)
B. Sredanović, Đ. Čiča, S. Borojević, S. Tešić, D. Kramar, Experimental analysis and optimization of thin-walled tubular parts milling, Proceeding of 14th International Scientific Conference MMA 2018, pp. 31 - 36, Sep, 2021 -
Influence of cutting parameters on the tool life in end milling of biocompatible titanium alloy Ti6-Al4-V (2021-10)
S. Tešić, M. Zeljković, Đ. Čiča, S. Borojević, B. Sredanović, Influence of cutting parameters on the tool life in end milling of biocompatible titanium alloy Ti6-Al4-V, Proceedings of 38th International Conference on Production Engineering Serbia ICPE 2021, pp. 96 - 101, Oct, 2021 -
Education of production engineers for Industry 4.0 (2022-05)
M. Sekulić, M. Milošević, A. Aleksić, S. Borojević, B. Sredanović, Education of production engineers for Industry 4.0, Proceedings of 10th International Scientific Conference on machine design in the context of Industry 4.0 intelligent products IRMES 2022, pp. 91 - 96, May, 2022 -
Projektovanje i verifikacija grupnog tehnološkog postupka za operaciju struganja (2022-10)
S. Borojević, Đ. Čiča, B. Sredanović, S. Tešić, M. Ćulum, Projektovanje i verifikacija grupnog tehnološkog postupka za operaciju struganja, Zbornik radova sa 43. JUPITER konferencije, pp. 11 - 16, Oct, 2022 -
Production engineering curriculum in the context of Industry 4.0 – current state of art and necessary changes in AP of Vojvodina and Republic of Srpska (2022-12)
M. Sekulić, M. Milošević, S. Borojević, B. Sredanović, A. Aleksić, J. Ilić, Production engineering curriculum in the context of Industry 4.0 – current state of art and necessary changes in AP of Vojvodina and Republic of Srpska, Proceedings of VII International Scientific Conference Industry 4, pp. 277 - 280, Dec, 2022 -
Obrazovanje inženjera proizvodnog mašinstva za Industriju 4.0 – izazovi, šanse, mogućnosti (2023-02)
M. Sekulić, M. Milošević, A. Aleksić, S. Borojević, B. Sredanović, Obrazovanje inženjera proizvodnog mašinstva za Industriju 4.0 – izazovi, šanse, mogućnosti, Zbornik radova sa XXIX skupa trendovi razvoja, Univerzitet pred novim izazovima TREND 2023, pp. 222 - 225, Feb, 2023 -
Energy consumption analysis and parameter optimization in high-feed milling operation (2023-06)
B. Sredanović, Đ. Čiča, S. Borojević, S. Tešić, D. Jokić, D. Kramar, Energy consumption analysis and parameter optimization in high-feed milling operation, Proceedings of 15th International Conference on Accomplishments in Mechanical and Industrial Engineering DEMI 2023, pp. 41 - 46, Jun, 2023 -
Capability of micro-milling in machining of difficult-to-cut materials (2023-12)
B. Sredanović, Đ. Čiča, S. Borojević, S. Tešić, D. Kramar, Capability of micro-milling in machining of difficult-to-cut materials, Proceedings of VI International Scientific Conference Industry 4.0, pp. 220 - 223, Dec, 2023 -
Identification of contact parameters of a spindle-holder-tool assembly using artificial neural networks (2012)
Đ. Čiča, M. Zeljković, G. Globočki-Lakić, B. Sredanović, S. Borojević, Identification of contact parameters of a spindle-holder-tool assembly using artificial neural networks, Journal of production engineering, Vol. 15, No. 2, pp. 37 - 40, 2012 -
Modelling of dynamical behavior of a spindle-holder-tool assembly (2012)
Đ. Čiča, M. Zeljković, G. Globočki-Lakić, B. Sredanović, Modelling of dynamical behavior of a spindle-holder-tool assembly, STROJARSTVO, Vol. 54, No. 2, pp. 135 - 144, 2012 -
Contribution to material machinability definition (2012-06)
D. Kramar, B. Sredanović, G. Globočki-Lakić, J. Kopač, Contribution to material machinability definition, Journal of production engineering, Vol. 15, No. 2, pp. 27 - 32, Jun, 2012 -
Modeling of the Cutting Forces in Turning Process Using Various Methods of Cooling and Lubricating: An Artificial Intelligence Approach (2013-04)
Dj. Cica, B. Sredanovic, G. Globocki-Lakic, D. Kramar, Modeling of the Cutting Forces in Turning Process Using Various Methods of Cooling and Lubricating: An Artificial Intelligence Approach, Advances in Mechanical Engineering , Vol. 2013, pp. 1 - 8, Apr, 2013 -
Experimental research using of MQL in metal cutting (2013-06)
G. Globočki-Lakić, B. Sredanović, D. Kramar, B. Nedić, J. Kopač, Experimental research using of MQL in metal cutting, TRIBOLOGY IN INDUSTRY, Vol. 35, No. 4, pp. 276 - 258, Jun, 2013 -
Prediction of cutting zone temperature in high-pressure assisted turning using GA and PSO based ANN (2014)
Dj. Cica, B. Sredanovic, D. Kramar, Prediction of cutting zone temperature in high-pressure assisted turning using GA and PSO based ANN, Journal of production engineering, Vol. 17, No. 1, pp. 43 - 46, 2014 -
Comparative Study of ANN and ANFIS Prediction Models For Turning Process in Different Cooling and Lubricating Conditions (2015-05)
B. Sredanovic, Dj. Cica, Comparative Study of ANN and ANFIS Prediction Models For Turning Process in Different Cooling and Lubricating Conditions, International Journal of Materials and Manufacturing, Vol. 8, No. 2, pp. 586 - 591, May, 2015 -
Dynamic analysis of spindle-holder-tool assembly (2016)
Dj. Cica, M. Zeljkovic, B. Sredanovic, S. Borojevic, Dynamic analysis of spindle-holder-tool assembly, Machine Design, Vol. 8, No. 2, pp. 53 - 56, 2016 -
Analysis of Micro-Milling of Hardened Tool Steel (2016-01)
B. Sredanović, G. Globočki-Lakić, D. Kramar, Ј. Kopač, Analysis of Micro-Milling of Hardened Tool Steel, Key Engineering Materials, Vol. 686, pp. 57 - 62, Jan, 2016 -
Design of fuzzy expert system for predicting of surface roughness in high-pressure jet assisted turning using bioinspired algorithms (2016-02)
D. Kramar, Dj. Cica, B.Sredanovic, J. Kopac, Design of fuzzy expert system for predicting of surface roughness in high-pressure jet assisted turning using bioinspired algorithms, AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFAC, Vol. 30, No. 1, pp. 96 - 106, Feb, 2016 -
Estimation of cutting forces in high pressure jet assisted turning using PSO and SA based approach (2017)
Dj. Cica, B. Sredanovic, D. Kramar, Estimation of cutting forces in high pressure jet assisted turning using PSO and SA based approach, International Journal "Machines, Technologies, Materials", Vol. 4, pp. 186 - 190, 2017