Analysis of rheology and wall depletion of microfibrillated cellulose suspension using optical coherence tomography

Janne Lauri, Antti Koponen (Corresponding Author), Jakub Czajkowski, Sanna Haavisto, Tapio Fabritius

Research output: Contribution to journalArticleScientificpeer-review

14 Citations (Scopus)


A rheometric method based on velocity profiling by optical coherence tomography (OCT) was used in the analysis of rheological and boundary layer flow properties of a 0.5% microfibrillated cellulose (MFC) suspension. The suspension showed typical shear thinning behaviour of MFC in the interior part of the tube, but the measured shear viscosities followed interestingly two successive power laws with an identical flow index (exponent) and a different consistency index. This kind of viscous behaviour, which has not been reported earlier for MFC, is likely related to a sudden structural change of the suspension. The near-wall flow showed existence of a slip layer of 2-12 µm thickness depending on the flow rate. Both the velocity profile measurement and the amplitude data obtained with OCT indicated that the slip layer was related to a concentration gradient appearing near the tube wall. Close to the wall the fluid appeared nearly Newtonian with high shear rates, and the viscosity approached almost that of pure water with decreasing distance from the wall. The flow rates given by a simple model that included the measured yield stress, viscous behavior, and slip behavior, was found to give the measured flow rates with a good accuracy.
Original languageEnglish
Pages (from-to)4715-4728
Number of pages14
Issue number11
Publication statusPublished - 2017
MoE publication typeA1 Journal article-refereed


  • shear viscosity
  • yield stress
  • lubrication layer
  • slip velocity
  • velocity profile
  • optical coherence tomography

Fingerprint Dive into the research topics of 'Analysis of rheology and wall depletion of microfibrillated cellulose suspension using optical coherence tomography'. Together they form a unique fingerprint.

Cite this