Volume 42, Issue 8 pp. 1602-1610
Research Article

Assessing Blending of Non-Newtonian Fluids in Static Mixers by Planar Laser-Induced Fluorescence and Electrical Resistance Tomography

Giuseppe Forte

Giuseppe Forte

University of Birmingham, School of Chemical Engineering, Edgbaston, B152TT Birmingham, United Kingdom

Johnson Matthey Technology Centre, Johnson Matthey, TS23 4LB Billingham, United Kingdom

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Andrea Albano

Andrea Albano

University of Birmingham, School of Chemical Engineering, Edgbaston, B152TT Birmingham, United Kingdom

University of Pisa, Department of Civil and Industrial Engineering, Via Diotisalvi 2, 56126 Pisa, Italy

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Mark J. H. Simmons

Mark J. H. Simmons

University of Birmingham, School of Chemical Engineering, Edgbaston, B152TT Birmingham, United Kingdom

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Hugh E. Stitt

Hugh E. Stitt

Johnson Matthey Technology Centre, Johnson Matthey, TS23 4LB Billingham, United Kingdom

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Elisabetta Brunazzi

Elisabetta Brunazzi

University of Pisa, Department of Civil and Industrial Engineering, Via Diotisalvi 2, 56126 Pisa, Italy

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Federico Alberini

Corresponding Author

Federico Alberini

University of Birmingham, School of Chemical Engineering, Edgbaston, B152TT Birmingham, United Kingdom

Correspondence: Federico Alberini ([email protected]), University of Birmingham, School of Chemical Engineering, Edgbaston, B152TT Birmingham, United Kingdom.Search for more papers by this author
First published: 15 April 2019
Citations: 12

Abstract

Planar laser-induced fluorescence (PLIF) and electrical resistance tomography (ERT) were applied simultaneously to monitor the mixing performance of a KM static mixer for the blending of non-Newtonian fluids of dissimilar rheologies in the laminar regime. The areal distribution method was used to obtain quantitative information from the ERT tomograms and the PLIF images. Comparison of the ERT and PLIF results demonstrates the ability of ERT to detect the mixing performance in cases of poor mixing within the resolution of the measurement, though the accuracy decreases as the condition of perfect mixing is approached. Thus, ERT has the potential to detect poor mixing within the confines of its resolution limit and the required conductivity contrast, providing potential rapid at-line measurement for industrial practitioners.

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