TY  - JOUR
AU  - Vencl, Aleksandar
AU  - Svoboda, Petr
AU  - Klančnik, Simon
AU  - But, Adrian
AU  - Vorkapić, Miloš
AU  - Harničarova, Marta
AU  - Stojanović, Blaža
PY  - 2023
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/5643
AB  - Three different and very small amounts of alumina (0.2, 0.3 and 0.5 wt. %) in two sizes
(approx. 25 and 100 nm) were used to enhance the wear characteristics of ZA-27 alloy-based nanocomposites.
Production was realised through mechanical alloying in pre-processing and compocasting
processes. Wear tests were under lubricated sliding conditions on a block-on-disc tribometer, at two
sliding speeds (0.25 and 1 m/s), two normal loads (40 and 100 N) and a sliding distance of 1000 m.
Experimental results were analysed by applying the response surface methodology (RSM) and a
suitable mathematical model for the wear rate of tested nanocomposites was developed. Appropriate
wear maps were constructed and the wear mechanism is discussed in this paper. The accuracy of the
prediction was evaluated with the use of an artificial neural network (ANN). The architecture of the
used ANN was 4-5-1 and the obtained overall regression coefficient was 0.98729. The comparison of
the predicting methods showed that ANN is more efficient in predicting wear.
PB  - Switzerland : Multidisciplinary Digital Publishing Institute (MDPI)
T2  - Lubricants
T1  - Influence of Al2O3 Nanoparticles Addition in ZA-27 Alloy-Based Nanocomposites and Soft Computing Prediction
VL  - 11
IS  - 1
SP  - 24
DO  - 10.3390/lubricants11010024
ER  - 

@article{
author = "Vencl, Aleksandar and Svoboda, Petr and Klančnik, Simon and But, Adrian and Vorkapić, Miloš and Harničarova, Marta and Stojanović, Blaža",
year = "2023",
abstract = "Three different and very small amounts of alumina (0.2, 0.3 and 0.5 wt. %) in two sizes
(approx. 25 and 100 nm) were used to enhance the wear characteristics of ZA-27 alloy-based nanocomposites.
Production was realised through mechanical alloying in pre-processing and compocasting
processes. Wear tests were under lubricated sliding conditions on a block-on-disc tribometer, at two
sliding speeds (0.25 and 1 m/s), two normal loads (40 and 100 N) and a sliding distance of 1000 m.
Experimental results were analysed by applying the response surface methodology (RSM) and a
suitable mathematical model for the wear rate of tested nanocomposites was developed. Appropriate
wear maps were constructed and the wear mechanism is discussed in this paper. The accuracy of the
prediction was evaluated with the use of an artificial neural network (ANN). The architecture of the
used ANN was 4-5-1 and the obtained overall regression coefficient was 0.98729. The comparison of
the predicting methods showed that ANN is more efficient in predicting wear.",
publisher = "Switzerland : Multidisciplinary Digital Publishing Institute (MDPI)",
journal = "Lubricants",
title = "Influence of Al2O3 Nanoparticles Addition in ZA-27 Alloy-Based Nanocomposites and Soft Computing Prediction",
volume = "11",
number = "1",
pages = "24",
doi = "10.3390/lubricants11010024"
}

Vencl, A., Svoboda, P., Klančnik, S., But, A., Vorkapić, M., Harničarova, M.,& Stojanović, B.. (2023). Influence of Al2O3 Nanoparticles Addition in ZA-27 Alloy-Based Nanocomposites and Soft Computing Prediction. in Lubricants
Switzerland : Multidisciplinary Digital Publishing Institute (MDPI)., 11(1), 24.
https://doi.org/10.3390/lubricants11010024

Vencl A, Svoboda P, Klančnik S, But A, Vorkapić M, Harničarova M, Stojanović B. Influence of Al2O3 Nanoparticles Addition in ZA-27 Alloy-Based Nanocomposites and Soft Computing Prediction. in Lubricants. 2023;11(1):24.
doi:10.3390/lubricants11010024 .

Vencl, Aleksandar, Svoboda, Petr, Klančnik, Simon, But, Adrian, Vorkapić, Miloš, Harničarova, Marta, Stojanović, Blaža, "Influence of Al2O3 Nanoparticles Addition in ZA-27 Alloy-Based Nanocomposites and Soft Computing Prediction" in Lubricants, 11, no. 1 (2023):24,
https://doi.org/10.3390/lubricants11010024 . .

