Veličković, Sandra

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  • Veličković, Sandra (2)
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Author's Bibliography

Parametric optimization of the aluminium nanocomposites wear rate

Veličković, Sandra; Stojanović, Blaža; Babić, Miroslav; Vencl, Aleksandar; Bobić, Ilija; Vadaszne Bognar, Gabriella; Vučetić, Filip

(2019)

TY  - JOUR
AU  - Veličković, Sandra
AU  - Stojanović, Blaža
AU  - Babić, Miroslav
AU  - Vencl, Aleksandar
AU  - Bobić, Ilija
AU  - Vadaszne Bognar, Gabriella
AU  - Vučetić, Filip
PY  - 2019
UR  - http://link.springer.com/10.1007/s40430-018-1531-8
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/8077
AB  - The optimization of wear rate of the nanocomposites with A356 aluminium alloy matrix, reinforced with silicon carbide nanoparticles, was performed through the analysis of the following influences: wt% of the reinforcement, normal load and sliding speed. The 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%. Tribological tests were performed on 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 at sliding distance of 1000 m. Analysis of variance (ANOVA) was applied to determine the influence of different parameters on wear value of tested nanocomposites. It was noticed from ANOVA analysis that normal load, with 33.39%, is the most significant factor affecting the wear rate of nanocomposites. The amount of reinforcement, with 28.90%, also has a significant influence on the wear rate, while the influence of sliding speed, with 23.82%, is smaller. It was found that the prediction of wear rate, by using regression model and Taguchi analysis, were close to the experimental values. © The Brazilian Society of Mechanical Sciences and Engineering 2018.
T2  - Journal of the Brazilian Society of Mechanical Sciences and Engineering
T1  - Parametric optimization of the aluminium nanocomposites wear rate
VL  - 41
IS  - 1
SP  - 19
DO  - 10.1007/s40430-018-1531-8
ER  - 
@article{
author = "Veličković, Sandra and Stojanović, Blaža and Babić, Miroslav and Vencl, Aleksandar and Bobić, Ilija and Vadaszne Bognar, Gabriella and Vučetić, Filip",
year = "2019",
abstract = "The optimization of wear rate of the nanocomposites with A356 aluminium alloy matrix, reinforced with silicon carbide nanoparticles, was performed through the analysis of the following influences: wt% of the reinforcement, normal load and sliding speed. The 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%. Tribological tests were performed on 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 at sliding distance of 1000 m. Analysis of variance (ANOVA) was applied to determine the influence of different parameters on wear value of tested nanocomposites. It was noticed from ANOVA analysis that normal load, with 33.39%, is the most significant factor affecting the wear rate of nanocomposites. The amount of reinforcement, with 28.90%, also has a significant influence on the wear rate, while the influence of sliding speed, with 23.82%, is smaller. It was found that the prediction of wear rate, by using regression model and Taguchi analysis, were close to the experimental values. © The Brazilian Society of Mechanical Sciences and Engineering 2018.",
journal = "Journal of the Brazilian Society of Mechanical Sciences and Engineering",
title = "Parametric optimization of the aluminium nanocomposites wear rate",
volume = "41",
number = "1",
pages = "19",
doi = "10.1007/s40430-018-1531-8"
}
Veličković, S., Stojanović, B., Babić, M., Vencl, A., Bobić, I., Vadaszne Bognar, G.,& Vučetić, F.. (2019). Parametric optimization of the aluminium nanocomposites wear rate. in Journal of the Brazilian Society of Mechanical Sciences and Engineering, 41(1), 19.
https://doi.org/10.1007/s40430-018-1531-8
Veličković S, Stojanović B, Babić M, Vencl A, Bobić I, Vadaszne Bognar G, Vučetić F. Parametric optimization of the aluminium nanocomposites wear rate. in Journal of the Brazilian Society of Mechanical Sciences and Engineering. 2019;41(1):19.
doi:10.1007/s40430-018-1531-8 .
Veličković, Sandra, Stojanović, Blaža, Babić, Miroslav, Vencl, Aleksandar, Bobić, Ilija, Vadaszne Bognar, Gabriella, Vučetić, Filip, "Parametric optimization of the aluminium nanocomposites wear rate" in Journal of the Brazilian Society of Mechanical Sciences and Engineering, 41, no. 1 (2019):19,
https://doi.org/10.1007/s40430-018-1531-8 . .
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Optimization of tribological properties of aluminum hybrid composites using Taguchi design

