306
Views
34
CrossRef citations to date
0
Altmetric
Original Articles

Monitoring and Fuzzy Control Approach for Efficient Electrical Discharge Machining Process

, , &
Pages 281-286 | Received 29 Jun 2013, Accepted 09 Oct 2013, Published online: 04 Mar 2014
 

Abstract

The intricate shape die for manufacturing industries can be easily produced by the electrical discharge machining (EDM) process. Since the surface roughness of the die directly affects the surface finish of the product, it is very important to enhance the surface quality of machined surface using the EDM process. In the present study, a fuzzy base control algorithm has been developed for monitoring discharge current and spark gap. The discharge current has to be monitored during machining process to reduce the surface roughness, whereas the spark gap has to be monitored to avoid the abhorrent arcing effect. The levels of process such as roughing, semifinishing, and finishing have been taken as the input to fuzzy rule base. The control algorithm has been evaluated with real-time environment. From the experimental results, it has been observed that the developed control approach for the EDM process has considerably improved the surface quality of the EDM product with higher material removal rate.

Notes

Color versions of one or more of the figures in the article can be found online at www.tandfonline.com/lmmp.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 561.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.