Optimization of Stir Casting Process Parameters for Fabrication of A6082-SNSA/MWCNT Hybrid Composites: Taguchi Approach DOI
Mohammed Abdullahi,

Mohammed Dauda,

Malachy Sumaila

et al.

Published: May 14, 2025

Abstract This research investigates the influence of four stir different casting parameters— weight percentage Shea nut shell ash (SNSA), Multi-walled carbon nanotubes (MWCNT), stirring speed (SS), and time (ST) on density (D), hardness (H), compressive strength (C.S), coefficient friction (CoF), specific wear rate (SWR) developed A6082-SNSA/MWCNT hybrid composites. Taguchi L9 orthogonal array design grey relational analysis (GRA) were employed for multi-objective optimization, with aim to minimize D SWR while maximizing H, C.S, CoF. X-ray fluorescence (XRF) confirmed that SNSA is rich in reinforcing oxides such as SiO₂, Al₂O₃, Fe₂O₃, diffraction (XRD) revealed strong crystalline peaks SiO₂ supporting phases, validates suitability a reinforcement material. Optimal processing parameters 4 wt% SNSA, 3 MWCNT, 450 rpm speed, 4.5 minutes determined. ANOVA results MWCNT content most statistically significant factors affecting composite properties (p < 0.05). Scanning Electron Microscopy (SEM) optimized showed uniform distribution particles some process-induced defects cracks, voids, agglomerations. XRD also suggested formation interfacial Niobocarbide (NbCO) detection MWCNTs was limited, potentially due their low concentration or machine limitations. These findings demonstrate viability using optimization A6082-based composites enhanced mechanical tribological performance.

Language: Английский

Optimization of Stir Casting Process Parameters for Fabrication of A6082-SNSA/MWCNT Hybrid Composites: Taguchi Approach DOI
Mohammed Abdullahi,

Mohammed Dauda,

Malachy Sumaila

et al.

Published: May 14, 2025

Abstract This research investigates the influence of four stir different casting parameters— weight percentage Shea nut shell ash (SNSA), Multi-walled carbon nanotubes (MWCNT), stirring speed (SS), and time (ST) on density (D), hardness (H), compressive strength (C.S), coefficient friction (CoF), specific wear rate (SWR) developed A6082-SNSA/MWCNT hybrid composites. Taguchi L9 orthogonal array design grey relational analysis (GRA) were employed for multi-objective optimization, with aim to minimize D SWR while maximizing H, C.S, CoF. X-ray fluorescence (XRF) confirmed that SNSA is rich in reinforcing oxides such as SiO₂, Al₂O₃, Fe₂O₃, diffraction (XRD) revealed strong crystalline peaks SiO₂ supporting phases, validates suitability a reinforcement material. Optimal processing parameters 4 wt% SNSA, 3 MWCNT, 450 rpm speed, 4.5 minutes determined. ANOVA results MWCNT content most statistically significant factors affecting composite properties (p < 0.05). Scanning Electron Microscopy (SEM) optimized showed uniform distribution particles some process-induced defects cracks, voids, agglomerations. XRD also suggested formation interfacial Niobocarbide (NbCO) detection MWCNTs was limited, potentially due their low concentration or machine limitations. These findings demonstrate viability using optimization A6082-based composites enhanced mechanical tribological performance.

Language: Английский

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