Module Notes
Faculty Member (Members):
Undergraduate, 10th Semester (5th Year, Spring)
Module Category: Thematic Unit Electives, Group A
Module Type: Core Chemical Engineering
Teaching Language: Greek
Course Code: CHM_E_A4
Credits: 3
ECTS Credits: 4
Teaching Type: Lectures (3h/W) Project/Homework (6/Semester)
Module Availability on Erasmus Students: No
Course URL: E-Class (CMNG2191)
Student's office hours: Tuesday 5-8 pm - https://upatras-gr.zoom.us/j/96118282643?pwd=K0hpWHNMdXJ1TEFqT0RTN2wzTlExQT09
Module Details

The basics of computational transport phenomena

How to discretize 3d spaces and construct high quality meshes

How to solve realistic problems

Develop a student's ability for result presentations and data visualization of engineering problems.

Prerequisite modules have not been set. The students however, must have good knowledge of Fluid Mechanics, Heat & Mass Transfer, Numerical Methods

1)  Introduction to Finte Volume, Finite Element, and Finite Difference Methods

2) Mesh Generation

Unstructured vs structured mesh, assessment of mesh quality, effect of element shape on accuracy and stability, false diffusion due to mesh alignment, types of boundary conditions, computational assignment using CAE tool.

3) Momentum Transport in Laminar Flows

Introduction to Navier-Stokes (NS) equations in dimensional and non-dimensional form, special cases of creeping and inviscid flows, iterative and non-iterative methods for numerical solution of NS equations (SIMPLE, PISO, FSM methods), computational assignment using CAE tool.

4) Heat Conduction and Convection in Laminar Flows

Steady and unsteady heat condition equations, natural and forced convection in laminar flows, introduction to relevant non-dimensional numbers, difficulties faced in numerical solution of energy equation, coupling of energy and momentum equations, computational assignment using CAE tool.

4) Mass Transport in Laminar Flows

Fick's law of mass diffusion, equations of change for multi-component gas-phase diffusive and convective mass transport, introduction to relevant non-dimensional numbers, solution procedure for mass transport equation, computational assignment using CAE tool

5) Introduction to Turbulent Flows

Practical examples of turbulent flows, statistical description of turbulent flows, scales of turbulent motion, transition from laminar to turbulent flows, examples of free shear flows and wall flows

6) Introduction to Simulations of Turbulent Flows

Turbulence modelling approaches (RANS, LES, DNS), choice of an approach based on        computational cost and relevant physics, examples of most commonly used turbulence    models, computational assignments using CAE tool

7) Introduction to OpenFoam

8) Applications with OpenFoam

Teaching Organization

LECTURES: 3 h/w
PROJECT / HOMEWORK: 6/semester

Total Module Workload (ECTS Standards):

123 Hours

Assessment type: During the semester

Assessment and grading methods 

  1. Exercises (45% of the final grade).
  2. Research Project based on the recent scientific literature (55%)

Basic Book:

H. K. Versteeg and W. Malalasekera, 'An Introduction to Computational Fluid Dynamics: the Finite Volume Method', Longman Scientific & Technical, 2007.

Additional Literature:

  • J. H. Ferziger and M. Peric, 'Computational Methods for Fluid Dynamics', Springer, 2004.
  • C. Hirsch, 'Numerical Computation of Internal and External Flows: Volume 1, Fundamentals of Numerical Discretization', 2nd Edition, John Wiley & Sons, 2001.
  • Hirsch, 'Numerical Computation of Internal and External Flows: Volume 2, Methods of Inviscid and Viscous Flows', John Wiley & Sons, 2001.C.