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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/12203
Title: Prediction of surface roughness during wire electrical discharge machining of SiC p/6061 Al metal matrix composite
Authors: Shandilya P.
Jain, P. K.
Jain N.K.
Published in: International Journal of Industrial and Systems Engineering
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. © 2012 Inderscience Enterprises Ltd.
Citation: International Journal of Industrial and Systems Engineering (2012), 12(3): 301-315
URI: https://doi.org/10.1504/IJISE.2012.049413
http://repository.iitr.ac.in/handle/123456789/12203
Issue Date: 2012
Keywords: ANN
Artificial neural network
Metal matrix composite
MMC
Response surface methodology
RSM
Surface roughness
WEDM
Wire electrical discharge machining
ISSN: 17485037
Author Scopus IDs: 54785113700
7402520507
56215745200
Author Affiliations: Shandilya, P., Department of Mechanical and Industrial Engineering, Indian Institute of Technology, Roorkee, 247 667 Uttarakhand, India
Jain, P.K., Department of Mechanical and Industrial Engineering, Indian Institute of Technology, Roorkee, 247 667 Uttarakhand, India
Jain, N.K., Department of Mechanical Engineering, Indian Institute of Technology, Indore, 452 017 Madhya Pradesh, India
Corresponding Author: Shandilya, P.; Department of Mechanical and Industrial Engineering, Indian Institute of Technology, Roorkee, 247 667 Uttarakhand, India; email: pragya.shan@gmail.com
Appears in Collections:Journal Publications [ME]

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