TY  - CONF
AU  - Gajević, Sandra
AU  - Miladinović, Slavica
AU  - Džunić, Dragan
AU  - Stojanović, Blaža
AU  - Vencl, Aleksandar
PY  - 2023
UR  - http://tribolab.mas.bg.ac.rs/radovi/2023_03.pdf
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/7338
AB  - This paper provides a brief overview on the mechanical and tribological properties of aluminiumbased composites reinforced with various nanoparticles. The amount of reinforcement was, most often, up to 5 % (vol. or wt.). Based on the reviewed results, it can be observed that by increasing the amount of reinforcement, properties such as hardness and density increase significantly. Tribological tests were performed mostly on pin-on-disc tribometers under dry sliding conditions. Composites reinforced with ceramic nanoparticles such as Al2O3, SiC, TiC, TiO2 and TiB2 showed a higher wear resistance than their matrix alloys. The microstructure of the nanocomposites and morphology of the worn surfaces were in most cases studied by scanning electron microscopy (SEM), transmission electron microscopy (TEM) and energy dispersive spectroscopy (EDS).
C3  - 18th International Conference on Tribology – SERBIATRIB '23, Kragujevac (Serbia), 17-19.05.2023, Proceedings
T1  - A review on mechanical and tribological properties of aluminium-based metal matrix nanocomposites
EP  - 230
SP  - 226
UR  - https://hdl.handle.net/21.15107/rcub_machinery_7338
ER  - 

@conference{
author = "Gajević, Sandra and Miladinović, Slavica and Džunić, Dragan and Stojanović, Blaža and Vencl, Aleksandar",
year = "2023",
abstract = "This paper provides a brief overview on the mechanical and tribological properties of aluminiumbased composites reinforced with various nanoparticles. The amount of reinforcement was, most often, up to 5 % (vol. or wt.). Based on the reviewed results, it can be observed that by increasing the amount of reinforcement, properties such as hardness and density increase significantly. Tribological tests were performed mostly on pin-on-disc tribometers under dry sliding conditions. Composites reinforced with ceramic nanoparticles such as Al2O3, SiC, TiC, TiO2 and TiB2 showed a higher wear resistance than their matrix alloys. The microstructure of the nanocomposites and morphology of the worn surfaces were in most cases studied by scanning electron microscopy (SEM), transmission electron microscopy (TEM) and energy dispersive spectroscopy (EDS).",
journal = "18th International Conference on Tribology – SERBIATRIB '23, Kragujevac (Serbia), 17-19.05.2023, Proceedings",
title = "A review on mechanical and tribological properties of aluminium-based metal matrix nanocomposites",
pages = "230-226",
url = "https://hdl.handle.net/21.15107/rcub_machinery_7338"
}

Gajević, S., Miladinović, S., Džunić, D., Stojanović, B.,& Vencl, A.. (2023). A review on mechanical and tribological properties of aluminium-based metal matrix nanocomposites. in 18th International Conference on Tribology – SERBIATRIB '23, Kragujevac (Serbia), 17-19.05.2023, Proceedings, 226-230.
https://hdl.handle.net/21.15107/rcub_machinery_7338

Gajević S, Miladinović S, Džunić D, Stojanović B, Vencl A. A review on mechanical and tribological properties of aluminium-based metal matrix nanocomposites. in 18th International Conference on Tribology – SERBIATRIB '23, Kragujevac (Serbia), 17-19.05.2023, Proceedings. 2023;:226-230.
https://hdl.handle.net/21.15107/rcub_machinery_7338 .

Gajević, Sandra, Miladinović, Slavica, Džunić, Dragan, Stojanović, Blaža, Vencl, Aleksandar, "A review on mechanical and tribological properties of aluminium-based metal matrix nanocomposites" in 18th International Conference on Tribology – SERBIATRIB '23, Kragujevac (Serbia), 17-19.05.2023, Proceedings (2023):226-230,
https://hdl.handle.net/21.15107/rcub_machinery_7338 .

TY  - JOUR
AU  - Miladinović, Slavica
AU  - Stojanović, Blaža
AU  - Gajević, Sandra
AU  - Vencl, Aleksandar
PY  - 2023
UR  - https://link.springer.com/article/10.1007/s12633-022-02216-2
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/7323
AB  - Fast development of automotive industry increases demands in terms of fuel efficiency, reduction of weight and increased reliability of constructions. Nowadays major materials for production of pistons are cast iron, Aluminum–Silicon (Al-Si) alloys and some composites. Use of hypereutectic Al-Si alloys is increasing in automobile and aerospace industry. Application of hypereutectic Al-Si alloys with more than 12wt.% of Si is due to their properties like good thermal and electrical conductivity, high strength to weight ratio, good corrosion resistance and others. Higher Si content in the alloy can affect its properties; it increases size of primary Si and hardness but reduces machinability. In order to improve their properties and meet the high requirements of the industry, usually, grain refinement of these alloys is needed. Some of the ways to obtain grain refinement and potentially improve hypereutectic Al-Si alloys’ properties are different manufacturing technologies, heat treatments and/or addition of grain refiners like Ni, Mg, Sr, Sn and many others. There is a large amount of manufacturing technologies used for hypereutectic Al-Si alloys, and in this paper will be considered most of them, as well as their influence on microstructure, mechanical and tribological properties of hypereutectic Al-Si alloys and composites. Also, the effect of higher Si content in the hypereutectic Al-Si alloy on its properties will be considered, as well as addition of modificator/refiner or reinforcement. Liquid state processes are usually used for hypereutectic Al-Si alloys, but some newer (semi-solid and solid processes) have emerged that give better microstructure, mechanical and tribological properties, and those are tixocasting, rheocasting and selective laser melting. Based on available investigations tixocasting gives promising results, the only drawback is the price and in the future, investigations should be oriented to finding ways for its reduction.
T2  - Silicon
T1  - Hypereutectic aluminum alloys and composites: A review
EP  - 2527
IS  - 6
SP  - 2507
VL  - 15
DO  - 10.1007/s12633-022-02216-2
ER  - 