Veličković, Sandra; Stojanović, Blaža; Babić, Miroslav; Bobić, Ilija

(2017)

TY  - JOUR
AU  - Veličković, Sandra
AU  - Stojanović, Blaža
AU  - Babić, Miroslav
AU  - Bobić, Ilija
PY  - 2017
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/1631
AB  - This paper analyses the influence of graphite reinforcement, load and sliding speed with constant sliding distance on tribological behavior of A356 aluminum matrix composites reinforced with 10wt.% silicon carbide and graphite using the Taguchi design. Hybrid composites were produced in the compo-casting process. Tribological tests were performed on a block-on-disc tribometer where the weight percentage of graphite has three variations (0, 3, and 5), as well as load (10 N, 20 N, and 30 N) and sliding speed (0.25m/s, 0.5m/s, and 1m/s), with sliding distance of 300m. The wear of the composite is investigated under dry sliding condition. The specific wear rate was analyzed using Taguchi method with the aim of finding the optimal parameters. By applying analysis of variance, it was determined that the best tribological properties has A356/10SiC/3Gr hybrid composite. It was also found that the greatest impact on specific wear rate has load with the percentage effect of 69.163%, then sliding speed with 14.426% and the interaction between wt.% graphite and load. The dominant wear mechanism is adhesive wear as confirmed by scanning electron microscopy with energy dispersive spectroscopy (SEM-EDS).
T2  - Journal of Composite Materials
T1  - Optimization of tribological properties of aluminum hybrid composites using Taguchi design
VL  - 51
IS  - 17
SP  - 2505
EP  - 2515
DO  - 10.1177/0021998316672294
ER  - 
@article{
author = "Veličković, Sandra and Stojanović, Blaža and Babić, Miroslav and Bobić, Ilija",
year = "2017",
abstract = "This paper analyses the influence of graphite reinforcement, load and sliding speed with constant sliding distance on tribological behavior of A356 aluminum matrix composites reinforced with 10wt.% silicon carbide and graphite using the Taguchi design. Hybrid composites were produced in the compo-casting process. Tribological tests were performed on a block-on-disc tribometer where the weight percentage of graphite has three variations (0, 3, and 5), as well as load (10 N, 20 N, and 30 N) and sliding speed (0.25m/s, 0.5m/s, and 1m/s), with sliding distance of 300m. The wear of the composite is investigated under dry sliding condition. The specific wear rate was analyzed using Taguchi method with the aim of finding the optimal parameters. By applying analysis of variance, it was determined that the best tribological properties has A356/10SiC/3Gr hybrid composite. It was also found that the greatest impact on specific wear rate has load with the percentage effect of 69.163%, then sliding speed with 14.426% and the interaction between wt.% graphite and load. The dominant wear mechanism is adhesive wear as confirmed by scanning electron microscopy with energy dispersive spectroscopy (SEM-EDS).",
journal = "Journal of Composite Materials",
title = "Optimization of tribological properties of aluminum hybrid composites using Taguchi design",
volume = "51",
number = "17",
pages = "2505-2515",
doi = "10.1177/0021998316672294"
}
Veličković, S., Stojanović, B., Babić, M.,& Bobić, I.. (2017). Optimization of tribological properties of aluminum hybrid composites using Taguchi design. in Journal of Composite Materials, 51(17), 2505-2515.
https://doi.org/10.1177/0021998316672294
Veličković S, Stojanović B, Babić M, Bobić I. Optimization of tribological properties of aluminum hybrid composites using Taguchi design. in Journal of Composite Materials. 2017;51(17):2505-2515.
doi:10.1177/0021998316672294 .
Veličković, Sandra, Stojanović, Blaža, Babić, Miroslav, Bobić, Ilija, "Optimization of tribological properties of aluminum hybrid composites using Taguchi design" in Journal of Composite Materials, 51, no. 17 (2017):2505-2515,
https://doi.org/10.1177/0021998316672294 . .
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