New Method for Viscosity Estimation of Waxy Lube Oil/MEK-Toluene Solvent Composition


	Journal of Applied Sciences
	Year: 2014 \| Volume: 14 \| Issue: 23 \| Page No.: 3276-3281 DOI: 10.3923/jas.2014.3276.3281

New Method for Viscosity Estimation of Waxy Lube Oil/MEK-Toluene Solvent Composition

Hussain H. Al-Kayiem, Nassir D. Mokhlif and Masri B. Baharom

Abstract: This study presents a newly developed method to estimate the dynamic viscosity of lubricating oil feedstock/solvent composition in solvent dewaxing process, where the high normal paraffin components are to be extracted from the mixture. A reliable technique to determine the flow properties in the complex multi-component mixture depends on selecting high carbon number, from the C₂₀ to C₄₀ chain, as a solute and light one, bellow C₂₀, as a liquid that matches the wax mass fraction in the light portion of the oil. The study focuses on the viscosity in the dissolution region (liquid phase) to characterize the feedstock/solvent composition behavior. The tested feedstock is ASE30 and the solvent is MEK-Toluene. The selected high carbon numbers are C₃₃, C₃₄ and C₄₅, while the light one is C₁₀. The obtained viscosity results by the proposed method were found to be in good agreement with the predicted viscosities of multi mixture components using the available mixed rules procedure reported in the literature. It can be concluded that the linkage between the solubility model and the carbon number selection could govern the characteristics of the waxy lube oil/MEK-Toluene solution.

PDF Fulltext XML References Citation Report Citation

How to cite this article:

Hussain H. Al-Kayiem, Nassir D. Mokhlif and Masri B. Baharom, 2014. New Method for Viscosity Estimation of Waxy Lube Oil/MEK-Toluene Solvent Composition. Journal of Applied Sciences, 14: 3276-3281.

DOI: 10.3923/jas.2014.3276.3281

URL: https://scialert.net/abstract/?doi=jas.2014.3276.3281

COMMENT ON THIS PAPER

	Full Name:
	E-mail:
	Comments:

Navigation


		Online First
		Current Issue
		Previous Issues
		Editorial Board
		Submit a Manuscript
		Guide to Authors
		Subscribe to E-alerts

Indexed In


		AGRIS
		ASCI-Database
		Asian Digital Library
		Chemical Abstract Services
		Google Scholar

Follow @scialert

Science Alert