@article{
author = "Miladinović, Slavica and Stojanović, Blaža and Gajević, Sandra and Vencl, Aleksandar",
year = "2023",
abstract = "Fast development of automotive industry increases demands in terms of fuel efficiency, reduction of weight and increased reliability of constructions. Nowadays major materials for production of pistons are cast iron, Aluminum–Silicon (Al-Si) alloys and some composites. Use of hypereutectic Al-Si alloys is increasing in automobile and aerospace industry. Application of hypereutectic Al-Si alloys with more than 12wt.% of Si is due to their properties like good thermal and electrical conductivity, high strength to weight ratio, good corrosion resistance and others. Higher Si content in the alloy can affect its properties; it increases size of primary Si and hardness but reduces machinability. In order to improve their properties and meet the high requirements of the industry, usually, grain refinement of these alloys is needed. Some of the ways to obtain grain refinement and potentially improve hypereutectic Al-Si alloys’ properties are different manufacturing technologies, heat treatments and/or addition of grain refiners like Ni, Mg, Sr, Sn and many others. There is a large amount of manufacturing technologies used for hypereutectic Al-Si alloys, and in this paper will be considered most of them, as well as their influence on microstructure, mechanical and tribological properties of hypereutectic Al-Si alloys and composites. Also, the effect of higher Si content in the hypereutectic Al-Si alloy on its properties will be considered, as well as addition of modificator/refiner or reinforcement. Liquid state processes are usually used for hypereutectic Al-Si alloys, but some newer (semi-solid and solid processes) have emerged that give better microstructure, mechanical and tribological properties, and those are tixocasting, rheocasting and selective laser melting. Based on available investigations tixocasting gives promising results, the only drawback is the price and in the future, investigations should be oriented to finding ways for its reduction.",
journal = "Silicon",
title = "Hypereutectic aluminum alloys and composites: A review",
pages = "2527-2507",
number = "6",
volume = "15",
doi = "10.1007/s12633-022-02216-2"
}

Miladinović, S., Stojanović, B., Gajević, S.,& Vencl, A.. (2023). Hypereutectic aluminum alloys and composites: A review. in Silicon, 15(6), 2507-2527.
https://doi.org/10.1007/s12633-022-02216-2

Miladinović S, Stojanović B, Gajević S, Vencl A. Hypereutectic aluminum alloys and composites: A review. in Silicon. 2023;15(6):2507-2527.
doi:10.1007/s12633-022-02216-2 .

Miladinović, Slavica, Stojanović, Blaža, Gajević, Sandra, Vencl, Aleksandar, "Hypereutectic aluminum alloys and composites: A review" in Silicon, 15, no. 6 (2023):2507-2527,
https://doi.org/10.1007/s12633-022-02216-2 . .

TY  - JOUR
AU  - Stojanović, Blaža
AU  - Gajević, Sandra
AU  - Miloradović, Nenad
AU  - Nikolić, Ružica
AU  - Miladinović, Slavica
AU  - Svoboda, Petr
AU  - Vencl, Aleksandar
PY  - 2023
UR  - https://komunikacie.uniza.sk/artkey/csl-202303-0017_comparative-analysis-of-hybrid-composites-based-on-a356-and-za-27-alloys-regarding-their-tribological-behaviour.php
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/7337
AB  - The comparative analysis of the two hybrid composites, obtained by the compocasting process, based on A356 and ZA-27 alloys and reinforced with 10 wt. % SiC and 0, 1 and 3 wt. % graphite (Gr) is presented. Optimisation of their tribological behaviour was performed by the Taguchi method and the artificial neural network (ANN). Tribological tests were performed on a block-on-disk tribometer, at three sliding speeds, three normal loads and a sliding distance of 600 m, without lubrication. Results obtained by the ANOVA showed that the hybrid composites based on A356 alloy have the better wear resistance and that the composite reinforced with 10 wt. % SiC and 1 wt. % Gr has the lowest wear rate. The lowest coefficient of friction was obtained for a composite based on ZA-27 alloy reinforced with 10 wt. % SiC, at a normal load of 10 N and sliding speed of 1 m/s.
T2  - Komunikácie – Communications
T1  - Comparative analysis of hybrid composites based on A356 and ZA-27 alloys regarding their tribological behaviour
EP  - B227
IS  - 3
SP  - B215
VL  - 25
DO  - 10.26552/com.C.2023.056
ER  - 

@article{
author = "Stojanović, Blaža and Gajević, Sandra and Miloradović, Nenad and Nikolić, Ružica and Miladinović, Slavica and Svoboda, Petr and Vencl, Aleksandar",
year = "2023",
abstract = "The comparative analysis of the two hybrid composites, obtained by the compocasting process, based on A356 and ZA-27 alloys and reinforced with 10 wt. % SiC and 0, 1 and 3 wt. % graphite (Gr) is presented. Optimisation of their tribological behaviour was performed by the Taguchi method and the artificial neural network (ANN). Tribological tests were performed on a block-on-disk tribometer, at three sliding speeds, three normal loads and a sliding distance of 600 m, without lubrication. Results obtained by the ANOVA showed that the hybrid composites based on A356 alloy have the better wear resistance and that the composite reinforced with 10 wt. % SiC and 1 wt. % Gr has the lowest wear rate. The lowest coefficient of friction was obtained for a composite based on ZA-27 alloy reinforced with 10 wt. % SiC, at a normal load of 10 N and sliding speed of 1 m/s.",
journal = "Komunikácie – Communications",
title = "Comparative analysis of hybrid composites based on A356 and ZA-27 alloys regarding their tribological behaviour",
pages = "B227-B215",
number = "3",
volume = "25",
doi = "10.26552/com.C.2023.056"
}

