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Regression Model for Surface Roughness on EDM using Al6061 + SiC, Copper and Brass Tools


Affiliations
1 Department of Mechanical Engineering, JNTUH College of Engineering, Hyderabad, Kukatpally, India
2 Department of Mechanical Engineering, MVSR Engineering College, Nadergul, Hyderabad, India
     

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Electrical Discharge Machining (EDM) is one of the electrical energy based Modern Machining Technique. where electrical energy is directly used to remove or cut the metals. In the present work experiments are conducted on EDM using Al6061+SiC(3%,6%,9%), Copper and Brass materials as electrodes and EN8 steel as work material. Discharge current (IP), pulse on time (TON), pulse off time (TOFF) are selected as process parameters, Surface Roughness (SR), Tool Wear Rate (TWR) as response. Taguchi design of experiment is used to find the influence of process parameters on response and a mathematical model is developed. Percentage contribution of each factor is determined.

Keywords

Discharge Current(IP), Pulse on Time (TON), Pulse Off Time (TOFF), Surface Roughness, EDM.
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  • Regression Model for Surface Roughness on EDM using Al6061 + SiC, Copper and Brass Tools

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Authors

B. Kishan
Department of Mechanical Engineering, JNTUH College of Engineering, Hyderabad, Kukatpally, India
B. Sudheer Prem Kumar
Department of Mechanical Engineering, JNTUH College of Engineering, Hyderabad, Kukatpally, India
S. Gajanana
Department of Mechanical Engineering, MVSR Engineering College, Nadergul, Hyderabad, India
B. Ravi Kumar
Department of Mechanical Engineering, MVSR Engineering College, Nadergul, Hyderabad, India
P. V. K. Chaitanya Kumar
Department of Mechanical Engineering, MVSR Engineering College, Nadergul, Hyderabad, India

Abstract


Electrical Discharge Machining (EDM) is one of the electrical energy based Modern Machining Technique. where electrical energy is directly used to remove or cut the metals. In the present work experiments are conducted on EDM using Al6061+SiC(3%,6%,9%), Copper and Brass materials as electrodes and EN8 steel as work material. Discharge current (IP), pulse on time (TON), pulse off time (TOFF) are selected as process parameters, Surface Roughness (SR), Tool Wear Rate (TWR) as response. Taguchi design of experiment is used to find the influence of process parameters on response and a mathematical model is developed. Percentage contribution of each factor is determined.

Keywords


Discharge Current(IP), Pulse on Time (TON), Pulse Off Time (TOFF), Surface Roughness, EDM.

References