Voronoï tessellation analysis of sets of randomly placed finite-size spheres

The purpose of this note is to clarify the effect of the finite size of spherical particles upon the characteristics of their spatial distribution through a random Poisson process (RPP). This information is of special interest when using RPP data as a reference for the analysis of the spatial structure of a given (non-RPP) particulate system, in which case ignoring finite-size effects upon the former may yield misleading conclusions. We perform Monte Carlo simulations in triply-periodic spatial domains, and then analyze the particle-centered Voronoï tessellations for solid volume fractions ranging from 10−5 to 0.3. We show that the standard-deviation of these volumes decreases with the solid volume fraction, the deviation from the value of point sets being reasonably approximated by an exponential function. As can be expected, the domain size for which the random assemblies of finite-size particles are generated has a constraining effect if the number of particles per realization is chosen too small. This effect is quantified, and recommendations are given. We have also revisited the case of random point sets (i.e. the limit of vanishing particle diameter), for which we have confirmed the accuracy of the earlier data by Tanemura (2003). •Finite-size sphere assemblies are generated via random Poisson process.•Voronoi tessellation analysis is performed for large sample sizes.•Influence of solid volume fraction is systematically studied.•The present data is relevant e.g. to studies which search to quantify particle clustering.