Experimental Study and Numerical Modeling of Rheological and Flow Behavior of Xanthan Gum Solutions Using Artificial Neural Network

Meisam Mirarab Razi, Vassilios C. Kelessidis, Roberto Maglione, Majid Ghiass, Mohammad Ali Ghayyem

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

This study investigated effect of temperature, concentration, and shear rate on rheological properties of xanthan gum aqueous solutions using a Couette viscometer at temperatures between 25°C and 55°C and concentrations of 0.25 wt% to 1.0 wt%. The Herschel-Bulkley model described very well the non-Newtonian behavior of xanthan gum solutions. Shear rate, temperature, and concentration affected apparent viscosity and an equation was proposed for the temperature and concentration effect valid for each shear rate. This article also presents an artificial neural network (ANN) model to predict apparent viscosity. Based on statistical analysis, the ANN method estimated viscosity with high accuracy and low error.

Original languageEnglish
Pages (from-to)1793-1800
Number of pages8
JournalJournal of Dispersion Science and Technology
Volume35
Issue number12
DOIs
Publication statusPublished - Dec 2014

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Keywords

  • Artificial neural network
  • Herschel-Bulkley
  • drilling fluid
  • rheological properties
  • xanthan gum

ASJC Scopus subject areas

  • Physical and Theoretical Chemistry
  • Surfaces, Coatings and Films
  • Polymers and Plastics

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