Abstract
In this investigation, the statistical optic characterization approach is covered for four industrial powders, namely; gelatin, iron, tin and sodium chloride. For all of these powders few size fractions from sieve analysis are optically analyzed and the particles shape and size distributions are obtained. A discussion of the effect of these primary properties statistical distributions on some of the physical parameters (i.e. the secondary properties) including friction, flow and density is presented. A standard sample size determination technique for proper number of experimental data (i.e. particles) to obtain reliable and accurate results is utilized. Several standard statistical probability density function are attempted in order to obtain the best fit of the experimental statistical diameter histograms of particles. The Gamma probability function is found to be a suitable statistical model to fit the experimental particle diameter histograms of the four powders. Finally, a non-linear correlation is displayed between the fitted distribution function parameters and the measured secondary powder parameters.
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