The optimization of effective parameters for electrodeposition of reduced graphene oxide through Taguchi method to evaluate the charge transfer

Moozarm Nia, Pooria and Jenatabadi, Hashem Salarzadeh and Woi, Pei Meng and Abouzari-Lotf, Ebrahim and Alias, Yatimah (2019) The optimization of effective parameters for electrodeposition of reduced graphene oxide through Taguchi method to evaluate the charge transfer. Measurement, 137. pp. 683-690. ISSN 0263-2241, DOI https://doi.org/10.1016/j.measurement.2019.02.015.

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Official URL: https://doi.org/10.1016/j.measurement.2019.02.015

Abstract

In the present work, the Taguchi experimental design technique, an effective and elegant tool, is employed to design and optimize a system for improving the quality of the products as well as discovering significant factors and optimize the parameters for electrodeposition of graphene oxide, in order to achieve low charge transfer resistance from the minimum number of experiments. Reduced graphene oxide (rGO) was prepared via electrochemical process. Electrochemical Impedance Spectroscopy was employed to evaluate the effects of variables on charge transfer resistance. Graphene oxide concentration, pH, scan rate and number of cycles were chosen as important effective parameters. Charge transfer resistance was minimized by measuring the signal-to-noise (S/N) ratio of the factors. Analysis of variance (ANOVA) was also employed to monitor the parameter influence and optimize the process. © 2019 Elsevier Ltd

Item Type: Article
Funders: Universiti Teknologi Malaysia (Professional Development Research University (Vote no: #04E45 and #17H21)), University of Malaya (Research Grant ST002-2018 and UMRG Sub program RP020C-16 SUS)
Uncontrolled Keywords: Reduced graphene oxide; Electrodeposition; Taguchi method; Electrochemical impedance spectroscopy; Charge transfer resistance
Subjects: Q Science > Q Science (General)
Q Science > QD Chemistry
T Technology > T Technology (General)
Divisions: Faculty of Science > Department of Chemistry
Faculty of Science > Department of Science and Technology Studies
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 04 Mar 2020 04:27
Last Modified: 04 Mar 2020 04:27
URI: http://eprints.um.edu.my/id/eprint/23966

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