A fast reconstruction algorithm for time-resolved X-ray tomography in bubbling fluidized beds

Journal article (2016)

Authors

J. Gomez Hernandez ChemE/Product and Process Engineering - AS , Carlos III University of Madrid
J.R. van Ommen ChemE/Product and Process Engineering - AS
E.C. Wagner ChemE/Afdelingsbureau
R.F. Mudde ChemE/Transport Phenomena - AS , Executive board
Research Group
ChemE/Transport Phenomena (AS) (TU Delft)
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Published Date

2016

Language

English

Reuse Rights

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Faculty

Applied Sciences

Department

ChemE/Chemical Engineering

Research Group

ChemE/Transport Phenomena

Abstract

A new tomographic reconstruction algorithm is proposed for fast image reconstruction. The results are based on a high speed X-ray tomography system, consisting of 3 X-ray sources and 32 detectors for each source. The proposed algorithm combines void measurements of each X-ray beam into a triangular mesh, which is formed by the intersection points of all the beams. Simulations and real fluidized bed data are utilized to assess the quality of the proposed algorithm compared to the Simultaneous Algebraic Reconstruction Technique (SART). The influence of the number, position and diameter of the phantoms on the proposed reconstruction method is studied. The new method provides images with similar quality to SART reconstructions, although obtaining smaller bubble sizes. The low computing time needed to reconstruct each image with the new method, which is more than 5000 times faster than SART for a 40 × 40 mesh, encourages the use of the new method for the online image reconstruction of X-ray measurements.