Numerical Techniques for Process Technology

Objectives

This course aims to provide an introduction to numeric techniques used by the industry for quantitative treatment of fluid flow, mass and heat transport (Computational Fluid Dynamics) and fundametals of statistical physics and statistical ensembles.

The course explains how the basic principes of physics and applied mathematics enable the use of numeric techniques for the purposes of process technology.

Content

Description of different types of flow. Navier-Stokes equation. Numerical techniques used for quantitative treatment of fluid flow, mass and heat transport (Computational fluid dynamics). Fundamentals of statistical physics and statistical ensembles. Molecular simulations. Introduction to molecular dynamics and Monte Carlo simulations. Python programming.

On completion of the course

The student should have the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

The student will

• Achieve a deeper insight into fundamental transport equations of process technology
• Learn how to apply various numerical techniques for quantitative treatment of fluid dynamics and interfacial systems for the purposes of process equipment design

Skills

The student will

• Master the basics of working with Linux OS
• Be able to write programs in Fortran for the purposes of numeric simulations (CFD)
• Be able to modify/maintain existing Fortran packages

General competence

The student will acquire knowledge and understanding to read advanced literature and scientific articles dealing with numeric simulations (CFD), as well as utilize CFD packages widely used in industry while being aware of their strengths and limitations.