Use of artificial neural network models to derive particle size distributions and their moments from chord length distributions
Master Thesis
2006
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University of Cape Town
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Abstract
The objective of this study was to develop a method for in-lie measurement of a particle size distribution (PSD) of suspended solids and its moments. This was part of a wider study, the aim of which was to develop a system for controlling a crystallisation process. The control strategy to be used is dependent on kinetic models of the process. These are in turn dependent on the zeroth to fifth moments of the particle size distribution and the supersaturation levels of the solution. In order to apply advanced control to a process, continuous monitoring of the process to provice real time information for the process model is required.
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Includes bibliographical references (leaves 121-123).
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Maússe, C. 2006. Use of artificial neural network models to derive particle size distributions and their moments from chord length distributions. University of Cape Town.