Stojanović, B., Gajević, S., Miloradović, N., Nikolić, R., Miladinović, S., Svoboda, P.,& Vencl, A.. (2023). Comparative analysis of hybrid composites based on A356 and ZA-27 alloys regarding their tribological behaviour. in Komunikácie – Communications, 25(3), B215-B227.
https://doi.org/10.26552/com.C.2023.056

Stojanović B, Gajević S, Miloradović N, Nikolić R, Miladinović S, Svoboda P, Vencl A. Comparative analysis of hybrid composites based on A356 and ZA-27 alloys regarding their tribological behaviour. in Komunikácie – Communications. 2023;25(3):B215-B227.
doi:10.26552/com.C.2023.056 .

Stojanović, Blaža, Gajević, Sandra, Miloradović, Nenad, Nikolić, Ružica, Miladinović, Slavica, Svoboda, Petr, Vencl, Aleksandar, "Comparative analysis of hybrid composites based on A356 and ZA-27 alloys regarding their tribological behaviour" in Komunikácie – Communications, 25, no. 3 (2023):B215-B227,
https://doi.org/10.26552/com.C.2023.056 . .

TY  - CONF
AU  - Stojanović, Blaža
AU  - Vencl, Aleksandar
AU  - Skulić, Aleksandar
AU  - Miladinović, Slavica
AU  - Gajević, Sandra
PY  - 2022
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4352
AB  - This paper presents the results of experimental research of efficiency of a worm gearbox which was designed for that purpose. The gearbox housing is of a welded construction with side openings, which enables simple assembly and disassembly of worm pairs, bearings and other elements. Two worm pairs with the same geometric characteristics were used for testing, where the worms are made of improved steel 42CrMo4 and the worm gears are made of zinc-aluminum alloy ZA12 and aluminum alloy A356. The values of the efficiency were determined at different operating modes of the gearbox (loads and rotational speeds), where mineral oil with a viscosity of 460 mm2/s was used as a lubricant. According to the previously defined working conditions, the power losses and friction coefficient of the worm gear pairs were calculated. Based on the test results, it is concluded that the values of the efficiency of the worm gear pair 42CrMo4/ZA12 are significantly higher compared to the worm gear pair 42CrMo4/A356, which is the result of lower power losses and lower values of the coefficient of friction.
PB  - University of East Sarajevo, Faculty of Mechanical Engineering
C3  - Proceedings of the 6th International Scientific Conference "COMETa 2022", East Sarajevo, B&H, RS 17th – 19th November, 2022
T1  - Influence of materials on the efficiency of worm gear transmission
EP  - 409
SP  - 402
UR  - https://hdl.handle.net/21.15107/rcub_machinery_4352
ER  - 

@conference{
author = "Stojanović, Blaža and Vencl, Aleksandar and Skulić, Aleksandar and Miladinović, Slavica and Gajević, Sandra",
year = "2022",
abstract = "This paper presents the results of experimental research of efficiency of a worm gearbox which was designed for that purpose. The gearbox housing is of a welded construction with side openings, which enables simple assembly and disassembly of worm pairs, bearings and other elements. Two worm pairs with the same geometric characteristics were used for testing, where the worms are made of improved steel 42CrMo4 and the worm gears are made of zinc-aluminum alloy ZA12 and aluminum alloy A356. The values of the efficiency were determined at different operating modes of the gearbox (loads and rotational speeds), where mineral oil with a viscosity of 460 mm2/s was used as a lubricant. According to the previously defined working conditions, the power losses and friction coefficient of the worm gear pairs were calculated. Based on the test results, it is concluded that the values of the efficiency of the worm gear pair 42CrMo4/ZA12 are significantly higher compared to the worm gear pair 42CrMo4/A356, which is the result of lower power losses and lower values of the coefficient of friction.",
publisher = "University of East Sarajevo, Faculty of Mechanical Engineering",
journal = "Proceedings of the 6th International Scientific Conference "COMETa 2022", East Sarajevo, B&H, RS 17th – 19th November, 2022",
title = "Influence of materials on the efficiency of worm gear transmission",
pages = "409-402",
url = "https://hdl.handle.net/21.15107/rcub_machinery_4352"
}

Stojanović, B., Vencl, A., Skulić, A., Miladinović, S.,& Gajević, S.. (2022). Influence of materials on the efficiency of worm gear transmission. in Proceedings of the 6th International Scientific Conference "COMETa 2022", East Sarajevo, B&H, RS 17th – 19th November, 2022
University of East Sarajevo, Faculty of Mechanical Engineering., 402-409.
https://hdl.handle.net/21.15107/rcub_machinery_4352

Stojanović B, Vencl A, Skulić A, Miladinović S, Gajević S. Influence of materials on the efficiency of worm gear transmission. in Proceedings of the 6th International Scientific Conference "COMETa 2022", East Sarajevo, B&H, RS 17th – 19th November, 2022. 2022;:402-409.
https://hdl.handle.net/21.15107/rcub_machinery_4352 .

