TY  - JOUR
AU  - Vencl, Aleksandar
AU  - Svoboda, Petr
AU  - Klančnik, Simon
AU  - But, Adrian
AU  - Vorkapić, Miloš
AU  - Harničárová, Marta
AU  - Stojanović, Blaža
PY  - 2023
UR  - https://www.mdpi.com/2075-4442/11/1/24
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/7339
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.
T2  - Lubricants
T1  - Influence of Al2O3 nanoparticles addition in ZA-27 alloy-based nanocomposites and soft computing prediction
IS  - 1
SP  - 24
VL  - 11
DO  - 10.3390/lubricants11010024
ER  - 

@article{
author = "Vencl, Aleksandar and Svoboda, Petr and Klančnik, Simon and But, Adrian and Vorkapić, Miloš and Harničárová, 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.",
journal = "Lubricants",
title = "Influence of Al2O3 nanoparticles addition in ZA-27 alloy-based nanocomposites and soft computing prediction",
number = "1",
pages = "24",
volume = "11",
doi = "10.3390/lubricants11010024"
}

Vencl, A., Svoboda, P., Klančnik, S., But, A., Vorkapić, M., Harničárová, M.,& Stojanović, B.. (2023). Influence of Al2O3 nanoparticles addition in ZA-27 alloy-based nanocomposites and soft computing prediction. in Lubricants, 11(1), 24.
https://doi.org/10.3390/lubricants11010024

Vencl A, Svoboda P, Klančnik S, But A, Vorkapić M, Harničárová 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, Harničárová, 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  - Kandeva, Mara
AU  - Zagorski, Mihail
AU  - Nikolić, Ruzica
AU  - Stojanović, Blaža
AU  - But, Adrian
AU  - Botko, Frantisek
AU  - Pitel, Jan
AU  - Vencl, Aleksandar
PY  - 2022
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3759
AB  - The nickel (Ni) coatings without and with embedded (5-7 vol. %) cubic boron nitride (c-BN) nanoparticles (10 nm in diameter) were deposited on carbon steel substrate by an electroless plating process. Coatings were tested in as-deposited and heat-treated (heating at 300 degrees C for 6 h) conditions. Coating structure characterisation was performed, as well as hardness and roughness measurements. Friction properties were tested in dry and in water (seawater) lubricated contact conditions, with bronze as a counter-body material. Both static and kinetic coefficients of friction were measured for two different surface texture preparations (initial and working). The first surface texture simulated the running-in condition, and the second surface texture represented the steady-state conditions. The enhancement of the abrasive and erosive wear resistance of heat-treated electroless Ni coatings with embedded c-BN nanoparticles was already proved in our previous studies. This study aims to investigate those influences on friction properties of electroless Ni coatings in different sliding conditions. The results show that the coefficients of friction did not differ too much between the coatings and that the surface roughness and presence of seawater had a much stronger influence.
PB  - MDPI, Basel
T2  - Coatings
T1  - Friction properties of the heat-treated electroless Ni coatings embedded with c-BN nanoparticles
IS  - 7
VL  - 12
DO  - 10.3390/coatings12071008
ER  - 

@article{
author = "Kandeva, Mara and Zagorski, Mihail and Nikolić, Ruzica and Stojanović, Blaža and But, Adrian and Botko, Frantisek and Pitel, Jan and Vencl, Aleksandar",
year = "2022",
abstract = "The nickel (Ni) coatings without and with embedded (5-7 vol. %) cubic boron nitride (c-BN) nanoparticles (10 nm in diameter) were deposited on carbon steel substrate by an electroless plating process. Coatings were tested in as-deposited and heat-treated (heating at 300 degrees C for 6 h) conditions. Coating structure characterisation was performed, as well as hardness and roughness measurements. Friction properties were tested in dry and in water (seawater) lubricated contact conditions, with bronze as a counter-body material. Both static and kinetic coefficients of friction were measured for two different surface texture preparations (initial and working). The first surface texture simulated the running-in condition, and the second surface texture represented the steady-state conditions. The enhancement of the abrasive and erosive wear resistance of heat-treated electroless Ni coatings with embedded c-BN nanoparticles was already proved in our previous studies. This study aims to investigate those influences on friction properties of electroless Ni coatings in different sliding conditions. The results show that the coefficients of friction did not differ too much between the coatings and that the surface roughness and presence of seawater had a much stronger influence.",
publisher = "MDPI, Basel",
journal = "Coatings",
title = "Friction properties of the heat-treated electroless Ni coatings embedded with c-BN nanoparticles",
number = "7",
volume = "12",
doi = "10.3390/coatings12071008"
}

Kandeva, M., Zagorski, M., Nikolić, R., Stojanović, B., But, A., Botko, F., Pitel, J.,& Vencl, A.. (2022). Friction properties of the heat-treated electroless Ni coatings embedded with c-BN nanoparticles. in Coatings
MDPI, Basel., 12(7).
https://doi.org/10.3390/coatings12071008

Kandeva M, Zagorski M, Nikolić R, Stojanović B, But A, Botko F, Pitel J, Vencl A. Friction properties of the heat-treated electroless Ni coatings embedded with c-BN nanoparticles. in Coatings. 2022;12(7).
doi:10.3390/coatings12071008 .

Kandeva, Mara, Zagorski, Mihail, Nikolić, Ruzica, Stojanović, Blaža, But, Adrian, Botko, Frantisek, Pitel, Jan, Vencl, Aleksandar, "Friction properties of the heat-treated electroless Ni coatings embedded with c-BN nanoparticles" in Coatings, 12, no. 7 (2022),
https://doi.org/10.3390/coatings12071008 . .