ParScale stands for “Particle Scale Models”, and is a publicly available library to simulate intra-particle transport phenomena, e.g., heat or mass transfer, as well as homogeneous and heterogeneous reactions in porous particles. For example, the rate of oxidation of porous metal particles suspended by a hot gas stream can be predicted by ParScale.
ParScale is available via https://github.com/CFDEMproject, and is designed as an add-on to the soft-sphere particle simulation tool LIGGGHTS(R). As such, ParScale is part of the CFDEMproject initiated by Christoph Kloss and Christoph Goniva. However, ParScale can also be run in stand-alone mode for predicting, e.g., the chemical conversion of particles, fitting of model parameters to experimental data, or optimization studies of reactive particulate systems.
CPPPO stands for “Compilation of Fluid-Particle Post Processing”, and is a publicly available library to analyze simulation data on the fly, e.g., spatially average (i.e., "filter") fluid velocity fields, draw samples of forces on particle, and compute running averages (i.e., "bin the data"). For example, CPPPO can compute filtered velocities fields and can computed advanced statistical information from this filtered data (e.g., filtered drag coefficients).