A method to utilize computational fluid dynamics (CFD) as a modeling tool to predict the mixing blend tool dynamics is presented. Blender and various tool geometries have been analyzed and computational grids have been created using commercially available CFD software. Simulations have been performed at various rotational tool speeds, treating the toner particle in air as a pseudo-homogenous single phase fluid while utilizing the K-ω turbulence model for the strongly swirling flow pattern. In addition to flow observations, the total moment of the tool surfaces and tool wall shear stress have also been measured as critical blending parameters. The tool area weighted average shear stress and integral tool shear stress have been found to respond to the various tool configuration simulated, suggesting that certain tool configurations have an increased blending functional efficiency for additive distribution and attachment.