Metal Matrix Composites (MMCs) based on Aluminum Alloys 2024, 6061 and 7075 reinforced with Graphene was fabricated using powder metallurgy process followed by hot extrusion process. The extruded samples were used for conducting the turning experiments to evaluate the machinability of the developed composites. Turning experiments were conducted in ACE Micromatic made CNC lathe as per the Design of Experiments (DOE) designed using L18 Taguchi’s mixed orthogonal array. Uncoated and DLC coated carbide inserts, along with three levels of cutting speeds, feed rates and depths of cut were considered for the turning experiments. During the experiments the cutting force generated was recorded “online” and subsequent to the experimentation the surface roughness generated on the work piece and the surface hardness for every trial were recorded. The influence of the cutting tool material and other cutting parameters on the machinability of composites was analyzed using ANOVA. The microstructural observation on the surface of the machined specimen reveals the detachment of reinforcement materials from the composite and their impact of the surface quality.
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ASME 2017 International Mechanical Engineering Congress and Exposition
November 3–9, 2017
Tampa, Florida, USA
Conference Sponsors:
- ASME
ISBN:
978-0-7918-5835-6
PROCEEDINGS PAPER
Machinability Analysis of Aluminum Alloy-Graphene Metal Matrix Composites Using Uncoated and DLC-Coated Carbide Insert
M. Anthony Xavior
M. Anthony Xavior
VIT University, Vellore, India
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J. Joel
VIT University, Vellore, India
M. Anthony Xavior
VIT University, Vellore, India
Paper No:
IMECE2017-70098, V002T02A002; 9 pages
Published Online:
January 10, 2018
Citation
Joel, J, & Anthony Xavior, M. "Machinability Analysis of Aluminum Alloy-Graphene Metal Matrix Composites Using Uncoated and DLC-Coated Carbide Insert." Proceedings of the ASME 2017 International Mechanical Engineering Congress and Exposition. Volume 2: Advanced Manufacturing. Tampa, Florida, USA. November 3–9, 2017. V002T02A002. ASME. https://doi.org/10.1115/IMECE2017-70098
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