Investigation on materials removal rate and surface roughness of temperature resisted Waspaloy during electric spark machining utilizing gray relational analysis
G. Veerappan,
Kamaraj Logesh,
V. Mohanavel,
M. Ravichandran,
Ahmed Ahmed Ibrahim,
Salahuddin Khan,
S. Suresh Kumar,
Sathish Kannan,
Jayant Giri
Affiliations
G. Veerappan
Department of Mechatronics Engineering, Sri Krishna College of Engineering and Technology, Coimbatore 641008, Tamil Nadu, India
Kamaraj Logesh
Department of Mechanical Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai 600062, Tamil Nadu, India
V. Mohanavel
Centre for Materials Engineering and Regenerative Medicine, Bharath Institute of Higher Education and Research, Selaiyur, Chennai 600073, Tamil Nadu, India
M. Ravichandran
Department of Mechanical Engineering, K.Ramakrishnan College of Engineering, Samayapuram, Trichy 621112, Tamil Nadu, India
Ahmed Ahmed Ibrahim
Department of Physics and Astronomy, College of Science, King Saud University, P.O. Box 2455, 11451 Riyadh, Saudi Arabia
Salahuddin Khan
College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia
S. Suresh Kumar
Department of Mechanical Engineering, T.J.S.Polytechnic College, Peruvoyal, 601206 Kavaraipettai, Tamil Nadu, India
Sathish Kannan
Department of VLSI Microelectronics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai 602105, Tamilnadu, India
Jayant Giri
Department of Mechanical Engineering, Yeshwantrao Chavan College of Engineering, Nagpur 441110, Maharashtra, India
Waspaloy, a nickel-based super alloy, has much potential in gas turbine component production. Machining this type of material using the traditional manufacturing method is very hard. Hence, electrical discharge machining (EDM) was selected for the investigation of the machining characteristics of Waspaloy by choosing the control parameters, namely, current, voltage, pulse on time, pulse off time, and spark gap. Gray relational analysis is carried out using 18 experiments according to an orthogonal array (L18) to determine the gray relation grade for this machining process with multiple machining characteristics such as material removal rate (MR), tool wear rate (TW), and surface roughness (SR). The significant objective of the multi objective optimization to attain high MR, low TW, and low SR is found out. From gray relation optimization, the optimum machining conditions for EDM, namely, current: 26 A, voltage: 200 V, pulse on time: 120 μs, pulse on time: 10 μs, and spark gap: 0.15 m, have been identified. The foremost parameter affecting the responses was found to be peak current.