Stojanović, Blaža, Vencl, Aleksandar, Skulić, Aleksandar, Miladinović, Slavica, Gajević, Sandra, "Influence of materials on the efficiency of worm gear transmission" in Proceedings of the 6th International Scientific Conference "COMETa 2022", East Sarajevo, B&H, RS 17th – 19th November, 2022 (2022):402-409,
https://hdl.handle.net/21.15107/rcub_machinery_4352 .

TY  - CONF
AU  - Vencl, Aleksandar
AU  - Stojanović, Blaža
AU  - Miladinović, Slavica
AU  - Klobčar, Damjan
PY  - 2022
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4351
AB  - The zinc-aluminium casting alloy ZA-27 is well-established and is a frequently used material for plain bearing sleeves. It has good physical, mechanical and tribological properties. Its tribological properties can be improved further by adding hard ceramic particles to the alloy. The tested nanocomposites were produced by the compocasting process with mechanical alloying preprocessing (ball milling). Three different amounts of SiC nanoparticles, with the same average size of 50 nm, were used as reinforcement, i.e. 0.2, 0.3 and 0.5 wt. %. Tests were performed on a block-on-disc tribometer (line contact) under lubricated sliding conditions, at two sliding speeds (0.25 and 1 m/s), two normal loads (40 and 100 N) and a sliding distance of 1000 m. The prediction of wear rate was performed with the use of an artificial neural network (ANN). After training the ANN with architecture 3-4-1, the regression coefficient for the network was 0.99973. The experimental values and values obtained by applying the Taguchi method were compared with the predicted values, showing that ANN is more efficient in predicting wear.
PB  - University of East Sarajevo, Faculty of Mechanical Engineering
C3  - Proceedings of the 6th International Scientific Conference "COMETa 2022", East Sarajevo, B&H, RS 17th – 19th November, 2022
T1  - Prediction of the wear characteristics of ZA-27/SiC nanocomposites using the artificial neural network
EP  - 114
SP  - 107
UR  - https://hdl.handle.net/21.15107/rcub_machinery_4351
ER  - 

@conference{
author = "Vencl, Aleksandar and Stojanović, Blaža and Miladinović, Slavica and Klobčar, Damjan",
year = "2022",
abstract = "The zinc-aluminium casting alloy ZA-27 is well-established and is a frequently used material for plain bearing sleeves. It has good physical, mechanical and tribological properties. Its tribological properties can be improved further by adding hard ceramic particles to the alloy. The tested nanocomposites were produced by the compocasting process with mechanical alloying preprocessing (ball milling). Three different amounts of SiC nanoparticles, with the same average size of 50 nm, were used as reinforcement, i.e. 0.2, 0.3 and 0.5 wt. %. Tests were performed on a block-on-disc tribometer (line contact) under lubricated sliding conditions, at two sliding speeds (0.25 and 1 m/s), two normal loads (40 and 100 N) and a sliding distance of 1000 m. The prediction of wear rate was performed with the use of an artificial neural network (ANN). After training the ANN with architecture 3-4-1, the regression coefficient for the network was 0.99973. The experimental values and values obtained by applying the Taguchi method were compared with the predicted values, showing that ANN is more efficient in predicting wear.",
publisher = "University of East Sarajevo, Faculty of Mechanical Engineering",
journal = "Proceedings of the 6th International Scientific Conference "COMETa 2022", East Sarajevo, B&H, RS 17th – 19th November, 2022",
title = "Prediction of the wear characteristics of ZA-27/SiC nanocomposites using the artificial neural network",
pages = "114-107",
url = "https://hdl.handle.net/21.15107/rcub_machinery_4351"
}

Vencl, A., Stojanović, B., Miladinović, S.,& Klobčar, D.. (2022). Prediction of the wear characteristics of ZA-27/SiC nanocomposites using the artificial neural network. in Proceedings of the 6th International Scientific Conference "COMETa 2022", East Sarajevo, B&H, RS 17th – 19th November, 2022
University of East Sarajevo, Faculty of Mechanical Engineering., 107-114.
https://hdl.handle.net/21.15107/rcub_machinery_4351

Vencl A, Stojanović B, Miladinović S, Klobčar D. Prediction of the wear characteristics of ZA-27/SiC nanocomposites using the artificial neural network. in Proceedings of the 6th International Scientific Conference "COMETa 2022", East Sarajevo, B&H, RS 17th – 19th November, 2022. 2022;:107-114.
https://hdl.handle.net/21.15107/rcub_machinery_4351 .

Vencl, Aleksandar, Stojanović, Blaža, Miladinović, Slavica, Klobčar, Damjan, "Prediction of the wear characteristics of ZA-27/SiC nanocomposites using the artificial neural network" in Proceedings of the 6th International Scientific Conference "COMETa 2022", East Sarajevo, B&H, RS 17th – 19th November, 2022 (2022):107-114,
https://hdl.handle.net/21.15107/rcub_machinery_4351 .

