LAPSE:2023.24785
Published Article
LAPSE:2023.24785
A Graph-Based Dynamic Modeling for Palm Oil Refining Process
Azmirul Ashaari, Tahir Ahmad, Siti Rahmah Awang, Noorsufia Abd Shukor
March 28, 2023
Graph theory is a well-established mathematical concept that is widely used in numerous applications such as in biology, chemistry and network analysis. The advancement in the theory of graph has led to the development of a concept called autocatalytic set. In this paper, a mathematical modeling technique namely graph-based dynamic modeling of palm oil refining process is introduced. The system parameters are identified in detail in the beginning of the paper. The parameters involved are the chemical compounds used or produced during the refining process. These identified parameters are then modeled as the vertices and edges of the graph. The dynamicity of the system is then simulated and analyzed. The system is simulated using MATLAB software programing. The two final products produced by the refining process agreed with results obtained from other published methods. Hence, the effectiveness and simplicity of the model are established.
Keywords
autocatalytic set, crude palm oil, dynamic system, Modelling, refining process
Suggested Citation
Ashaari A, Ahmad T, Awang SR, Shukor NA. A Graph-Based Dynamic Modeling for Palm Oil Refining Process. (2023). LAPSE:2023.24785
Author Affiliations
Ashaari A: Azman Hashim International Business School, Universiti Teknologi Malaysia, Skudai 81310, Malaysia
Ahmad T: Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia, Skudai 81310, Malaysia [ORCID]
Awang SR: Azman Hashim International Business School, Universiti Teknologi Malaysia, Skudai 81310, Malaysia
Shukor NA: Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia, Skudai 81310, Malaysia [ORCID]
Journal Name
Processes
Volume
9
Issue
3
First Page
523
Year
2021
Publication Date
2021-03-13
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr9030523, Publication Type: Journal Article
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LAPSE:2023.24785
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doi:10.3390/pr9030523
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Mar 28, 2023
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CC BY 4.0
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Mar 28, 2023
 
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