Prediction of surface roughness during wire electrical discharge machining of SiC p /6061 Al metal matrix composite

Pragya Shandilya, P.K. Jain and N.K. Jain

International Journal of Industrial and Systems Engineering, 2012, vol. 12, issue 3, 301-315

Abstract: In this work, response surface methodology (RSM) and artificial neural network (ANN) techniques were used for predicting the surface roughness during wire electrical discharge machining (WEDM) of SiC_p/6061 Al metal matrix composite. Box–Behnken design approach has been used and totally 29 experiments were carried out using four process input variables, i.e. servo voltage, pulse-on time, pulse-off time and wire feed rate. The mathematical relationship between WEDM input process parameters and surface roughness was established to determine the value of surface roughness mathematically. The RSM predicted values and ANN predicted values of surface roughness were compared with the experimental values and their closeness with the experimental values was determined. Good agreement was observed between the predicted model results and experimental results. Finally, the ANN model and RSM model for surface roughness were compared with each other.

Keywords: WEDM; wire EDM; electrical discharge machining; MMC; metal matrix composites; ANNs; artificial neural networks; RSM; response surface methodology; surface roughness; surface quality; electro-discharge machining; silicon carbide; aluminium; servo voltage; pulse-on time; pulse-off time; wire feed rate. (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=49413 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijisen:v:12:y:2012:i:3:p:301-315

Access Statistics for this article

More articles in International Journal of Industrial and Systems Engineering from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().