Abstract
Activated carbon is often used in numerous applications and very useful adsorbent. The aim of this research project is to develop an understanding on the parameters and level of the activated carbon production process using Taguchi Orthogonal Array design method. The orthogonal array design, analysis of variance (ANOVA), signal-to-noise ratio (S/N ratio), regression model and prediction for optimized value were used to investigate carbon dioxide (CO2) adsorption efficiency. The control parameter investigated in this study were activation time, impregnation ratio and activation temperature. The statistical findings showed that the conditions that are optimized are the activation time of 30 min, impregnation ratio of 0.3 and the activation temperature of 700°C. The activation temperature has the greatest impact on carbon dioxide adsorption based on the highest delta in S/N ratio analysis. The linear regression model was performed and the result was well comparable between the simulated data and experimental data with R2 of 0.6159. The adsorption equilibrium data was well suited to the Freundlich isotherm.
Metadata
Item Type: | Student Project |
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Creators: | Creators Email / ID Num. Ku Ahmad, Ku Muhd Hanif 2018800728 Mohammad Faizal, Nur Farhana 2018806642 Mohamad Jaafar, Hanisah 2018643378 Mahadzir, Nailah 2018418736 |
Contributors: | Contribution Name Email / ID Num. Thesis advisor Md Zaini, Mohd Saufi UNSPECIFIED |
Subjects: | Q Science > Q Science (General) > Study and teaching Q Science > Q Science (General) > Study and teaching > Laboratories. General works Q Science > QD Chemistry > General. Including alchemy Q Science > QD Chemistry > Inorganic chemistry Q Science > QD Chemistry > Inorganic chemistry > Carbon disulfide. Graphene. Carbon Q Science > QD Chemistry > Physical and theoretical chemistry |
Divisions: | Universiti Teknologi MARA, Terengganu > Dungun Campus > Faculty of Chemical Engineering |
Programme: | Diploma in Chemical Engineering |
Keywords: | Activated Carbon ; Carbon Dioxide ; Taguchi Method ; Analysis Of Variance ; Optimization ; Adsorption Isotherm |
URI: | https://ir.uitm.edu.my/id/eprint/54978 |
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