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2 results on '"Mohamad Syafiq Abdul Wahab"'

1. Flux model development and synthesis optimization for an enhanced GO embedded nanocomposite membrane through FFD and RSM approach

Author

Mohamad Syafiq Abdul Wahab, Sunarti Abd Rahman, and Rozaimi Abu Samah

Subjects
Chemical engineering, Membrane, Transport process, Computer-aided engineering, Films, Thin film, Science (General), Q1-390, Social sciences (General), H1-99
Abstract

A two-level full factorial design was used to analyze several factors involved in PSF–GO–Pebax thin film nanocomposite membranes development. Permeate flux was chosen as a single response for four possible factors: Pebax selective layer concentration, amount of GO load to Pebax selective layer, Pebax–GO selective layer thickness, and amount of GO load to PSF substrate. The study is aimed at factors interaction and contribution towards the highest permeation flux via FFD and RSM approach. R2 obtained from the ANOVA is 0.9937 with Pebax concentration as the highest contributing factor. Pebax concentration–amount of GO load to PSF substrate is the only interaction contributing to the highest flux. A regression analysis concluded the study with model development and an optimized condition for the membrane design.

Published
2020
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2. Flux model development and synthesis optimization for an enhanced GO embedded nanocomposite membrane through FFD and RSM approach

Author

Rozaimi Abu Samah, Sunarti Abd Rahman, and Mohamad Syafiq Abdul Wahab

Subjects
0301 basic medicine, Optimization, Materials science, Computer-aided engineering, Composite film, Hydrophilic enhancement, 03 medical and health sciences, 0302 clinical medicine, Chemical engineering, Transport process, Thin film, Composite material, lcsh:Social sciences (General), lcsh:Science (General), Nanomaterials, Films, Multidisciplinary, Nanocomposite, ANOVA, Membrane, Substrate (chemistry), Factorial experiment, Permeation, 030104 developmental biology, lcsh:H1-99, Flux (metabolism), Layer (electronics), 030217 neurology & neurosurgery, Research Article, lcsh:Q1-390
Abstract

A two-level full factorial design was used to analyze several factors involved in PSF–GO–Pebax thin film nanocomposite membranes development. Permeate flux was chosen as a single response for four possible factors: Pebax selective layer concentration, amount of GO load to Pebax selective layer, Pebax–GO selective layer thickness, and amount of GO load to PSF substrate. The study is aimed at factors interaction and contribution towards the highest permeation flux via FFD and RSM approach. R2 obtained from the ANOVA is 0.9937 with Pebax concentration as the highest contributing factor. Pebax concentration–amount of GO load to PSF substrate is the only interaction contributing to the highest flux. A regression analysis concluded the study with model development and an optimized condition for the membrane design., Chemical engineering; Membrane; Transport process; Computer-aided engineering; Films; Thin film; Nanomaterials; Composite film; Hydrophilic enhancement; ANOVA; Optimization

Published
2020

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