Comparative Analysis of Hybrid Composites Based on A356 and ZA-27 Alloys regarding Their Tribological Behaviour

Comparative Analysis of Hybrid Composites Based on A356 and ZA-27 Alloys regarding Their Tribological Behaviour

Článek WoS

The comparative analysis of the two hybrid composites, obtained by the compocasting process, based on A356 and ZA-27 alloys and reinforced with 10 wt. % SiC and 0, 1 and 3 wt. % graphite (Gr) is presented. Optimisation of their tribological behaviour was performed by the Taguchi method and the artificial neural network (ANN). Tribological tests were performed on a block-on-disk tribometer, at three sliding speeds, three normal loads and a sliding distance of 600 m, without lubrication. Results obtained by the ANOVA showed that the hybrid composites based on A356 alloy have the better wear resistance and that the composite reinforced with 10 wt. % SiC and 1 wt. % Gr has the lowest wear rate. The lowest coefficient of friction was obtained for a composite based on ZA-27 alloy reinforced with 10 wt. % SiC, at a normal load of 10 N and sliding speed of 1 m/s.

The comparative analysis of the two hybrid composites, obtained by the compocasting process, based on A356 and ZA-27 alloys and reinforced with 10 wt. % SiC and 0, 1 and 3 wt. % graphite (Gr) is presented. Optimisation of their tribological behaviour was performed by the Taguchi method and the artificial neural network (ANN). Tribological tests were performed on a block-on-disk tribometer, at three sliding speeds, three normal loads and a sliding distance of 600 m, without lubrication. Results obtained by the ANOVA showed that the hybrid composites based on A356 alloy have the better wear resistance and that the composite reinforced with 10 wt. % SiC and 1 wt. % Gr has the lowest wear rate. The lowest coefficient of friction was obtained for a composite based on ZA-27 alloy reinforced with 10 wt. % SiC, at a normal load of 10 N and sliding speed of 1 m/s.

wear, hybrid composites, A356, ZA-27, Taguchi design, artificial neural network

wear, hybrid composites, A356, ZA-27, Taguchi design, artificial neural network

STOJANOVIĆ, B.; GAJEVIĆ, S.; MILORADOVIĆ, N.; NIKOLIĆ, R.; MILADINOVIĆ, S.; SVOBODA, P.; VENCL, A.

2024

19.06.2023

University of Žilina

1335-4205

Communications

25

3

Slovenská republika

B215

B227

13

https://komunikacie.uniza.sk/corproof.php?tartkey=csl-000000-2078

http://hdl.handle.net/11012/213667

CSL_csl-202303-0017