The many methods which exist to characterise the quality of a powder mixture have been recently reviewed and linked with mixing mechanisms in current literature. In this paper, we try to develop a novel methodology for defining and characterising homogeneity using principal component analysis (PCA) as an alternative to well-known statistical methods, such as auto-correlation functions or variances. We apply this to image analysis for the case of a powder mixture flowing out of a continuous mixing device. An emphasis is placed on the calculation in real-time of the degree of homogeneity of loose materials on the conveyor belt, carrying this mixture. Mass flow disturbances applied to a binary mixture are studied by the proposed methodology, which is found to be sensitive to small structural defaults.
A novel method of calculating a solid velocity field based on a twin-plane
electrical capacitance system is presented. This method introduces the concept of
the best-correlated pair of pixels instead of the classical assumption that a flow
pattern between two sensor planes is frozen. Preliminary results and future
applications of the proposed method are discussed.
The paper presents a novel dual modality reconstruction algorithm (DMR) based on processing data collected from c-ray and electrical capacitance tomography sys-tems. The tomograms are shown for noise-free data as well as for data captured for a gas/solids flow in a vertical channel.
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