The scale of homogeneity in solid particulate mixtures is critical to
diverse sets of applications ranging from fertilizers to pharmaceutica
ls and advanced ceramics. In the past, probability-based models have b
een used to describe random particulate mixtures. However, such models
are not generally applicable to ordered mixtures such as those obtain
ed by various particle coating techniques. The current work presents a
concentric-shell model for the simulation of particle distributions i
n a spatial framework. The model is applicable to mixtures of multiple
components with a variety of particle coating configurations and part
icle size distributions. For each component, the calculated results in
clude mean, variance and percentile distributions. For random particle
mixtures, the compositional variances predicted by the concentric-she
ll and probability-based models converged with increasing sample size;
however, the concentric-shelf model was more appropriate for the eval
uation of close-range mixing distributions. In addition, the concentri
c-shell model is useful in evaluating component distributions over a r
ange of mixture types, including random, partially ordered and ordered
mixtures. A substantial decrease in mixing Variance was predicted for
ordered mixtures achieved by particle coating.