Parametric optimization of the aluminium nanocomposites wear rate
Само за регистроване кориснике
2019
Аутори
Veličković, SandraStojanović, Blaža
Babić, Miroslav
Vencl, Aleksandar
Bobić, Ilija
Bognár, Gabriella
Vučetić, Filip
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
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 50nm, 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 1m/s), two normal loads (40 and 100N) and at sliding distance of 1000m. 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.
Кључне речи:
Wear rate / Taguchi method / Nanocomposite / Compocasting / ANOVA / A356 alloyИзвор:
Journal of The Brazilian Society of Mechanical Sciences and Engineering, 2019, 41, 1Издавач:
- Springer Heidelberg, Heidelberg
Финансирање / пројекти:
- Republic of Serbia and Hungary [451-03-02294/2015-09/9, TET_16-1-2016-0164]
- Развој триболошких микро/нано двокомпонентних и хибридних самоподмазујућих композита (RS-MESTD-Technological Development (TD or TR)-35021)
- Истраживање и оптимизација технолошких и функционалних перформанси вентилационог млина термоелектране Костолац Б (RS-MESTD-Technological Development (TD or TR)-34028)
DOI: 10.1007/s40430-018-1531-8
ISSN: 1678-5878
WoS: 000452725000009
Scopus: 2-s2.0-85062092958
Институција/група
Inovacioni centarTY - JOUR AU - Veličković, Sandra AU - Stojanović, Blaža AU - Babić, Miroslav AU - Vencl, Aleksandar AU - Bobić, Ilija AU - Bognár, Gabriella AU - Vučetić, Filip PY - 2019 UR - https://machinery.mas.bg.ac.rs/handle/123456789/3176 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 50nm, 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 1m/s), two normal loads (40 and 100N) and at sliding distance of 1000m. 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. PB - Springer Heidelberg, Heidelberg T2 - Journal of The Brazilian Society of Mechanical Sciences and Engineering T1 - Parametric optimization of the aluminium nanocomposites wear rate IS - 1 VL - 41 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 Bognár, 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 50nm, 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 1m/s), two normal loads (40 and 100N) and at sliding distance of 1000m. 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.", publisher = "Springer Heidelberg, Heidelberg", journal = "Journal of The Brazilian Society of Mechanical Sciences and Engineering", title = "Parametric optimization of the aluminium nanocomposites wear rate", number = "1", volume = "41", doi = "10.1007/s40430-018-1531-8" }
Veličković, S., Stojanović, B., Babić, M., Vencl, A., Bobić, I., Bognár, G.,& Vučetić, F.. (2019). Parametric optimization of the aluminium nanocomposites wear rate. in Journal of The Brazilian Society of Mechanical Sciences and Engineering Springer Heidelberg, Heidelberg., 41(1). https://doi.org/10.1007/s40430-018-1531-8
Veličković S, Stojanović B, Babić M, Vencl A, Bobić I, Bognár 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). doi:10.1007/s40430-018-1531-8 .
Veličković, Sandra, Stojanović, Blaža, Babić, Miroslav, Vencl, Aleksandar, Bobić, Ilija, Bognár, 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), https://doi.org/10.1007/s40430-018-1531-8 . .