Computational Heat Transfer, 6 credits
Värmeöverföring, 6 hp
TMMV54
Main field of study
Energy and Environmental Engineering Mechanical EngineeringCourse level
Second cycleCourse type
Programme courseExaminer
Hossein Nadali NajafabadiDirector of studies or equivalent
Roland GårdhagenEducation components
Preliminary scheduled hours: 92 hRecommended self-study hours: 68 h
Available for exchange students
YesMain field of study
Energy and Environmental Engineering, Mechanical EngineeringCourse level
Second cycleAdvancement level
A1XCourse offered for
- Design and Product Development
- Energy-Environment-Management
- Industrial Engineering and Management - International, M Sc in Engineering
- Industrial Engineering and Management, M Sc in Engineering
- Mechanical Engineering, M Sc in Engineering
- Applied Physics and Electrical Engineering - International, M Sc in Engineering
- Applied Physics and Electrical Engineering, M Sc in Engineering
- 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
Numerical Methods, Algebra, Analysis, and Basic course/es in thermodunamics, fluid mechanics and heat transfer.Intended learning outcomes
After the course the student must be able to:
- Model, calculate and apply basic heat transfer phenomena: conduction, convection and radiation
- Derive,implement and apply numerical methods for analysis of industrial heat transfer problems
- Apply first law of thermodynamics to a comprahensive analysis of industrial heat transfer problems
- Model and simulate industrial heat transfer problems on a detailed as well as on a system level
- Valuate the relevans of different solutions of industrial heat transfer problems
- Model, simulate and analyze realistic industrial heat transfer problems with commercial available software
Course content
Basic relations for heat transport in fluids and solids. Heat transport across material boundaries. Modelling techniques. Numerical computational methods in heat transfer, especially. The finite difference method. Discretization techniques. Explicit and implicit numerical methods for one- and two-dimensional problems, both steady-state and non-steady.
Teaching and working methods
Teaching is in the form of lectures and guidance for assignments and project. Assignments and project is solved in groups. The course includes a large amount of computer work.
Examination
PRA4 | Project assignment | 6 credits | U, 3, 4, 5 |
Grades
Four-grade scale, LiU, U, 3, 4, 5Other information
Supplementary courses: Computational Methods in Fluid Dynamics (CFD), Computational Methods in Fluid Dynamics (CFD) advanced course, Mechanical engineering System - project course.
Department
Institutionen för ekonomisk och industriell utvecklingDirector of Studies or equivalent
Roland GårdhagenExaminer
Hossein Nadali NajafabadiCourse website and other links
http://www.iei.liu.se/mvs/utbildning/avancerade-kurser/tmmv54?sc=true&l=enEducation components
Preliminary scheduled hours: 92 hRecommended self-study hours: 68 h
Course literature
Anges i kursinformationen på kurshemsidan.Code | Name | Scope | Grading scale |
---|---|---|---|
PRA4 | Project assignment | 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.
Note: The course matrix might contain more information in Swedish.
I | U | A | Modules | Comment | ||
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1. DISCIPLINARY KNOWLEDGE AND REASONING | ||||||
1.1 Knowledge of underlying mathematics and science (G1X level) |
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X
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PRA4
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1.2 Fundamental engineering knowledge (G1X level) |
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X
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PRA4
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1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level) |
X
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1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level) |
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1.5 Insight into current research and development work |
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2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES | ||||||
2.1 Analytical reasoning and problem solving |
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X
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PRA4
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2.2 Experimentation, investigation, and knowledge discovery |
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X
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PRA4
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2.3 System thinking |
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X
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PRA4
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2.4 Attitudes, thought, and learning |
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2.5 Ethics, equity, and other responsibilities |
X
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PRA4
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3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION | ||||||
3.1 Teamwork |
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3.2 Communications |
X
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3.3 Communication in foreign languages |
X
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4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT | ||||||
4.1 External, societal, and environmental context |
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4.2 Enterprise and business context |
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4.3 Conceiving, system engineering and management |
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4.4 Designing |
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4.5 Implementing |
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4.6 Operating |
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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 |
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5.2 Economic conditions for knowledge development |
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5.3 Identification of needs, structuring and planning of research or development projects |
X
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5.4 Execution of research or development projects |
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5.5 Presentation and evaluation of research or development projects |
|
X
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