• Journal of Advanced Dielectrics
  • Vol. 11, Issue 4, 2150016 (2021)
Sherif Haggag1、*, Loai Nasrat2, and and Hanafy Ismail1
Author Affiliations
  • 1Faculty of Engineering, Department of Power and Machines Ain Shams University, Cairo, Egypt
  • 2Faculty of Engineering Department of Electrical Engineering Aswan University, Aswan, Egypt
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    DOI: 10.1142/s2010135x21500168 Cite this Article
    Sherif Haggag, Loai Nasrat, and Hanafy Ismail. ANN approaches to determine the dielectric strength improvement of MgO based low density polyethylene nanocomposite[J]. Journal of Advanced Dielectrics, 2021, 11(4): 2150016 Copy Citation Text show less

    Abstract

    This paper presents the modification occurred to the dielectric strength feature of low density polyethylene compounded with nano magnesia (LDPE/MgO). MgO nanoparticles were prepared using sol–gel technique, MgO filler surface was functionalized to improve the interfacial bonding. Specimen’s groups of composites with different filler concentrations were fabricated by mix blend method. Samples exposed to various salinity media by immersion, dielectric strength test was applied on each set according .material. Tests results utilized to learn Artificial Neural Network in order to acquire the value of dielectric strength of compounds having similar composition but containing different doping amounts or influenced with various salinity level media. The dielectric strength is enhanced by the addition of MgO nanofiller. From the investigation of the obtained results, it is concluded that additives of 1.4% filler concentration by weight is the optimum MgO content for LDPE/MgO nanofiller material. We think that this paper may promote a good researching methodology that gather both empirical work and numerical tools in this field.
    Sherif Haggag, Loai Nasrat, and Hanafy Ismail. ANN approaches to determine the dielectric strength improvement of MgO based low density polyethylene nanocomposite[J]. Journal of Advanced Dielectrics, 2021, 11(4): 2150016
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