Taguchi-based grey relational analysis for multi-response optimization of the characteristics of HRAMMCs reinforced with agro-waste and SiC produced by ultrasonic-assisted bottom pour two-stage stir casting

This study aims to examine the impact of agricultural waste materials—specifically silicon carbide (SiC) and palm sprout shell ash (PSSA)—on the mechanical properties, including density, porosity, tensile strength, compression strength, impact strength, and hardness, as well as the tribological beha...

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Veröffentlicht in:	Materials research express 2024-10, Vol.11 (10), p.105013
Hauptverfasser:	Tenali, Nagaraju, Ganesan, G, Babu, P Ravindra
Format:	Artikel
Sprache:	eng
Schlagworte:	Abrasive wear Adhesive wear Agricultural wastes Alloys Aluminum base alloys ANOVA Bottom casting Bottom pouring Coefficient of friction Composite materials Content analysis Density Design of experiments Diamond pyramid hardness Ductile fracture Flexural strength Fracture surfaces fractured surface analysis grey relational analysis hybrid reinforcement Impact analysis Impact strength Mathematical models Mechanical properties metal matrix composite multi objective optimization Optimization Porosity Silicon carbide Stirring Surface analysis (chemical) taguchi method Tensile strength Tribology Variance analysis
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