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  5. Development of dense void-free electrospun SPEEK-Cloisite15A membrane for direct methanol fuel cell application: Optimization using response surface methodology

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Article
English
2017

Development of dense void-free electrospun SPEEK-Cloisite15A membrane for direct methanol fuel cell application: Optimization using response surface methodology

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English
2017
International Journal of Hydrogen Energy
Vol 42 (42)
DOI: 10.1016/j.ijhydene.2017.07.077

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Mohd Hafiz Dzarfan Othman
Mohd Hafiz Dzarfan Othman

Universiti Teknologi Malaysia

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Nuha Awang
Juhana Jaafar
Ahmad Fauzi Ismail
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Abstract

Response surface methodology (RSM) was utilized to design the experiments at the settings of solution concentration, voltage and the collector distance. It also imparted the evaluation of the significance of each parameter on the resultant physico chemicals (proton conductivity, methanol permeability and water uptake). The investigations were carried out in the two-variable process domains of several collector distances as applied voltage and the solution concentration were varied at a fixed polymer molecular weight. The result showed that all three factors were found statistically significant in the production of void free electrospun SPEEK/Cloisite membrane. All responses were correlated to these variables by using a second order polynomial function. The optimum condition for void free electrospun SPEEK/cloisite was at 0.17 wt% concentration with applied voltage of 22.15 kV and 18.83 cm distance from needle tip to screen collector.

How to cite this publication

Nuha Awang, Juhana Jaafar, Ahmad Fauzi Ismail, Mohd Hafiz Dzarfan Othman, Mukhlis A. Rahman, Norhaniza Yusof, Farhana Aziz, Wan Norharyati Wan Salleh, Siti Samahani Suradi, Hamid Ilbeygi, W.N.E. Wan Mohd Noral Azman, G. Arthanareeswaran (2017). Development of dense void-free electrospun SPEEK-Cloisite15A membrane for direct methanol fuel cell application: Optimization using response surface methodology. International Journal of Hydrogen Energy, 42(42), pp. 26496-26510, DOI: 10.1016/j.ijhydene.2017.07.077.

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Publication Details

Type

Article

Year

2017

Authors

12

Datasets

0

Total Files

0

Language

English

Journal

International Journal of Hydrogen Energy

DOI

10.1016/j.ijhydene.2017.07.077

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