Year 2016, Volume 2 , Issue 2, Pages 42 - 48 2016-06-22

Artificial Neural Networks Study on Prediction of Dielectric Permittivity of Basalt/PANI Composites

Onder Eyecioglu [1] , Yasar Karabul [2] , Umit Alkan [3] , Mehmet Kilic [4] , Orhan Icelli [5]


In the present study, the dielectric permittivity change of basalt (two type basalt; CM-1, KYZ-13) reinforced PANI composites were studied to determine the effects of PANI additivities (10.0, 25.0, 50.0 wt.%) at several frequencies from 100 Hz to 17.5 MHz by a dielectric spectroscopy method at the room temperature and artificial neural networks (ANNs) simulation. Also, the dielectric permittivity at 30.0 wt.% of PANI additivity was obtained by ANNs without experimental process. That process, a significant predictive instrument was produced which allows optimization of dielectric properties for numerous composites without substantial experimentation. It has been observed that PANI additivities decreased to dielectric constant of composites at low frequencies. Furthermore, the ANNs method have satisfactory accuracy for prediction of dielectric parameters.

Artificial neural networks, dielectric permittivity, basalt, PANI, composite
  • Y. Karabul, L.A. Susam, O. İçelli and Ö. Eyecioğlu, “Computation of EABF and EBF for basalt rock samples”, Nucl. Instrum. Methods. Phys. Res. A, vol. 797, pp. 29–36, 2015.
  • H.S. Nalwa, Handbook of Organic Conductive Molecules and Polymers, New York: Wiley, 1997.
  • Z.A. Boeva and V.G. Sergeyev, “Polyaniline: Synthesis, Properties, and Application”, Polymer Science Series C vol. 56, pp. 144–153, 2014.
  • H. Bidadi, A. Olad, M. Parhizkar, S.M. Aref and M. Ghafouri, “Nonlinear Properties of ZnO-Polymer Composites Prepared by Solution-casting Method”, Vacuum, vol. 87, pp. 50–54, 2013.
  • H. Tang, Y. Ding, C. Zang, J. Gu, Q. Shen and J. Kan, “Effect of Temperature on Electrochemical Degradation of Polyaniline”, Int. J. Electrochem. Sci., vol. 9, pp. 7252–7239, 2014.
  • Z. Wen-Zhi , K. Xian-Wen, J. Shou-Feng, S. Jin-Gao, Y. Dong-Sheng and F. Bin, “Electrochemical characteristics and catalytic activity of polyaniline doped with ferrocene perchlorate”, Journal of Applied Polymer Science, vol. 102, pp. 5633–5639, 2006.
  • E. Akbarinezhad, M. Ebrahimia, F. Sharif, M.M. Attar and H. R. Faridi, “Synthesis and evaluating corrosion protection effects of emeraldine base Pani/clay nanocomposite as a barrier pigment in zinc-rich ethyl silicate primer”, Progress in Organic Coatings, vol. 70, pp. 39–44, 2011.
  • A.B. Samui, A.S. Patankar, J. Rangarajan and P.C. Deb, “Study of polyaniline containing paint for corrosion prevention”, Progress in Organic Coatings, vol. 47, pp. 1–7, 2003.
  • M. Ates, “A review study of (bio) sensor systems based on conducting polymers”, Materials Science and Engineering C, vol. 33, pp. 1853–1859, 2013.
  • A. Habibi-Yangjeh, “Prediction dielectric constant of different ternary liquid mixtures at various temperatures and compositions using artificial neural networks”, Physics and Chemistry of Liquids, vol.45, pp. 471–478, 2007.
  • H. Kurt and M. Kayfeci, “Prediction of thermal conductivity of ethylene glycol–water solutions by using artificial neural networks”, Applied Energy, vol. 86, pp. 2244–2248, 2009.
  • K. Levenberg, “A Method for the Solution of Certain Non-Linear Problems in Least Squares” Quarterly of Applied Mathematics, vol. 2, pp. 164–168, 1944.
  • D. Marquardt, “An Algorithm for Least-Squares Estimation of Nonlinear Parameters”, SIAM Journal on Applied Mathematics, vol. 11, pp. 431–441, 1963.
  • A.S. Nowick, A.V. Vaysleyb and I. Kuskovsky, “Universal dielectric response of variously doped CeO2 ionically conducting ceramics”, Phys Rev B, vol. 58, pp. 8398–8406, 1998.
  • V.F. Lvovich, Impedance Spectroscopy Applications to Electrochemical and Dielectric Phenomena, New Jersey: Wiley, 2012, ch. 4.
  • J. Suchanicz, “The low-frequency dielectric relaxation Na0.5 Bi0.5 TiO3 ceramics” Mater Sci Eng B-Adv, vol. 55, pp. 114–118, 1998.
Journal Section Articles
Authors

