The Relation between Deposited Weight and Quality of Coating in EPD Method Derived by Genetic programming

Document Type : Original Article

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Materials & Energy Research Center, Iran

Abstract

In this work, the relation between deposited weight and the quality of electrophoretically deposited coating has been derived using genetic programming method. Although, the accumulated mass is thicken by time, its quality varies at different times of coating procedure. Three different suspensions i.e. Mullite, SiC and Mullite/SiC were stabled in ethanol medium and the suspended particles were electrophoretically deposited on C-C composite at several different times. The results of SEM micrographs show that the quality of coating rises by time and after some time it starts to drop for all three suspensions. The results of Zeta potential of suspension after different times of coating that is derived by pH measurement, illustrate the same pattern. There is a maximum for zeta potential after 150 sec of deposition process. Accordingly, the quality of coating rises as a result of enhancement of Zeta potential in suspensions. Last but not least, there is a relation between deposition time and quality of coating which is mathematically modeled using genetic programming method. In this case, the root of multiplication of Z-w and w-t differential equations could show the optimum time of deposition process.

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[1] M. Wei, A.J. Ruys, B.K. Milthorpe, C.C. Sorrell, J.H. Evans. "Electrophoretic deposition of hydroxyapatite coatings on metal substrate: a nano-particulate dual coating approach." Journal of Sol–gel Science and Technology, vol. 21, 2001, pp. 39.
[2] T.M. Sridhar, U.K. Mudali. "Development of bioactive hydroxyapatite coatings on Type 316L stainless steel by electrophoretic deposition for orthopaedic applications." Transaction Industrial Instant Metals, vol. 56, 2003, pp. 221.
[3] J.H. Yum, S.Y. Seo, S. Lee, Y.E. Sung. "Y3Al5O12:Ce0.05 phosphor coating on gallium nitride for white light emitting diodes." Journal of Electrochemical Society, vol. 150, 2003, pp. 47.
[4] H.S. Maiti, S. Datta, R.N. Basu. "High Tc superconductor coating on metal substrates by an electrophoretic technique." Journal of American Ceramic Society, vol. 72, 1989, pp. 1733.
[5] G. Wang, P. Sarkar, P.S. Nicholson. "Influence of acidity on the electrostatic stability of alumina suspensions in ethanol." Journal of American Ceramic Society, vol. 80, 1997, pp. 965.
[6] D.R. Brown, F.W. Salt. "The mechanism of electrophoretic deposition." Journal of Applied Chemistry, vol. 15, 1965, pp. 40.
[7] R.N. Basu, C.A. Randall, M.J. Mayo. "Fabrication of dense zirconia electrolyte films for tubular solid oxide fuel cells by electrophoretic deposition." Journal of American Ceramic Society, vol. 84, 2001, pp. 33.
[8] Y.C. Wang, I.C. Leu, M.H. Hon. "Kinetics of electrophoretic deposition for nanocrystalline zinc oxide coatings." Journal of American Ceramic Society, vol. 87, 2004, pp. 84.
[9] I. Zhitomirsky, L. Gal-or. "Electrophoretic deposition of hydroxyapatite." Journal of Materials Science: Materials in Medicine, vol. 8, 1997, pp. 213.
[10] S. Put, J. Vleugels, O. Van der Biest. "Functionally graded WC-Co Materials produced by electrophoretic deposition." Scripta Materialia, vol. 45, 2001, pp. 1139.
[11] E. Askaria, M. Mehrali, I.H.S.C. Metselaar, N.A. Kadri, Md.M. Rahman. "Fabrication and mechanical properties of Al2O3/SiC/ZrO2 functionally graded material by electrophoretic deposition." Journal of the Mechanical Behavior of Biomedical Materials, vol. 12, 2012, pp. 144.
[12] C. Jacoboni, P. Lugli, The Monte Carlo Method for Semiconductor Device Simulation, 2nd ed., Wien: Springer-Verlag, Germany, 1989, pp. 117.
[13] S. Selberherr, Analysis and Simulation of Semiconductor Devices, 1st ed., Wien: Springer-Verlag, Germany,1984, pp. 65.
[14] T. Grasser, Advanced Device Modeling and Simulation, 1st ed., World Scientific, New York, 2003, pp. 112.
[15] K. Kramer, M. Kevin, W. Hitchon, G. Nicholas, Semiconductor devices: a simulation approach, 1st ed., Upper Saddle River, NJ: Prentice Hall PTR, London, 1997, pp. 8.
[16] D. Vasileska, S. Goodnick, Computational Electronics, 1st ed., Morgan & Claypool, New York, 2006, pp. 83.
[17] C. Galup-Montoro, M.C. Schneider, Mosfet Modeling for Circuit Analysis and Design, 1st ed., World Scientific, New York, 2007, pp. 24.
[18] N. Arora, Mosfet Modeling for VLSI Simulation: Theory and Practice, 1st ed., World Scientific, New York, 2007, pp. 1.
[19] Y. Tsividis, (1999). Operational Modeling of the MOS Transistor, 2nd ed., McGraw-Hill, New York, 1999, pp. 1.
[20] K. Munshi. "Small Signal and Large Signal Modeling of HBT’s Using Neural Networks." Microwave Review, vol. 1, 2003, pp. 31.
[21] H.G. Davies, R.J. Rogers. "The Vibration of Structures Elastically Constrained at Discrete Points." Journal of Sound and Vibration, vol. 21, 1979, pp. 437.
[22] J. Koza. "Genetic Programming: On the Programming of Computers by Natural Selection." MIT Press, Cambridge, vol. 1, 1992, pp. 96.
[23] J. Koza. "Genetic programming: A paradigm for genetically breeding populations of computer programs to solve problems." Stanford University, Stanford Publication, vol. 1, 1990, pp. 12.
[24] R. Poli. "Genetic Programming." University of Essex UK, Lulu Enterprises, vol. 1, 2008, pp. 17.
[25] S. Silva, J. Almeida. "GPLAB-a genetic programming toolbox for MATLAB®." 2003, pp. 53.
[26] W. Banzhaf, P. Nordin, R. E. Keller, F. D. Francon. "Genetic programming –an introduction." San Francisco, CA, Morgan Kaufmann publication, vol. 1, 1998, pp. 22.
[27] Amir Ali Shahmansouri, Maziar Yazdani, Saeed Ghanbari, Habib Akbarzadeh  Bengar, Abouzar Jafari, Hamid Farrokh Ghatte, Artificial neural network model to predict the compressive strength of eco-friendly geopolymer concrete incorporating silica fume and natural zeolite, Journal of Cleaner Production, Volume 279, 10 January 2021, 123697.
[28] Mahdi Nematzadeh, Amir Ali Shahmansouri, Maziar Fakoor, Post-fire compressive strength of recycled PET aggregate concrete reinforced with steel fibers: Optimization and prediction via RSM and GEP, Construction and Building Materials, Volume 252, 20 August 2020, 119057.
[29] Amir Ali Shahmansouri, Habib Akbarzadeh Bengar, Saeed Ghanbari, Compressive strength prediction of eco-efficient GGBS-based geopolymer concrete using GEP method, Journal of Building Engineering, Volume 31, September 2020, 101326.
[30] Amir Ali Shahmansouri, Habib Akbarzadeh Bengar, Ehsan Jahani, Predicting compressive strength and electrical resistivity of eco-friendly concrete containing natural zeolite via GEP algorithm, Construction and Building Materials, Volume 229, 30 December 2019, 116883.

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History

  • Receive Date: 13 July 2020
  • Revise Date: 23 September 2020
  • Accept Date: 06 October 2020

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