TY  - JOUR
AU  - Vencl, Aleksandar
AU  - Bobić, Ilija
AU  - Stanković, Miloš
AU  - Hvizdoš, Pavol
AU  - Bobić, Biljana
AU  - Stojanović, Blaža
AU  - Franek, Friedrich
PY  - 2020
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/3437
AB  - Metal matrix composites are very inhomogeneous materials, and their properties depend on various parameters (production process, constituents, their interfaces, etc.). The influence of SiC microparticles (40 mu m) reinforcement and graphite macroparticles (200-800 mu m) addition on the mechanical properties of Al-Si A356 alloy, produced by compocasting, has been assessed using macro- and nanoscale measurements of hardness and modulus of elasticity. The Al makes over 90 wt% of the A356 alloy, so the nanoscale measurements were performed on different alpha phase regions on each material (core of alpha phase, eutectic alpha phase, and alpha phase near the phase boundaries alpha phase/secondary phases). The results showed that there is no direct correlation between mechanical properties on macro- and nanoscale. The nanoscale results also showed that the secondary phases (SiC and graphite particles) can have significant effect on the mechanical properties on the atomic level, i.e. in the alpha phase regions very close to the secondary phases.
PB  - Springer
T2  - Journal of the Brazilian Society of Mechanical Sciences and Engineering
T1  - Influence of secondary phases in A356 MMCs on their mechanical properties at macro- and nanoscale
VL  - 42
IS  - 3
SP  - 115
DO  - 10.1007/s40430-020-2197-6
ER  - 

@article{
author = "Vencl, Aleksandar and Bobić, Ilija and Stanković, Miloš and Hvizdoš, Pavol and Bobić, Biljana and Stojanović, Blaža and Franek, Friedrich",
year = "2020",
abstract = "Metal matrix composites are very inhomogeneous materials, and their properties depend on various parameters (production process, constituents, their interfaces, etc.). The influence of SiC microparticles (40 mu m) reinforcement and graphite macroparticles (200-800 mu m) addition on the mechanical properties of Al-Si A356 alloy, produced by compocasting, has been assessed using macro- and nanoscale measurements of hardness and modulus of elasticity. The Al makes over 90 wt% of the A356 alloy, so the nanoscale measurements were performed on different alpha phase regions on each material (core of alpha phase, eutectic alpha phase, and alpha phase near the phase boundaries alpha phase/secondary phases). The results showed that there is no direct correlation between mechanical properties on macro- and nanoscale. The nanoscale results also showed that the secondary phases (SiC and graphite particles) can have significant effect on the mechanical properties on the atomic level, i.e. in the alpha phase regions very close to the secondary phases.",
publisher = "Springer",
journal = "Journal of the Brazilian Society of Mechanical Sciences and Engineering",
title = "Influence of secondary phases in A356 MMCs on their mechanical properties at macro- and nanoscale",
volume = "42",
number = "3",
pages = "115",
doi = "10.1007/s40430-020-2197-6"
}

Vencl, A., Bobić, I., Stanković, M., Hvizdoš, P., Bobić, B., Stojanović, B.,& Franek, F.. (2020). Influence of secondary phases in A356 MMCs on their mechanical properties at macro- and nanoscale. in Journal of the Brazilian Society of Mechanical Sciences and Engineering
Springer., 42(3), 115.
https://doi.org/10.1007/s40430-020-2197-6

Vencl A, Bobić I, Stanković M, Hvizdoš P, Bobić B, Stojanović B, Franek F. Influence of secondary phases in A356 MMCs on their mechanical properties at macro- and nanoscale. in Journal of the Brazilian Society of Mechanical Sciences and Engineering. 2020;42(3):115.
doi:10.1007/s40430-020-2197-6 .

Vencl, Aleksandar, Bobić, Ilija, Stanković, Miloš, Hvizdoš, Pavol, Bobić, Biljana, Stojanović, Blaža, Franek, Friedrich, "Influence of secondary phases in A356 MMCs on their mechanical properties at macro- and nanoscale" in Journal of the Brazilian Society of Mechanical Sciences and Engineering, 42, no. 3 (2020):115,
https://doi.org/10.1007/s40430-020-2197-6 . .