Experimental optimisation of the tribological behaviour of Al/SiC/Gr hybrid composites based on Taguchi’s method and artificial neural network

Stojаnović, Blaža; Vencl, Aleksandar; Bobić, Ilija; Miladinović, Slavica; Skerlić, Jasmina

doi:10.1007/s40430-018-1237-y

Cited by 49 publications

(28 citation statements)

References 16 publications

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“…SN relations can be divided into three type characteristics, i.e. smalleris-better, larger-is-better and nominal-is-best [15][16][17]. In this study, smaller-is-better-type characteristic was taken, and SN ratio is calculated by using the following equation:…”

Section: Experimental Designmentioning

confidence: 99%

Parametric optimization of the aluminium nanocomposites wear rate

Veličković

Stojаnović

Babić

et al. 2018

J Braz. Soc. Mech. Sci. Eng.

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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.

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Section: Experimental Designmentioning

confidence: 99%

Parametric optimization of the aluminium nanocomposites wear rate

Veličković

Stojаnović

Babić

et al. 2018

J Braz. Soc. Mech. Sci. Eng.

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“…Based on the formed statistical model, in the tribological investigation under lubricated sliding condition in [ 20 ], it was concluded that, with increasing contact load, an increase in wear rate appears. The opposite effect causes an increase in speed and the addition of graphite.…”

Section: Resultsmentioning

confidence: 99%

“…The presence of Fe is discovered based on the material transfer from the disc to the block. Based on the EDS analysis, it may be concluded that transferred material consists of a mixture of graphite, oxides and composite parts [ 20 , 33 , 40 ].…”

Section: Resultsmentioning

confidence: 99%

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Wear Behaviour of ZA27/SiC/Graphite Composites under Lubricated Sliding Conditions

2020

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The composites samples based on ZA27 alloy were subjected to tribological tests and the observed results are presented in this paper. The samples (ZA27/5%SiC and ZA27/5%SiC/5%Gr) were obtained by compo-casting technique. Their wear behaviour was compared to the base alloy. The wear tests were done by using a block-on-disc tribometer under lubricated sliding conditions. Tribological investigation were conducted for three normal loads (40 N, 80 N, and 120 N), three sliding speeds (0.25 m/s, 0.5 m/s, and 1 m/s), and sliding distance of 1200 m. The tested materials were analysed by the scanning electronic microscope (SEM) and the energy dispersive spectrometry (EDS). The presence of oil lubricant improved the wear resistance and friction behaviour of both composites and base alloy. The tested composites show much higher wear resistance than the corresponding matrix material. It was established that the ZA27/5%SiC/5%Gr hybrid composite has best tribological properties.

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“…The study has been reported that different wear parameters affect sliding speed and wear characteristics [13–16]. The tribo‐logical characteristics of Al−Cu/silicon carbide metal‐matrix composite indicate with increase in mechanical properties, the wear‐resistance increases sharply and it affects the surface predominately [17–20]. Based on the above description, the study attempted to enhance the dry sliding wear behavior of aluminum composites reinforced with silicon carbide particles at varying speeds and loads, so that this will more appropriate and adapted to difficult conditions.…”

Section: Introductionmentioning

confidence: 99%

Investigations into dry‐sliding wear behaviour of a novel composite (aluminium‐magnesium‐silicon‐copper‐silicon carbide) produced by powder metallurgy route

Behera

Samal

Panigrahi

2021

Materialwissenschaft Werkst

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Metal-matrix aluminium composites are satisfactory successor not only for steels, but also for aluminium-alloys in several automotive units and components. There are various paths to get lightweight materials without compromising their toughness, strength and safety demands. Tests on dry-sliding or un-lubricated pin-ondisc tests can be performed to obtain the wear-characteristics of metal-matrix composites built on aluminum. In the present study, we studied the behavior of wear resistance during sliding of metal matrix aluminium composites (AMMC) at sliding speeds of 1.5 m/s and loads of 20 N and 40 N in a normal environment, and experiments have been conducted using pin-on-disk tribometer (Make: DU-COM tribometer). The composites were manufactured by powder treatment and presented a number of problems, such as defective bonds and inter-facial product reactions, which alter the tribological and mechanical properties. The results have shown that wear-rates of the prepared composites are much lesser than those of matrix-alloy and decreased further with increasing silicon carbide content. As the normal loads increases, the cracks and combination of abrasions, delimitation and wear of the adhesives of silicon carbide particles were observed. The composite samples were studied using a scanning electron microscope before and after the wear tests and systematically analysed.

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Experimental optimisation of the tribological behaviour of Al/SiC/Gr hybrid composites based on Taguchi’s method and artificial neural network

Cited by 49 publications

References 16 publications

Parametric optimization of the aluminium nanocomposites wear rate

Parametric optimization of the aluminium nanocomposites wear rate

Wear Behaviour of ZA27/SiC/Graphite Composites under Lubricated Sliding Conditions

Investigations into dry‐sliding wear behaviour of a novel composite (aluminium‐magnesium‐silicon‐copper‐silicon carbide) produced by powder metallurgy route

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