General Information
    • ISSN: 2010-0221
    • Frequency: Bimonthly
    • DOI: 10.18178/IJCEA
    • Editor-in-Chief: Dr. Eldin W. C. Lim
    • Executive Editor: Mr. Ron C. Wu
    • Abstracting/ Indexing: Chemical Abstracts Services (CAS), Ulrich's Periodicals Directory, CABI, DOAJ, Electronic Journals Library, Google Scholar, Engineering & Technology Digital Library, ProQuest, and Crossref
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Editor-in-chief
Dr. Eldin W. C. Lim
Dept. of Chemical and Biomolecular Engineering,
National University of Singapore, Singapore
IJCEA 2014 Vol.5(1): 73-78 ISSN: 2010-0221
DOI: 10.7763/IJCEA.2014.V5.354

Numerical Model to Predict Wax Crystal Size Distribution in Solvent Dewaxing Unit

Nassir D. Mokhlif, Hussain H. Al-Kayiem, and Masri Bin Baharom
Abstract—A mathematical model was implemented to predict the wax crystal size distribution of distillate lube oil SN500. The model solved the coupled equations for the heat transfer and moments of the population balance numerically. The predicted temperatures and wax crystal size distributions were validated with actual unit database and experimental measurements. The kinetics of the wax crystallization considered only the nucleation and crystal growth. N-alkanes from n-C22 to n-C36 were tested to select compound for representation of the wax fraction. The nucleation process order constant was fitted from wax recovery experimental measurements. The developed numerical model was proved to be capable to predict wax crystal size distribution in real solvent dewaxing plant. The model results were found to be in good agreement with the process data.

Index Terms—Solvent dewaxing, numerical model, wax crystal size distribution, lube oil production.

The authors are with the Mechanical Engineering Department, UTP, Tronoh 31750, Perak, Malaysia (e-mail: nassirdhamin@yahoo.com).

[PDF]

Cite: Nassir D. Mokhlif, Hussain H. Al-Kayiem, and Masri Bin Baharom, "Numerical Model to Predict Wax Crystal Size Distribution in Solvent Dewaxing Unit," International Journal of Chemical Engineering and Applications vol. 5, no. 1, pp. 73-78, 2014.

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