TY  - JOUR
AU  - Stojanović, Blaža
AU  - Gajević, Sandra
AU  - Kostić, Nenad
AU  - Miladinović, Slavica
AU  - Vencl, Aleksandar
PY  - 2022
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3790
AB  - Purpose This study aims to present a novel methodology for the evaluation of tribological properties of new nanocomposites with the A356 alloy matrix reinforced with aluminium oxide (Al2O3) nanoparticles. Design/methodology/approach Metal matrix nanocomposites (MMnCs) with varying amounts and sizes of Al2O3 particles were produced using a compocasting process. The influence of four factors, with different levels, on the wear rate, was analysed with the help of the design of experiments (DoE). A regression model was developed by using the response surface methodology (RSM) to establish a relationship between the observed factors and the wear rate. An artificial neural network was also applied to predict the value of wear rate. Adequacy of models was compared with experimental values. The extreme values of wear rate were determined with a genetic algorithm and particle swarm optimization using the RSM model. Findings The combination of optimization methods determined the values of the factors which provide the highest wear resistance, namely, reinforcement content of 0.44 wt.% Al2O3, sliding speed of 1 m/s, normal load of 100 N and particle size of 100 nm. Used methods proved as effective tools for modelling and predicting of the behaviour of aluminium matrix nanocomposites. Originality/value The specific combinations of the optimization methods has not been applied up to now in the investigation of MMnCs. In addition, using of small content of ceramic nanoparticles as reinforcement has been poorly investigated. It can be stated that the presented approach for testing and prediction of the wear rate of nanocomposites is a very good base for their future research.
PB  - Emerald Group Publishing Ltd, Bingley
T2  - Industrial Lubrication and Tribology
T1  - Optimization of parameters that affect wear of A356/Al2O3 nanocomposites using RSM, ANN, GA and PSO methods
EP  - 359
IS  - 3
SP  - 350
VL  - 74
DO  - 10.1108/ILT-07-2021-0262
ER  - 

@article{
author = "Stojanović, Blaža and Gajević, Sandra and Kostić, Nenad and Miladinović, Slavica and Vencl, Aleksandar",
year = "2022",
abstract = "Purpose This study aims to present a novel methodology for the evaluation of tribological properties of new nanocomposites with the A356 alloy matrix reinforced with aluminium oxide (Al2O3) nanoparticles. Design/methodology/approach Metal matrix nanocomposites (MMnCs) with varying amounts and sizes of Al2O3 particles were produced using a compocasting process. The influence of four factors, with different levels, on the wear rate, was analysed with the help of the design of experiments (DoE). A regression model was developed by using the response surface methodology (RSM) to establish a relationship between the observed factors and the wear rate. An artificial neural network was also applied to predict the value of wear rate. Adequacy of models was compared with experimental values. The extreme values of wear rate were determined with a genetic algorithm and particle swarm optimization using the RSM model. Findings The combination of optimization methods determined the values of the factors which provide the highest wear resistance, namely, reinforcement content of 0.44 wt.% Al2O3, sliding speed of 1 m/s, normal load of 100 N and particle size of 100 nm. Used methods proved as effective tools for modelling and predicting of the behaviour of aluminium matrix nanocomposites. Originality/value The specific combinations of the optimization methods has not been applied up to now in the investigation of MMnCs. In addition, using of small content of ceramic nanoparticles as reinforcement has been poorly investigated. It can be stated that the presented approach for testing and prediction of the wear rate of nanocomposites is a very good base for their future research.",
publisher = "Emerald Group Publishing Ltd, Bingley",
journal = "Industrial Lubrication and Tribology",
title = "Optimization of parameters that affect wear of A356/Al2O3 nanocomposites using RSM, ANN, GA and PSO methods",
pages = "359-350",
number = "3",
volume = "74",
doi = "10.1108/ILT-07-2021-0262"
}

Stojanović, B., Gajević, S., Kostić, N., Miladinović, S.,& Vencl, A.. (2022). Optimization of parameters that affect wear of A356/Al2O3 nanocomposites using RSM, ANN, GA and PSO methods. in Industrial Lubrication and Tribology
Emerald Group Publishing Ltd, Bingley., 74(3), 350-359.
https://doi.org/10.1108/ILT-07-2021-0262

Stojanović B, Gajević S, Kostić N, Miladinović S, Vencl A. Optimization of parameters that affect wear of A356/Al2O3 nanocomposites using RSM, ANN, GA and PSO methods. in Industrial Lubrication and Tribology. 2022;74(3):350-359.
doi:10.1108/ILT-07-2021-0262 .

Stojanović, Blaža, Gajević, Sandra, Kostić, Nenad, Miladinović, Slavica, Vencl, Aleksandar, "Optimization of parameters that affect wear of A356/Al2O3 nanocomposites using RSM, ANN, GA and PSO methods" in Industrial Lubrication and Tribology, 74, no. 3 (2022):350-359,
https://doi.org/10.1108/ILT-07-2021-0262 . .

TY  - CONF
AU  - Stojanović, Blaža
AU  - Vencl, Aleksandar
AU  - Miloradović, Nenad
AU  - Gajević, Sandra
AU  - Miladinović, Slavica
PY  - 2021
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4349
AB  - Optimization of tribological behaviour of hybrid composites based on A356 and ZA27 alloys reinforced with 10 wt. % SiC and 0, 1 and 3 wt. % Gr is presented in this paper. Optimization was performed using the Taguchi method and the artificial neural network (ANN). Hybrid composites were obtained by compocasting procedure. The analysis shows that hybrid composites based on A356 alloy have better tribological characteristics, while the one reinforced with 10 wt. % SiC and 1 wt. % Gr shows the least wear.
C3  - Proceedings of the 10th International Conference on Tribology – BALKANTRIB '20, Belgrade, Serbia, 20 – 22 May 2021
T1  - Optimization of tribological behaviour of hybrid composites based on A356 and ZA-27 alloys
EP  - 22
SP  - 21
UR  - https://hdl.handle.net/21.15107/rcub_machinery_4349
ER  - 

