Course detail

CFD for Aerospace

FSI-OCF-AAcad. year: 2022/2023

Introduction, historical background. Algorithms of CFD problems solution. Mathematical model - governing equations. Finite difference method and finite volumes method - formulation and theory. Discretization. Numerical solution of systems of algebraic equations. Turbulence modelling, compressible flows and other particular advanced models. Practical guidelines to solutions of engineering problem in area of aerospace external aerodynamics.

Language of instruction

English

Number of ECTS credits

4

Mode of study

Not applicable.

Guarantor

Ing. Robert Popela, Ph.D.

Department

Institute of Aerospace Engineering (LÚ)

Offered to foreign students

Of all faculties

Learning outcomes of the course unit

Student will gain knowledge about numerical approach to solution of Navier-Stokes equations, practical implementation of CFD codes, about methodical approach to simulation model preparation and practical solution of concrete particular flows. Also industrial standards for computational fluid dynamics problems simulations is presented.

Prerequisites

Mathematics (mainly differential and integral calculus), physics (hydrodynamics and thermomechanics, gasdynamics), aerodynamics of low speed flows.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

The course is taught through lectures explaining the basic principles and theory of the discipline. Exercises are focused on practical topics presented in lectures with use of selected particular CFD code.

Assesment methods and criteria linked to learning outcomes

Participation at seminars and laboratory exercises is obligatory. Participation at lectures is voluntary. Course-unit credits will be awarded only if: - participation at practical exercises is greater than 11 of 14, - homework assignments are correctly elaborated and submitted, - report of laboratory measurement is submitted, - all problems presented at exercises are correctly finished.. Examination comprises written and possible oral parts. The written one consists of 5 test questions and 2 calculations. Each question per 10 points, each calculation per 20 points. At least 45 points is necessary to pass the exam. Oral part is optional in a case of necessity to clarify some answers from written part.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

The aim of course is to familiarize students with theoretical fundamentals of finite volume method for computational fluid dynamics. Also to present industrial standards of CFD tools implementation for external aerodynamics in aerospace industry.

Specification of controlled education, way of implementation and compensation for absences

Student have to solve all problems presented at exercises. If presence at exercises is less then 50 % student has to compensate missed exercises individually.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Anderson, J., D., Computational Fluid Dynamics, McGraw-Hill Education, ISBN-10: 0070016852
Tu, J., Yeoh, G., H., Liu, Ch., Computational Fluid Dynamics - A practical approach, Butterworth-Heineman, ISBN 978-0-7506-8563-4

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme N-AST-A Master's 1 year of study, summer semester, compulsory

  • Programme LLE Lifelong learning

    branch CZV , 1 year of study, summer semester, compulsory

Type of course unit

 

Lecture

13 hod., optionally

Teacher / Lecturer

Ing. Robert Popela, Ph.D.

Syllabus

Introduction and historical perspective.
Algorithm of CFD solution.
Mathematical apparatus of CFD.
Finite volume method.
Turbulence modelling.
Discretization.
Numerical solution of algebraic equations system.
Practical approach to simulation - industry perspective.
Parallelization.
Compressible flows.

Computer-assisted exercise

26 hod., compulsory

Teacher / Lecturer

Ing. Robert Popela, Ph.D.

Syllabus

Generation of geometrical model of simulated problem = preprocessing.
Grid generation.
CFD code solution.
Postprocessing - qualitative and quantitative data assessment.
Report.

E-learning texts

Notes and presentations
L-1 Introduction to CFD.pdf 0.76 MB
Numerical Methods (Jacobi and Gauss-Seidel methods) Mohamed Abdelkader.pptx 0.61 MB