<abstract xmlns="http://www.w3.org/1999/xhtml">

Aluminium-based hybrid nano-metal matrix composites are right materials, finding application in the aerospace and automotive industry. The present research focused on the effects of sliding load, sliding velocity, and temperature on wear behaviour of a novel hybrid metal matrix nano-composite .Stir-squeeze casting setup is used to produce the composites. The base metal is scrap aluminium alloy wheel (SAAW) reinforced with 1, 2, wt.% and 5.5, 7 wt.% of micro-sized alumina (Al2O3)m and nano-sized alumina (Al2O3)n particle respectively. An orthogonal array L9 (OA) has been used for designing the experiments. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is applied to find the optimal condition for Coefficient of Friction(COF),wear, surface roughness. Analysis of Variance (ANOVA) results show that the reinforcement contributes 19.40% and most influencing factor is sliding load with 62.33%. The samples tested were examined and analyzed using a Field Emission Scanning Electron Microscope (FESEM) and an energy-dispersive X-ray spectrometry (EDX). Additionally, a profilometer was used to measure the surface roughness of the worn-out specimen.
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Aluminium-based hybrid nano-metal matrix composites are right materials, finding application in the aerospace and automotive industry. The present research focused on the effects of sliding load, sliding velocity, and temperature on wear behaviour of a novel hybrid metal matrix nano-composite .Stir-squeeze casting setup is used to produce the composites. The base metal is scrap aluminium alloy wheel (SAAW) reinforced with 1, 2, wt.% and 5.5, 7 wt.% of micro-sized alumina (Al2O3)m and nano-sized alumina (Al2O3)n particle respectively. An orthogonal array L9 (OA) has been used for designing the experiments. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is applied to find the optimal condition for Coefficient of Friction(COF),wear, surface roughness. Analysis of Variance (ANOVA) results show that the reinforcement contributes 19.40% and most influencing factor is sliding load with 62.33%. The samples tested were examined and analyzed using a Field Emission Scanning Electron Microscope (FESEM) and an energy-dispersive X-ray spectrometry (EDX). Additionally, a profilometer was used to measure the surface roughness of the worn-out specimen.

Performance studies on hybrid nano-metal matrix composites for wear and surface quality

Materials Science-Poland

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Aluminium-based hybrid nano-metal matrix composites are right materials, finding application in the aerospace and automotive industry. The present research...

Performance studies on hybrid nano-metal matrix composites for wear and surface quality

Publié en ligne: 06 oct. 2023

Pages: 288 - 300

Reçu: 09 juin 2023

Accepté: 04 août 2023

DOI: https://doi.org/10.2478/msp-2023-0020

Mots clés
Scrap aluminium alloy wheel, applied load, temperature, sliding speed, abrasive wear

© 2023 Kannan P.R. et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Performance studies on hybrid nano-metal matrix composites for wear and surface quality

Publié en ligne: 06 oct. 2023

Pages: 288 - 300

Reçu: 09 juin 2023

Accepté: 04 août 2023

DOI: https://doi.org/10.2478/msp-2023-0020

Mots clésScrap aluminium alloy wheel, applied load, temperature, sliding speed, abrasive wear

© 2023 Kannan P.R. et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Mots clés
Scrap aluminium alloy wheel, applied load, temperature, sliding speed, abrasive wear