@conference{
author = "Stojanović, Blaža and Vencl, Aleksandar and Miloradović, Nenad and Gajević, Sandra and Miladinović, Slavica",
year = "2021",
abstract = "Optimization of tribological behaviour of hybrid composites based on A356 and ZA27 alloys reinforced with 10 wt. % SiC and 0, 1 and 3 wt. % Gr is presented in this paper. Optimization was performed using the Taguchi method and the artificial neural network (ANN). Hybrid composites were obtained by compocasting procedure. The analysis shows that hybrid composites based on A356 alloy have better tribological characteristics, while the one reinforced with 10 wt. % SiC and 1 wt. % Gr shows the least wear.",
journal = "Proceedings of the 10th International Conference on Tribology – BALKANTRIB '20, Belgrade, Serbia, 20 – 22 May 2021",
title = "Optimization of tribological behaviour of hybrid composites based on A356 and ZA-27 alloys",
pages = "22-21",
url = "https://hdl.handle.net/21.15107/rcub_machinery_4349"
}

Stojanović, B., Vencl, A., Miloradović, N., Gajević, S.,& Miladinović, S.. (2021). Optimization of tribological behaviour of hybrid composites based on A356 and ZA-27 alloys. in Proceedings of the 10th International Conference on Tribology – BALKANTRIB '20, Belgrade, Serbia, 20 – 22 May 2021, 21-22.
https://hdl.handle.net/21.15107/rcub_machinery_4349

Stojanović B, Vencl A, Miloradović N, Gajević S, Miladinović S. Optimization of tribological behaviour of hybrid composites based on A356 and ZA-27 alloys. in Proceedings of the 10th International Conference on Tribology – BALKANTRIB '20, Belgrade, Serbia, 20 – 22 May 2021. 2021;:21-22.
https://hdl.handle.net/21.15107/rcub_machinery_4349 .

Stojanović, Blaža, Vencl, Aleksandar, Miloradović, Nenad, Gajević, Sandra, Miladinović, Slavica, "Optimization of tribological behaviour of hybrid composites based on A356 and ZA-27 alloys" in Proceedings of the 10th International Conference on Tribology – BALKANTRIB '20, Belgrade, Serbia, 20 – 22 May 2021 (2021):21-22,
https://hdl.handle.net/21.15107/rcub_machinery_4349 .

TY  - CONF
AU  - Gajević, Sandra
AU  - Miladinović, Slavica
AU  - Stojanović, Blaža
AU  - Vencl, Aleksandar
PY  - 2021
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4348
AB  - The aim of this study was optimization of wear of nanocomposites with A356 alloy as a matrix. Different percentages of Al2O3 particles (0.2, 0.3 and 0.5 wt. %), with two average size (25 and 100 nm), were dispersed in the A356 matrix and fabricated by compocasting process. The tribological tests were conducted by the orthogonal L24 matrix. By application of the RSM method, a mathematical model was developed that best describes wear dependence on the observed factors and it was found that all considered factors have a significant impact on the wear of nanocomposite.
C3  - Proceedings of the 10th International Conference on Tribology – BALKANTRIB '20
T1  - Wear of A356/Al2O3 nanocomposites and optimisation of material and operating parameters
EP  - 18
SP  - 17
UR  - https://hdl.handle.net/21.15107/rcub_machinery_4348
ER  - 

@conference{
author = "Gajević, Sandra and Miladinović, Slavica and Stojanović, Blaža and Vencl, Aleksandar",
year = "2021",
abstract = "The aim of this study was optimization of wear of nanocomposites with A356 alloy as a matrix. Different percentages of Al2O3 particles (0.2, 0.3 and 0.5 wt. %), with two average size (25 and 100 nm), were dispersed in the A356 matrix and fabricated by compocasting process. The tribological tests were conducted by the orthogonal L24 matrix. By application of the RSM method, a mathematical model was developed that best describes wear dependence on the observed factors and it was found that all considered factors have a significant impact on the wear of nanocomposite.",
journal = "Proceedings of the 10th International Conference on Tribology – BALKANTRIB '20",
title = "Wear of A356/Al2O3 nanocomposites and optimisation of material and operating parameters",
pages = "18-17",
url = "https://hdl.handle.net/21.15107/rcub_machinery_4348"
}

Gajević, S., Miladinović, S., Stojanović, B.,& Vencl, A.. (2021). Wear of A356/Al2O3 nanocomposites and optimisation of material and operating parameters. in Proceedings of the 10th International Conference on Tribology – BALKANTRIB '20, 17-18.
https://hdl.handle.net/21.15107/rcub_machinery_4348

Gajević S, Miladinović S, Stojanović B, Vencl A. Wear of A356/Al2O3 nanocomposites and optimisation of material and operating parameters. in Proceedings of the 10th International Conference on Tribology – BALKANTRIB '20. 2021;:17-18.
https://hdl.handle.net/21.15107/rcub_machinery_4348 .

Gajević, Sandra, Miladinović, Slavica, Stojanović, Blaža, Vencl, Aleksandar, "Wear of A356/Al2O3 nanocomposites and optimisation of material and operating parameters" in Proceedings of the 10th International Conference on Tribology – BALKANTRIB '20 (2021):17-18,
https://hdl.handle.net/21.15107/rcub_machinery_4348 .

