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2013 (Vol. 6, Issue: 11)
Article Information:

Artificial Neural Network Modeling of Surface Roughness in Magnetic Abrasive Finishing Process

F. Djavanroodi
Corresponding Author:  F. Djavanroodi 

Key words:  Artificial neural network, brass finishing, magnetic abrasive, surface roughness, , ,
Vol. 6 , (11): 1976-1983
Submitted Accepted Published
November 24, 2012 January 01, 2013 July 25, 2013

Magnetic Abrasive Finishing (MAF) is an advanced finishing process in which the cutting force is controlled by magnetic field and it provides a high level of surface finish and close tolerances for wide range of industrial application. In this study the parameter that affects surface roughness in MAF process on a brass shaft of CuZn37 have been examined experimentally. These parameters are: intensity of the magnetic field, work-piece velocity and finishing time. It has been shown that the intensity of magnetic field has the most effect on finishing process, a higher intensity in magnetic field, results in a higher change in surface roughness, increasing finishing time results in decreased surface roughness and a lower work-piece velocity leads to a lower surface roughness. Finally Artificial Neural Network (ANN) prediction of surface roughness are carried out and compared with experiment. It was found that the coefficient of multiple determinations (R2-value) between the experimental and ANN predicted data is equal to about 0.999, therefore, indicating the possibility of ANN as a strong tool in simulating and prediction of surface roughness in MAF process.
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  Cite this Reference:
F. Djavanroodi, 2013. Artificial Neural Network Modeling of Surface Roughness in Magnetic Abrasive Finishing Process.  Research Journal of Applied Sciences, Engineering and Technology, 6(11): 1976-1983.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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