Whoever, a significant number of chemical and biochemical reactors consists of dynamic three phases. A lot of research effort is directed towards the development of tomography techniques to image such dynamic systems with partial successes is specific systems with limited operating conditions.
Warsito et al (2001) have shown that it is possible to image three phase systems with the use of electrical capacitance tomography with a multi-criterion optimization technique using an analog neural network involving the use of a linear back projection algorithm. Warsito and Fan (2003) have applied this to a three phase slurry bubble column system. The hold up tomograms have been reconstructed assuming that uniform solids hold up in the gas-liquid part system of the column is the same as the in the three phase region where the gas bubbles are present. This assumption has a limited validity. Only at very high solids hold ups (around 40%) and hence this technique can't be applied in systems where the hold up is in the range of 10 -20%. George et. al. (2001) have applied electrical impedance tomography and gamma ray densitometry tomography in conjunction to determine hold up of dynamic gas, solid and liquid is a slurry bubble column system. However the gamma ray densitometry tomography reconstructs the holdup profiles assuming azimuthally symmetry of the phase distribution. Again, this assumption severely limits the scope of application of such a technique.
This works presents details of studies done to develop algorithms for imaging three phase chemical systems based on the Alternating Minimization technique developed by Benac and O'Sullivan (2002). Tomography data have been generated via computer programs for on theoretical three phase (gas liquid and solid) phantom. This data has been processed via the algorithm developed for image-reconstruction. The reconstructed images describe the phase distribution of the three phases. This study has been carried out for a combination of 137Cs - 60Co, and 75Se - 137Cs gamma ray emitting isotopes, with the goal to characterize the error and limitations of the reconstruction for a given combination of gamma ray sources. The results and key findings of this study will be presented and discussed in detail.
References:
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