TY  - JOUR
AU  - Vencl, Aleksandar
AU  - Ivanović, Lozica
AU  - Stojanović, Blaža
AU  - Zadorozhnaya, Elena
AU  - Miladinović, Slavica
AU  - Svoboda, Petr
PY  - 2019
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3214
AB  - Surface texturing is one of the surface modification techniques which deliberately change the texture of the surface, in order to improve, among other things, its tribological performance. This is obtained through different patterns, which can be on micro or nano scale, created on the contact surfaces. The performance of a textured surface depends on the shape, geometry and pattern of the surface texture and the operating condition of the components in contact. There is a number of various techniques for surface texturing, among which laser surface texturing is most often used. The different surface texture shapes, different textured area ratios and patterns, different lubrication regimes with different contact geometries and materials have been subject of theoretical and experimental research for many years. This paper reviews the state-of-the-art of researches that consider various surface texturing for tribological application, as well as its effect on performance enhancement. Conclusions of this paper may provide guidance for optimal design of surface textures in practical engineering applications.
PB  - Faculty of Engineering, University of Kragujevac
T2  - Proceedings on Engineering Sciences
T1  - Surface texturing for tribological applications: a review
EP  - 239
IS  - 1
SP  - 227
VL  - 1
DO  - 10.24874/PES01.01.029
ER  - 

@article{
author = "Vencl, Aleksandar and Ivanović, Lozica and Stojanović, Blaža and Zadorozhnaya, Elena and Miladinović, Slavica and Svoboda, Petr",
year = "2019",
abstract = "Surface texturing is one of the surface modification techniques which deliberately change the texture of the surface, in order to improve, among other things, its tribological performance. This is obtained through different patterns, which can be on micro or nano scale, created on the contact surfaces. The performance of a textured surface depends on the shape, geometry and pattern of the surface texture and the operating condition of the components in contact. There is a number of various techniques for surface texturing, among which laser surface texturing is most often used. The different surface texture shapes, different textured area ratios and patterns, different lubrication regimes with different contact geometries and materials have been subject of theoretical and experimental research for many years. This paper reviews the state-of-the-art of researches that consider various surface texturing for tribological application, as well as its effect on performance enhancement. Conclusions of this paper may provide guidance for optimal design of surface textures in practical engineering applications.",
publisher = "Faculty of Engineering, University of Kragujevac",
journal = "Proceedings on Engineering Sciences",
title = "Surface texturing for tribological applications: a review",
pages = "239-227",
number = "1",
volume = "1",
doi = "10.24874/PES01.01.029"
}

Vencl, A., Ivanović, L., Stojanović, B., Zadorozhnaya, E., Miladinović, S.,& Svoboda, P.. (2019). Surface texturing for tribological applications: a review. in Proceedings on Engineering Sciences
Faculty of Engineering, University of Kragujevac., 1(1), 227-239.
https://doi.org/10.24874/PES01.01.029

Vencl A, Ivanović L, Stojanović B, Zadorozhnaya E, Miladinović S, Svoboda P. Surface texturing for tribological applications: a review. in Proceedings on Engineering Sciences. 2019;1(1):227-239.
doi:10.24874/PES01.01.029 .

Vencl, Aleksandar, Ivanović, Lozica, Stojanović, Blaža, Zadorozhnaya, Elena, Miladinović, Slavica, Svoboda, Petr, "Surface texturing for tribological applications: a review" in Proceedings on Engineering Sciences, 1, no. 1 (2019):227-239,
https://doi.org/10.24874/PES01.01.029 . .

TY  - JOUR
AU  - Stojanović, Blaža
AU  - Vencl, Aleksandar
AU  - Bobić, Ilija
AU  - Miladinović, Slavica
AU  - Skerlić, Jasmina
PY  - 2018
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/2772
AB  - This paper presents the investigation of tribological behaviour of aluminium hybrid composites with Al-Si alloy A356 matrix, reinforced with 10 wt% silicon carbide and 0, 1 and 3 wt% graphite (Gr) with the application of Taguchi's method. Tribological investigations were realized on block-on-disc tribometer under lubricated sliding conditions, at three sliding speeds (0.25, 0.5 and 1 m/s), three normal loads (40, 80 and 120 N) and at sliding distance of 2400 m. Wear rate and coefficient of friction were measured within the research. Analysis of the results was conducted using ANOVA technique, and it showed that the smallest values of wear and friction are observed for hybrid composite containing 3 wt% Gr. The prediction of wear rate and coefficient of friction was performed with the use of artificial neural network (ANN). After training of the ANN, the regression coefficient was obtained and it was equal to 0.98905 for the network with architecture 3-20-30-2.
PB  - Springer Heidelberg, Heidelberg
T2  - Journal of The Brazilian Society of Mechanical Sciences and Engineering
T1  - Experimental optimisation of the tribological behaviour of Al/SiC/Gr hybrid composites based on Taguchi's method and artificial neural network
IS  - 6
VL  - 40
DO  - 10.1007/s40430-018-1237-y
ER  - 

@article{
author = "Stojanović, Blaža and Vencl, Aleksandar and Bobić, Ilija and Miladinović, Slavica and Skerlić, Jasmina",
year = "2018",
abstract = "This paper presents the investigation of tribological behaviour of aluminium hybrid composites with Al-Si alloy A356 matrix, reinforced with 10 wt% silicon carbide and 0, 1 and 3 wt% graphite (Gr) with the application of Taguchi's method. Tribological investigations were realized on block-on-disc tribometer under lubricated sliding conditions, at three sliding speeds (0.25, 0.5 and 1 m/s), three normal loads (40, 80 and 120 N) and at sliding distance of 2400 m. Wear rate and coefficient of friction were measured within the research. Analysis of the results was conducted using ANOVA technique, and it showed that the smallest values of wear and friction are observed for hybrid composite containing 3 wt% Gr. The prediction of wear rate and coefficient of friction was performed with the use of artificial neural network (ANN). After training of the ANN, the regression coefficient was obtained and it was equal to 0.98905 for the network with architecture 3-20-30-2.",
publisher = "Springer Heidelberg, Heidelberg",
journal = "Journal of The Brazilian Society of Mechanical Sciences and Engineering",
title = "Experimental optimisation of the tribological behaviour of Al/SiC/Gr hybrid composites based on Taguchi's method and artificial neural network",
number = "6",
volume = "40",
doi = "10.1007/s40430-018-1237-y"
}

