Simulation of process systems

The subject is focused on numerical modeling of particulate materials and process systems using the discrete element method (DEM). It includes classification of particulate materials, determination of their mechanical-physical properties and input parameters for DEM, creation of virtual particulate material, its calibration and validation of process system models. It includes the evaluation and interpretation of the results of numerical simulations and their application to process systems in the field of geological engineering and treatment.

After completing the course, the student will achieve the following learning outcomes:

Professional knowledge
The student will explain the principle of the discrete element method (DEM) and its use in the numerical modeling of particulate materials and process systems. It analyzes the significance of the mechanical-physical properties of particulate matter and their relationship to the input parameters of the numerical model. It characterizes the principles of contact models and their importance for the description of particle interactions and geometry. It will explain the principles of virtual particulate material calibration and DEM model validation. Critically assess the influence of input parameters, model assumptions, calibration and validation on the results and applicability of the DEM model of the process system.

Professional skills
The student determines the necessary input parameters of the DEM model based on the mechanical-physical properties of the particulate material and chooses a suitable method of their experimental determination. Design and perform the calibration of a virtual particulate material and evaluate the agreement between the experimental and numerical behavior of the material. It builds a DEM model of the selected process system, defines its input and operating conditions and performs a numerical simulation. Analyzes and interprets simulation results and performs model validation using experimental or operational data. It will assess the sensitivity of the results to the selected parameters and justify the suitability of the created model for solving the given process problem.

General qualifications
The student independently and responsibly solves complex problems of numerical modeling of particulate systems and chooses an appropriate procedure for solving them. Critically assesses input data, model assumptions and results of numerical simulations and takes into account their uncertainties and limitations. Expertly justifies the choice of parameters, calibration and validation procedure and can defend the conclusions based on the numerical model. He is able to interpret and clearly present the results of numerical simulations and use them in the evaluation and design of process systems. He can apply the acquired knowledge and procedures to new or modified tasks involving particulate materials.