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The aim of this work is to construct an algorithm for visualizing apolydisperse phase of solid particles (dust) in an inhomogeneous flow of atwo-phase gas-dust mixture that would allow us to see, within one plot, thedegree of polydispersity of the dust phase and the difference in the spatialdistributions of individual fractions of dust particles in the computationaldomain. The developed technique allows us to reproduce concentrations from oneto three fractions of dust particles in each cell in the computational domain.Each of the three fractions of dust particles is mapped to one of the mainchannels of the RGB palette. The intensity of the color shade is set to beproportional to the relative concentration of dust particles in this fraction.The final image for a polydisperse mixture is obtained by adding images in eachof the three color channels. To visualize the degree of polydispersity, Ipropose depicting the spatial distribution of the entropy of the dust mixture.The definition of the entropy of a mixture is generalized to take into accountthe states of a mixture with zero number of particles in the mixture. Theycorrespond to dust-free sections of the computational domain (voids). Theproposed method for visualizing the polydispersity of a mixture of particles isdemonstrated using the example of dynamic numerical modeling of the spatialfeatures of dust structures formed in turbulent gas-dust flows and in flowswith shock waves.

Tricolor Technique for Visualization of Spatial Variations of Polydisperse Dust in Gas-Dust Flows