Stojanović, B., Vencl, A., Bobić, I., Miladinović, S.,& Skerlić, J.. (2018). Experimental optimisation of the tribological behaviour of Al/SiC/Gr hybrid composites based on Taguchi's method and artificial neural network. in Journal of The Brazilian Society of Mechanical Sciences and Engineering
Springer Heidelberg, Heidelberg., 40(6).
https://doi.org/10.1007/s40430-018-1237-y

Stojanović B, Vencl A, Bobić I, Miladinović S, Skerlić J. Experimental optimisation of the tribological behaviour of Al/SiC/Gr hybrid composites based on Taguchi's method and artificial neural network. in Journal of The Brazilian Society of Mechanical Sciences and Engineering. 2018;40(6).
doi:10.1007/s40430-018-1237-y .

Stojanović, Blaža, Vencl, Aleksandar, Bobić, Ilija, Miladinović, Slavica, Skerlić, Jasmina, "Experimental optimisation of the tribological behaviour of Al/SiC/Gr hybrid composites based on Taguchi's method and artificial neural network" in Journal of The Brazilian Society of Mechanical Sciences and Engineering, 40, no. 6 (2018),
https://doi.org/10.1007/s40430-018-1237-y . .

TY  - JOUR
AU  - Stojanović, Blaža
AU  - Veličković, Sandra
AU  - Vencl, Aleksandar
AU  - Babić, Miroslav
AU  - Petrović, Nenad
AU  - Miladinović, Slavica
AU  - Cherkezova-Zheleva, Zara
PY  - 2016
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4313
AB  - This paper analyses wear behaviour of Al-Si alloy A356 (AlSi7Mg) based composite reinforced with 10 wt. % SiC, and compare it with the base A356 alloy. Composite are obtained using the compocasting procedure. Tribological testing have been conducted on a block-on-disc tribometer with three varying loads (10, 20 and 30 N) and three sliding speeds (0.25, 0.5 and 1 m/s), under dry sliding conditions. Sliding distance of 300 m was constant. The goal of the paper was to optimize the influencing parameters in order to minimize specific wear rate using the Taguchi method. The analysis showed that the sliding speed has the greatest influence on specific wear rate (39.5 %), followed by the load (23.6 %), and the interaction between sliding speed and load (19.4 %). A regression analysis and experiment corroboration was conducted in order to verify the results of the optimization. Specific wear rate prediction was done using artificial neural network (ANN).
PB  - Sofia : Technical University
T2  - Tribological Journal BULTRIB
T1  - Optimization and prediction of aluminium composite wear using Taguchi design and artificial neural network
EP  - 45
SP  - 38
VL  - 6
UR  - https://hdl.handle.net/21.15107/rcub_machinery_4313
ER  - 

@article{
author = "Stojanović, Blaža and Veličković, Sandra and Vencl, Aleksandar and Babić, Miroslav and Petrović, Nenad and Miladinović, Slavica and Cherkezova-Zheleva, Zara",
year = "2016",
abstract = "This paper analyses wear behaviour of Al-Si alloy A356 (AlSi7Mg) based composite reinforced with 10 wt. % SiC, and compare it with the base A356 alloy. Composite are obtained using the compocasting procedure. Tribological testing have been conducted on a block-on-disc tribometer with three varying loads (10, 20 and 30 N) and three sliding speeds (0.25, 0.5 and 1 m/s), under dry sliding conditions. Sliding distance of 300 m was constant. The goal of the paper was to optimize the influencing parameters in order to minimize specific wear rate using the Taguchi method. The analysis showed that the sliding speed has the greatest influence on specific wear rate (39.5 %), followed by the load (23.6 %), and the interaction between sliding speed and load (19.4 %). A regression analysis and experiment corroboration was conducted in order to verify the results of the optimization. Specific wear rate prediction was done using artificial neural network (ANN).",
publisher = "Sofia : Technical University",
journal = "Tribological Journal BULTRIB",
title = "Optimization and prediction of aluminium composite wear using Taguchi design and artificial neural network",
pages = "45-38",
volume = "6",
url = "https://hdl.handle.net/21.15107/rcub_machinery_4313"
}

Stojanović, B., Veličković, S., Vencl, A., Babić, M., Petrović, N., Miladinović, S.,& Cherkezova-Zheleva, Z.. (2016). Optimization and prediction of aluminium composite wear using Taguchi design and artificial neural network. in Tribological Journal BULTRIB
Sofia : Technical University., 6, 38-45.
https://hdl.handle.net/21.15107/rcub_machinery_4313

Stojanović B, Veličković S, Vencl A, Babić M, Petrović N, Miladinović S, Cherkezova-Zheleva Z. Optimization and prediction of aluminium composite wear using Taguchi design and artificial neural network. in Tribological Journal BULTRIB. 2016;6:38-45.
https://hdl.handle.net/21.15107/rcub_machinery_4313 .

Stojanović, Blaža, Veličković, Sandra, Vencl, Aleksandar, Babić, Miroslav, Petrović, Nenad, Miladinović, Slavica, Cherkezova-Zheleva, Zara, "Optimization and prediction of aluminium composite wear using Taguchi design and artificial neural network" in Tribological Journal BULTRIB, 6 (2016):38-45,
https://hdl.handle.net/21.15107/rcub_machinery_4313 .