Citation
Abstract
Carbon nanotubes (CNTs) have the potential to act as a catalyst support in many sciences and engineering fields due to their outstanding properties. The CNT-coated monolith was synthesized over a highly active Ni catalyst using direct liquid injection chemical vapor deposition (CVD). The aim was to study the optimum condition for synthesizing CNT-coated monoliths. The Taguchi method with L9 (34) orthogonal array design was employed to optimize the experimental conditions of CNT-coated monoliths. The design response was the percentage of carbon yield expressed by the signal-to-noise (S/N) value. The parameters including the mass ratio of Ni to citric acid (Ni:CA) (A), the injection rate of carbon source (B), time of reaction (C), and operating temperature (D) were selected at three levels. The results showed that the optimum conditions for CNT-coated monolith were established at A1B2C1D2 and the most influential parameter was D followed by B, C, and A. The ANOVA analysis showed the design was significant with R-squared and standard deviation of the factorial model equal to 0.9982 and 0.22, respectively. A confirmation test was conducted to confirm the optimum condition with the actual values of the average percentage of carbon yield deviated 1.4% from the predicted ones. The CNT-coated monoliths were characterized by various techniques such as field emission scanning electron microscopy (FESEM), energy dispersive X-ray spectroscopy (EDX), X-ray diffraction (XRD), and Raman spectroscopy.
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Official URL or Download Paper: https://www.mdpi.com/2073-4344/10/1/67
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Additional Metadata
Item Type: | Article |
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Divisions: | Faculty of Engineering Faculty of Science |
DOI Number: | https://doi.org/10.3390/catal10010067 |
Publisher: | MDPI |
Keywords: | Carbon nanotubes; Carbon vapor deposition; Optimization; Taguchi method |
Depositing User: | Nabilah Mustapa |
Date Deposited: | 03 May 2020 23:04 |
Last Modified: | 03 May 2020 23:04 |
Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3390/catal10010067 |
URI: | http://psasir.upm.edu.my/id/eprint/38184 |
Statistic Details: | View Download Statistic |
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