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Efficient processing of particulate products across various manufacturingsteps requires that particles possess desired attributes such as size andshape. Controlling the particle production process to obtain requiredattributes will be greatly facilitated using robust algorithms providing thesize and shape information of the particles from in situ measurements. However,obtaining particle size and shape information in situ during manufacturing hasbeen a big challenge. This is because the problem of estimating particle sizeand shape (aspect ratio) from signals provided by in-line measuring tools isoften ill posed, and therefore it calls for appropriate constraints to beimposed on the problem. One way to constrain uncertainty in estimation ofparticle size and shape from in-line measurements is to combine data fromdifferent measurements such as chord length distribution (CLD) and imaging.This paper presents two different methods for combining imaging and CLD dataobtained with in-line tools in order to get reliable estimates of particle sizedistribution and aspect ratio, where the imaging data is used to constrain thesearch space for an aspect ratio from the CLD data.

Integration of in situ Imaging and Chord Length Distribution Measurements for Estimation of Particle Size and Shape