APPLICATION POTENTIAL OF RESPONSE SURFACE METHOD ON ELECTRO DISCHARGE MACHINING OF AA6061–CENOSPHERE AMCs PREPARED BY COMPOCASTING METHOD

Abhijit Dey, Krishna Murari Pandey, Ram Naresh Rai, Akhtar Khan and Anshuman Das
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Abhijit Dey: Department of Mechanical Engineering, National Institute of Technology, Srinagar, 190006, India
Krishna Murari Pandey: #x2020;Department of Mechanical Engineering, National Institute of Technology, Silchar, Assam, 788010, India
Ram Naresh Rai: #x2021;Department of Mechanical Engineering, National Institute of Technology, Agartala, Tripura, 799055, India
Akhtar Khan: #xA7;Department of Mechanical Engineering, Indian Institute of Information Technology, Design and Manufacturing, Kurnool, 518007, India
Anshuman Das: #xB6;Department of Mechanical Engineering, DIT University, Dehradun, Uttarakhand, 248009, India

Surface Review and Letters (SRL), 2021, vol. 28, issue 07, 1-18

Abstract: Cenosphere fly ash particles are incorporated into AA6061 alloys with different concentrations ranging from 0wt.% to 10wt.% using a modified semi-solid metal processing technique. X-ray diffraction patterns were recorded to analyze the morphology of the aluminum-based metal matrix composites (AMCs). The major diffraction peaks of Al, SiO2, Al2O3 and Fe2O3 are distinctly identified which revealed the presence of cenosphere particles and their integrity within the matrix is preserved. The high-resolution optical micrograph identifies the homogeneous distribution and uniform dispersion of the particles. Machinability of the prepared AMCs was investigated by electro discharge machining (EDM) using response surface methodology (RSM). Face-centered CCD of RSM was considered to design the number of experimental runs required. ANOVA was used to explore the influence of selected process parameters and their interactions on the performance characteristics of the systems by developing a second-order quadratic mathematical model for all the responses. Pulse on-time and pulse current were observed to be the most influencing independent variables of EDM system that affect the selected performance measures during spark erosion process. Finally, desirability function approach was employed to optimize the parameters. The optimal processing condition was identified as follows: pulse current: 6 A, pulse on-time: 1010μs, percentage of reinforcement: 2% and flushing pressure: 0.2 MPa. Very small percentages of deviation have been observed while comparing with the experimental results obtained for MRR (8.6%), TWR (10.3%) and SR (2.18%).

Keywords: Compocasting method; EDM; RSM; ANOVA analysis; desirability functions (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1142/S0218625X21500566

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