Simulation of single and multicomponent multiphase flows using mesoscopic CFD method (Pseudo-Potential Lattice Boltzmann Model). In particular, Simulation of droplet size distribution, ingredients and stability of emulsions.
This project uses the pseudopotential lattice Boltzmann method (PP-LBM) to predict droplet size distributions (DSDs) and other properties of emulsions as a function of process variables during manufacturing. PP-LBM is a capable tool for tracking multiple non-ideal components in different phases and predicting the formation of interfaces between the dispersed and continuous phases during emulsification. This capability of PP-LBM is used to study the effects of differences in emulsion composition on the quality of the emulsions that are produced by manufacturing at varying process conditions. In addition to the numerical study, we calculate droplet size distributions of emulsions experimentally for internal and external measurements. The detailed information about the physical and mathematical modeling of engineering processes are:
1- Simulation of droplet size distributions (DSDs) and other properties of emulsions as a function of process variables during the emulsification inside a mixing tank by the pseudopotential lattice Boltzmann method (PP-LBM).
2- Modeling of the surfactant and emulsion ingredients during the emulsification process.
3- Design the experimental set-up for calculation of DSD during emulsification with Focused Beam Reflectance Measurement (FBRM) and Particle Vision and Measurement (PVM) and external measurement (after production) with Malvern Morphologi g3.
4- Image processing solid particles/ bubbles/ droplets in a continuous phase.