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Proceedings Paper

Augmented-reality visualization of fluid mixing in stirred chemical reactors using electrical resistance tomography (ERT)
Author(s): Reg Mann; S. J. Stanley; D. Vlaev; E. Wabo; K. Primrose
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Paper Abstract

It is highly desirable to be able to interrogate in 3-D the whole fluid inside a typical stirred vessel, especially when used as a chemical reactor. Electrical resistance tomography (ERT) can scan the fluid with a spatial discrimination of the order of O(103) voxels with video frame rate acquisition speeds. Some new augmented-reality results are presented for a 2.3m3 pilot scale vessel detecting miscible fluid mixing of a brine tracer pulse and solid-liquid mixing. The images are created by solid- body iso-surfaces between which are variable opacity layers. Extra augmentation can be achieved by the use of colour, giving a 5-D representation of the mixing process. For miscible mixing, the geometry and spatial patterns clearly highlight the effect of injection position on mixing rates. For the solid-fluid mixing, it is possible to visualise in 5-D the way solid resides on the vessel base behind baffles as well as indicate the height to which solids are effectively suspended. The dynamics of mixing after a charge of solids can also be captured and visualised using augmented-reality. The facility to envisage mixing information in up to 5-D offers new possibilities for control action linked to spatial distributions of phases and components.

Paper Details

Date Published: 2 February 2001
PDF: 12 pages
Proc. SPIE 4188, Process Imaging for Automatic Control, (2 February 2001); doi: 10.1117/12.417167
Show Author Affiliations
Reg Mann, Univ. of Manchester Institute of Science and Technology (United Kingdom)
S. J. Stanley, Univ. of Manchester Institute of Science and Technology (United Kingdom)
D. Vlaev, Univ. of Manchester Institute of Science and Technology (United Kingdom)
E. Wabo, Univ. of Manchester Institute of Science and Technology (United Kingdom)
K. Primrose, Industrial Tomography Systems plc (United Kingdom)


Published in SPIE Proceedings Vol. 4188:
Process Imaging for Automatic Control
Hugh McCann; David M. Scott, Editor(s)

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