Author: Onder Eyecioglu

Author: Yasar Karabul

Author: Umit Alkan

Author: Mehmet Kilic

Author: Orhan Icelli

Dates

Publication Date : June 22, 2016

Bibtex @ { ijet259400, journal = {International Journal of Engineering Technologies IJET}, issn = {2149-0104}, eissn = {2149-5262}, address = {}, publisher = {İstanbul Gelisim University}, year = {2016}, volume = {2}, pages = {42 - 48}, doi = {10.19072/ijet.27769}, title = {Artificial Neural Networks Study on Prediction of Dielectric Permittivity of Basalt/PANI Composites}, key = {cite}, author = {Eyecioglu, Onder and Karabul, Yasar and Alkan, Umit and Kilic, Mehmet and Icelli, Orhan} }
APA Eyecioglu, O , Karabul, Y , Alkan, U , Kilic, M , Icelli, O . (2016). Artificial Neural Networks Study on Prediction of Dielectric Permittivity of Basalt/PANI Composites. International Journal of Engineering Technologies IJET , 2 (2) , 42-48 . DOI: 10.19072/ijet.27769
MLA Eyecioglu, O , Karabul, Y , Alkan, U , Kilic, M , Icelli, O . "Artificial Neural Networks Study on Prediction of Dielectric Permittivity of Basalt/PANI Composites". International Journal of Engineering Technologies IJET 2 (2016 ): 42-48 <https://dergipark.org.tr/en/pub/ijet/issue/24473/259400>
Chicago Eyecioglu, O , Karabul, Y , Alkan, U , Kilic, M , Icelli, O . "Artificial Neural Networks Study on Prediction of Dielectric Permittivity of Basalt/PANI Composites". International Journal of Engineering Technologies IJET 2 (2016 ): 42-48
RIS TY - JOUR T1 - Artificial Neural Networks Study on Prediction of Dielectric Permittivity of Basalt/PANI Composites AU - Onder Eyecioglu , Yasar Karabul , Umit Alkan , Mehmet Kilic , Orhan Icelli Y1 - 2016 PY - 2016 N1 - doi: 10.19072/ijet.27769 DO - 10.19072/ijet.27769 T2 - International Journal of Engineering Technologies IJET JF - Journal JO - JOR SP - 42 EP - 48 VL - 2 IS - 2 SN - 2149-0104-2149-5262 M3 - doi: 10.19072/ijet.27769 UR - https://doi.org/10.19072/ijet.27769 Y2 - 2019 ER -
EndNote %0 International Journal of Engineering Technologies Artificial Neural Networks Study on Prediction of Dielectric Permittivity of Basalt/PANI Composites %A Onder Eyecioglu , Yasar Karabul , Umit Alkan , Mehmet Kilic , Orhan Icelli %T Artificial Neural Networks Study on Prediction of Dielectric Permittivity of Basalt/PANI Composites %D 2016 %J International Journal of Engineering Technologies IJET %P 2149-0104-2149-5262 %V 2 %N 2 %R doi: 10.19072/ijet.27769 %U 10.19072/ijet.27769
ISNAD Eyecioglu, Onder , Karabul, Yasar , Alkan, Umit , Kilic, Mehmet , Icelli, Orhan . "Artificial Neural Networks Study on Prediction of Dielectric Permittivity of Basalt/PANI Composites". International Journal of Engineering Technologies IJET 2 / 2 (June 2016): 42-48 . https://doi.org/10.19072/ijet.27769
AMA Eyecioglu O , Karabul Y , Alkan U , Kilic M , Icelli O . Artificial Neural Networks Study on Prediction of Dielectric Permittivity of Basalt/PANI Composites. IJET. 2016; 2(2): 42-48.
Vancouver Eyecioglu O , Karabul Y , Alkan U , Kilic M , Icelli O . Artificial Neural Networks Study on Prediction of Dielectric Permittivity of Basalt/PANI Composites. International Journal of Engineering Technologies IJET. 2016; 2(2): 48-42.