Oladipo, FolorunsoHamam, RSadiku, RRay, Suprakas SAdekoya, GJ2021-02-162021-02-162020-12Oladipo, F., Hamam, R., Sadiku, R., Ray, S.S. & Adekoya, G. 2020. Statistical characterization and simulation of graphene-loaded polypyrrole composite electrical conductivity. <i>Journal of Materials Research and Technology, 9(6).</i> http://hdl.handle.net/10204/117682238-78542214-0697http://hdl.handle.net/10204/11768In this study, an effective method has been described and adopted to quantify the diameter and length of graphene nanofiller. The experimentally measured graphene parameters were modelled by using the Weibull distribution. The fitted graphene nanofiller length and diameter were used to predict the electrical conductivity of the graphene-loaded polypyrrole. The reliability of the dispersion of the filler in the matrix is, aided by the adequate distribution of the filler. An analytical model was developed to study the conductivity of the polypyrrole-graphene (PPy-Gr) composite. In the model, the interfacial effect of the composite constituents was considered and the electrical conductivity of the composite was determined by the simple-sum method. The percolation threshold and the electrical conductivity dependencies of the composites were evaluated by concurrently varying the potential barrier, filler electrical conductivity and the interfacial thickness and the matrix conductivity. The current model produced results, which are in good agreement with experimental measurements of different polymer-composites. It is envisaged that the method employed in this study, can be extended to other polymer-filler mixture as a predictive, optimization and design tool, for polymer composites of any type.FulltextenPolypyrroleGraphenePotential barriersInterfacial effectsConductivityArticleOladipo, F., Hamam, R., Sadiku, R., Ray, S. S., & Adekoya, G. (2020). Statistical characterization and simulation of graphene-loaded polypyrrole composite electrical conductivity. <i>Journal of Materials Research and Technology, 9(6)</i>, http://hdl.handle.net/10204/11768Oladipo, Folorunso, R Hamam, R Sadiku, Suprakas S Ray, and GJ Adekoya "Statistical characterization and simulation of graphene-loaded polypyrrole composite electrical conductivity." <i>Journal of Materials Research and Technology, 9(6)</i> (2020) http://hdl.handle.net/10204/11768Oladipo F, Hamam R, Sadiku R, Ray SS, Adekoya G. Statistical characterization and simulation of graphene-loaded polypyrrole composite electrical conductivity. Journal of Materials Research and Technology, 9(6). 2020; http://hdl.handle.net/10204/11768.TY - Article AU - Oladipo, Folorunso AU - Hamam, R AU - Sadiku, R AU - Ray, Suprakas S AU - Adekoya, GJ AB - In this study, an effective method has been described and adopted to quantify the diameter and length of graphene nanofiller. The experimentally measured graphene parameters were modelled by using the Weibull distribution. The fitted graphene nanofiller length and diameter were used to predict the electrical conductivity of the graphene-loaded polypyrrole. The reliability of the dispersion of the filler in the matrix is, aided by the adequate distribution of the filler. An analytical model was developed to study the conductivity of the polypyrrole-graphene (PPy-Gr) composite. In the model, the interfacial effect of the composite constituents was considered and the electrical conductivity of the composite was determined by the simple-sum method. The percolation threshold and the electrical conductivity dependencies of the composites were evaluated by concurrently varying the potential barrier, filler electrical conductivity and the interfacial thickness and the matrix conductivity. The current model produced results, which are in good agreement with experimental measurements of different polymer-composites. It is envisaged that the method employed in this study, can be extended to other polymer-filler mixture as a predictive, optimization and design tool, for polymer composites of any type. DA - 2020-12 DB - ResearchSpace DP - CSIR J1 - Journal of Materials Research and Technology, 9(6) KW - Polypyrrole KW - Graphene KW - Potential barriers KW - Interfacial effects KW - Conductivity LK - https://researchspace.csir.co.za PY - 2020 SM - 2238-7854 SM - 2214-0697 T1 - Statistical characterization and simulation of graphene-loaded polypyrrole composite electrical conductivity TI - Statistical characterization and simulation of graphene-loaded polypyrrole composite electrical conductivity UR - http://hdl.handle.net/10204/11768 ER -24105