PARTICLE SIZE CHARACTERIZATION OF A JET MILL PRODUCT VIA PRINCIPAL COMPONENT ANALYSIS

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Abstract
A powerful statistical technique, principal component, analysis, can be used to characterize the product particle size distribution of a jet mill. Usually the average and variance of a product size distribution are used to characterize or specify the product. With principal component analysis, a broader spectrum of the product distribution can be characterized by only one or two principal components. Using these principal components in reverse, one can approximately reconstruct the particle size distribution. These principal components can also be treated as response variables and regressed against operating variables of the micronizing process. The technique employed in this study thus offers: 1. a useful method for characterizing the jet mill product size distributions, and can be directly adapted in powder production operations. 2. an alternate basis for comparing jet mill configurations and operating conditions.

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