Computational Fluid Dynamics, 6 credits

Beräkningsmetoder i strömningslära, 6 hp

TMMV08

Main field of study

Aeronautical Engineering Mechanical Engineering

Course level

Second cycle

Course type

Programme course

Examiner

Jonas Lantz

Director of studies or equivalent

Johan Renner

Education components

Preliminary scheduled hours: 60 h
Recommended self-study hours: 100 h

Available for exchange students

Yes
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Period Timetable module Language Campus ECV
6CEMM Energy-Environment-Management (Technology for Sustainable Development) 8 (Spring 2017) 1 1 Swedish/English Linköping, Valla E
6MMAT Mathematics, Master's programme 2 (Spring 2017) 1 1 Swedish/English Linköping, Valla E
6MMAT Mathematics, Master's programme (Applied and Computational Mathematics) 2 (Spring 2017) 1 1 Swedish/English Linköping, Valla E
6CMMM Mechanical Engineering, M Sc in Engineering 8 (Spring 2017) 1 1 Swedish/English Linköping, Valla E
6CMMM Mechanical Engineering, M Sc in Engineering (Aeronautical Engineering) 8 (Spring 2017) 1 1 Swedish/English Linköping, Valla C
6CMMM Mechanical Engineering, M Sc in Engineering (Engineering Mechanics) 8 (Spring 2017) 1 1 Swedish/English Linköping, Valla E
6MMEC Mechanical Engineering, Master's programme 2 (Spring 2017) 1 1 Swedish/English Linköping, Valla E

Main field of study

Aeronautical Engineering, Mechanical Engineering

Course level

Second cycle

Advancement level

A1X

Course offered for

  • Energy-Environment-Management
  • Mechanical Engineering, M Sc in Engineering
  • Mathematics, Master's programme
  • Mechanical Engineering, Master's programme

Entry requirements

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.

Prerequisites

Numercial Methods, Algebra, Calculus, Energy Technology basic course, and preferably Heat Transfer. Familiarity with MATLAB (or equivalent) is also desirable.

Intended learning outcomes

The course aims to give a basic knowledge about simulation of fluid mechanical problems. After the course the student must be able to:

  • Create models of flows and describe limitations of the model compared to the real case.
  • Apply the finite volume model to discretize the governing equations of the flow.
  • Implement numerical solvers (computer programs) for one- and two-dimensional flows.
  • Use the implementations to analyse flow problems under different conditions.
  • Analyse and value the results.

Course content

Basic fluid mechanics and its equations, Similarity, Problem formulation. Computational methods - an overview, the Finite volume method, Discretization, Boundary conditions, Transient problems, Turbulence and turbulence models.

Teaching and working methods

Teaching is in the form of lectures and computer sessions. The course includes a large amount of computer work. The examination consists of computer assignments, which are presented in reports.

Examination

PRA1Project work. Written presentation.6 creditsU, 3, 4, 5

Grades

Four-grade scale, LiU, U, 3, 4, 5

Department

Institutionen för ekonomisk och industriell utveckling

Director of Studies or equivalent

Johan Renner

Examiner

Jonas Lantz

Course website and other links

http://www.iei.liu.se/mvs/utbildning/avancerade-kurser/tmmv08?l=en

Education components

Preliminary scheduled hours: 60 h
Recommended self-study hours: 100 h

Course literature

Additional literature

Books

  • H. Versteeg / W. Malalasekera, (2007) An Introduction to Computational Fluid Dynamics:The Finite Volume Method 2nd Ed
Code Name Scope Grading scale
PRA1 Project work. Written presentation. 6 credits U, 3, 4, 5

Regulations (apply to LiU in its entirety)

The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.

LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva. 

Additional literature

Books

H. Versteeg / W. Malalasekera, (2007) An Introduction to Computational Fluid Dynamics:The Finite Volume Method 2nd Ed

Note: The course matrix might contain more information in Swedish.

I = Introduce, U = Teach, A = Utilize
I U A Modules Comment
1. DISCIPLINARY KNOWLEDGE AND REASONING
1.1 Knowledge of underlying mathematics and science (G1X level)
X
PRA1

                            
1.2 Fundamental engineering knowledge (G1X level)
X
X
PRA1

                            
1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)
X
X
PRA1

                            
1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level)

                            
1.5 Insight into current research and development work

                            
2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES
2.1 Analytical reasoning and problem solving
X
PRA1

                            
2.2 Experimentation, investigation, and knowledge discovery

                            
2.3 System thinking
X
PRA1

                            
2.4 Attitudes, thought, and learning
X
PRA1

                            
2.5 Ethics, equity, and other responsibilities
X
PRA1

                            
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
3.1 Teamwork
X
PRA1

                            
3.2 Communications
X
PRA1

                            
3.3 Communication in foreign languages
X
PRA1

                            
4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT
4.1 External, societal, and environmental context
X
PRA1

                            
4.2 Enterprise and business context

                            
4.3 Conceiving, system engineering and management
X
PRA1

                            
4.4 Designing
X
PRA1

                            
4.5 Implementing
X
PRA1

                            
4.6 Operating
X
PRA1

                            
5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS
5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development

                            
5.2 Economic conditions for knowledge development

                            
5.3 Identification of needs, structuring and planning of research or development projects

                            
5.4 Execution of research or development projects

                            
5.5 Presentation and evaluation of research or development projects

                            

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