Improvement of the Graphene Oxide Dispersion Properties with the Use of TOPSIS Based Taguchi Application

Abstract

The stability of the graphene oxide dispersions is an important issue in the preparation of medicine, printed flexible electronics, 3D printers and conductive inks. In order to improve the stability; mean and standard deviation of particle size, polydispersity index, zeta potential and conductivity of graphene oxide dispersion were selected as the main stability properties. The improvement rate between the estimate and the optimal conditions were calculated for the mean and standard deviation of particle size, polydispersity index, zeta potential and conductivity as 264.0%, 1875.0%, 583.3%, 5.0% and 50.0%, respectively in terms of the GO quality characteristics. The improvement rate between the estimate and the optimal conditions were calculated for the mean and standard deviation of particle size, polydispersity index, zeta potential and conductivity as 42.7%, 79.7%, -5.0%, 9.9% and -86.7%, respectively in terms of the GO quality characteristics. The result show that TOPSIS based Taguchi optimization in this study is effective to improve the graphene oxide dispersion stability.