Mechanistic Model Development & Validation of Particulate Processes
Here, we seek to develop mechanistic and predictive models particulate processes such as granulation, mixing and milling. We are working develop sub-models (kernels) that describe the dynamics as a function of key material properties and process parameters. The models are validated against experimental data at the lab-scale and are tested for their predictive capability. Such validated models are able to reduce the time and cost associated with tedious experimental trials.
Schematic showing the formulation of the compartments within the granulator.
Schematic of the algorithm for solving the coupled heat/mass balance and PBM using a mechanistic kernel.
Agglomeration of Sodium carbonate primary particles. As the HLAS droplets come into contact with Sodium carbonate particles, a product (passivation) layer forms around the particle which aids in the agglomeration by forming strong liquid bridges which bind the particles together.
Schematic draft of the modeled well mixed seeded batch cooling crystallization process.
Batch Processes
Continuous Processes
A comprehensive systems representation of the granulation process
Residence Time Distribution (RTD) versus time for feedrate of 30 kg/h
Three regions of the twin-screw granulator based on the experimental setup
Experimental and simulated steady-state mass hold-up values.
Multi-dimensional PBM Simulation from Graphical User Interface
List of Publications from this Research Area: