Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/27256
Title: Machinability Study on AA6061/2 SiC / Graphite Hybrid Nanocomposites Fabricated through Ultrasonic Assisted Stir Casting
Authors: Lagisetti V.K.
Reddy A.P.
Sukjamsri C.
Krishna P.V.
Keywords: Graphite
Hybrid nanocomposite
Machinability
Silicon carbide
Turning
Issue Date: 2022
Publisher: Universiti Malaysia Pahang
Abstract: Aluminium-based hybrid metal matrix nanocomposites (AA-HMNCs) have numerous applications due to their higher strength-to-weight ratio and good mechanical and tribological properties. However, the machinability aspect of these materials must be carefully explored before employing them in various engineering applications. The present study involves the fabrication of AA6061/2 wt.% SiC/x wt.% graphite (x= 1, 2, 3) hybrid nanocomposites and subsequently subjecting them to machinability investigation. All the hybrid nanocomposite samples are fabricated through ultrasonic assisted stir casting technique. The effect of machining parameters and graphite content of the sample on cutting force and surface roughness is discussed based on experimental data. Experiments are performed based on the central composite design of response surface methodology, and the corresponding output responses are recorded. ANOVA analysis revealed that the graphite content has the highest authority over surface roughness and cutting force. High cutting speeds accompanied by low feed and depth of cut have resulted in reduced cutting forces and better surface finish. Chip morphology studies have also subsequently indicated better machinability with increased graphite content. © The Authors 2022. Published by University Malaysia Pahang Publishing. This is an open access article under the CC BY license.
URI: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139988512&doi=10.15282%2fijame.19.3.2022.07.0767&partnerID=40&md5=cd49c5298ba6021f49344caa7c5c753e
https://ir.swu.ac.th/jspui/handle/123456789/27256
ISSN: 22298649
Appears in Collections:Scopus 2022

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