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Bongale, Arunkumar
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Publications (5/5 displayed)
- 2024Multi-Objective Optimization of Friction Stir Processing Tool with Composite Material Parameters
- 2023Wear performance analysis of B<sub>4</sub>C and graphene particles reinforced Al–Cu alloy based composites using Taguchi methodcitations
- 2023Microstructural and sensor data analysis of friction stir processing in fabricating Al6061 surface compositescitations
- 2023Tribological and Hardness Analyses of Friction-Stir-Processed Composites Using the Taguchi Approachcitations
- 2022Investigation of microstructural and wear behavior of Al6061 surface composites fabricated by friction stir process using Taguchi approachcitations
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article
Wear performance analysis of B<sub>4</sub>C and graphene particles reinforced Al–Cu alloy based composites using Taguchi method
Abstract
<jats:title>Abstract</jats:title><jats:p>In this study, the wear performance of boron carbide (B<jats:sub>4</jats:sub>C) and graphene (Gr) particles reinforced Al–Cu alloy composites was investigated. The composite samples were made using the solid-state manufacturing process. The wear performance was assessed using a pin-on-disc tribometer. The Taguchi optimization approach was used to determine the performance of each parameter. All experiments were carried out using the L27 array, which included three sets of parameters such as applied load, disc speed, and reinforcement percentage. The ANOVA approach was used to examine the impact of each parameter. According to the findings, the weight on the pin has the greatest influence on wear, followed by sliding speed and reinforcing percentage. The addition of B<jats:sub>4</jats:sub>C particles improves the wear resistance, and the Gr functions as a self-lubricating agent while in use. Scanning electron microscope analysis of worn-out samples revealed an abrasive type of wear process.</jats:p>