Portugaliae Electrochimica Acta
ISSN 0872-1904
Comparison of Regression Model and Artificial Neural Network Model for the Prediction of Volume Percent of Diamond Deposition in Ni-Diamond Composite Coating
K. Ramanathan1,*, V.M. Periasamy2, U. Natarajan1
1 A.C. College of Engineering and Technology, Karaikudi 630 004, TN, India
2 B.S.A crescent Engineering College, Vandalur, Chennai 600 048, TN, India
Received 12th January 2008; accepted 14th March 2008
Abstract
Nickel-diamond composite coatings are produced by electro deposition using sedimentation techniques on mild steel substrate at various cathode current density, pH and temperature. Electro deposition was carried out from a conventional Watts bath. Natural diamond powder of 6-12 mm size was used in the study. The volume percent incorporation of diamond on the coated specimens was measured gravimetrically. Artificial Neural Network (ANN) and regression models (a mathematical model) were used to predict the volume percent incorporation of diamond in the Ni-diamond metal matrix. In this work, Volume fraction of diamond deposition (Vfd) was taken as response variable (output variable) and current density, pH and temperature were taken as input variables. The prediction of response variable was obtained with the help of empirical relation between the response variable and input variables using ANN and also through DOE. The predicted values of the responses by ANN and regression models were compared with the experimental values and their closeness with the experimental values was determined.
Keywords: Volume fraction of diamond deposition (Vfd), ANN, Regression models, Design of Experiments (DOE), Ni-diamond composite coating.
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References
1. J. P. Davim, J. Mater. Processing Technol. 128 (2002) 100-105. [ Links ]
2. M. Chen, X.G. Jain, F.H. Sun, B. Hu, X.S. Liu, J. Mater. Processing Technol. 129 (2002) 85.
3. M. Pushpavanam, Metal Finishing 95 (1997) 22
4. G. Sheela, M. Pushpavanam, Metal Finishing 100 (2002) 45.
5. K. Sato, K. Suzuki, Metal Finishing 72 (1984) 81.
6. E.C. Lee, J.W. Choi, Surf. Coatings Techn. 148 (2001) 234.
7. Y. Sofer, Y. Yarnitzky, S.F. Dirnfeld, Surf. Coatings Techn. 42 (1990) 227.
8. M. Pushpavanam, H. Manikandan, K. Ramanathan, Surface Coatings and Technology 201 (2007) 6372-6379.
9. D.C. Montgomery, Design and Analysis of Experiments, John Wiley and Sons, New York, 1959.
10. S. Haykin, Neural Networks A Comprehensive Foundation, Macmillan College Publishing Co., New York, 1994.
* Corresponding author. E-mail address: kalirams@yahoo.com