TY - GEN
T1 - Monitoring system for the micro EDM process
AU - Narasimhan, Jayakumar
AU - Rajurkar, Kamlakar P.
N1 - Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.
PY - 2012
Y1 - 2012
N2 - Now-a-days, many sophisticated systems are available to monitor the process in real time that drastically reduce the cost and lead time to manufacture a part because it takes away the offline sampling. For Electrical Discharge Machining (EDM), current signal monitors are very useful to predict the material removal rate and determine the arcing that can damage the surface. This paper discusses the design and development of an online monitoring for micro-EDM using correlation developed via experimentation. Surface roughness is predicted based on online monitoring.
AB - Now-a-days, many sophisticated systems are available to monitor the process in real time that drastically reduce the cost and lead time to manufacture a part because it takes away the offline sampling. For Electrical Discharge Machining (EDM), current signal monitors are very useful to predict the material removal rate and determine the arcing that can damage the surface. This paper discusses the design and development of an online monitoring for micro-EDM using correlation developed via experimentation. Surface roughness is predicted based on online monitoring.
UR - http://www.scopus.com/inward/record.url?scp=84892652462&partnerID=8YFLogxK
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U2 - 10.1115/ISFA2012-7146
DO - 10.1115/ISFA2012-7146
M3 - Conference contribution
AN - SCOPUS:84892652462
SN - 9780791845110
T3 - ASME/ISCIE 2012 International Symposium on Flexible Automation, ISFA 2012
SP - 209
EP - 212
BT - ASME/ISCIE 2012 International Symposium on Flexible Automation, ISFA 2012
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME/ISCIE 2012 International Symposium on Flexible Automation, ISFA 2012
Y2 - 18 June 2012 through 20 June 2012
ER -