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- Liberal arts and basic science courses
- Academic unit or major
- Graduate major in Systems and Control Engineering
- Instructor(s)
- Kosaka Hidenori
- Class Format
- Lecture
- Media-enhanced courses
- Day/Period(Room No.)
- Tue7-8(S422)
- Group
- -
- Course number
- SCE.M401
- Credits
- 1
- Academic year
- 2017
- Offered quarter
- 2Q
- Syllabus updated
- 2017/3/17
- Lecture notes updated
- -
- Language used
- English
- Access Index
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Course description and aims
This course focuses on the fundamentals of numerical analysis of thermo-fluid dynamics. Firstly the governing equations of thermo-fluid dynamics, which express the conservation of mass, momentum, and energy, are presented. Secondly the discretization of governing equations, numerical solving method of discretized equations, and the numerical errors in numerical analysis are explained. Finally the numerical simulation on the simple steady flow is conducted as an exercise.
Computational fluid dynamics (CFD) is widely used for designing the energy conversion systems such as internal combustion engines, turbo-charger. We need to understand the principles of numerical simulation of thermo-fluid dynamics and apply the numerical analysis to the actual systems for the validation of the computed results by CFD and developing the new models of thermo-fluid phenomena. In this course, the processes of numerical analysis of heat transfer and fluid flow are explained with examples of analysis in the simple field. By combining lectures and exercises, the course enables students to understand and acquire the fundamentals of numerical analysis of thermo-fluid dynamics widely applicable to analysis of energy conversion systems.
Student learning outcomes
By the end of this course, students will be able to:
1) Explain the physical meaning of governing equations of heat transfer and fluid flow.
2) Discrete the governing equations.
3) Explain the source of error in the numerical analysis.
4) Explain the methods for solving the discretized governing equations.
Keywords
thermo-fluid dynamics, numerical analysis, discretization, control volume method, pseudodiffusion
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | ✔ Practical and/or problem-solving skills |
Class flow
At the beginning of each class, solutions to exercise problems that were assigned during the previous class are reviewed. Towards the end of class, students are given exercise problems related to the lecture given that day to solve. To prepare for class, students should read the course schedule section and check what topics will be covered. Required learning should be completed outside of the classroom for preparation and review purposes.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Governing equations of heat transfer and fluid flow | Derivation of Fourier equation and Navier-Stokes equations |
| Class 2 | Discretization of governing equations | Understand discretization of equations by control volume method |
| Class 3 | Numerical analysis of heat transfer | Numerical analysis of 1-D heat transfer |
| Class 4 | Convection and diffusion | Understand the upwind difference method, exponential method, stability of solution, pseudodiffusion |
| Class 5 | Numerical analysis of fluid flow | Understand the analysis of incompressible fluid flow, discretization with staggered grid |
| Class 6 | Turbulence model | Understand the governing equations of turbulent flow, eddy diffusion model |
| Class 7 | Models for multi-phase flow and combustion | Understand the concepts of models for multi-phase flow and combustion |
| Class 8 | Numerical simulation of fluid flow in simple field | Numerical simulation of 2-D steady flow field |
Textbook(s)
Materials will be provided if they are required.
Reference books, course materials, etc.
Reference book: Patankar, S. V., Numerical Heat Transfer and fluid flow, Hemisphere Publishing Co., 1980
Assessment criteria and methods
Students' knowledge on numerical analysis of heat transfer and fluid flow will be assessed.
Final exams 70%. Exercise problems 30%
Related courses
- SCE.M302 ： Fundamentals of Thrmal Engineering
- SCE.S302 ： Fundamentals of System Science
Prerequisites (i.e., required knowledge, skills, courses, etc.)
Students are expected to have successfully completed Fundamentals of Thrmal Engineering or have equivalent knowledge.
