Before the course and latest by 30th October
Open Matlab in a computer class and go through some basic aspects like
plotting picture of function, creating variables of scalar/vector/matrix, writing a script (.m file)
A thorough video on using Matlab:
Matlab is the most common engineering math software and you will probably greatly benefit from learning
to use it a little during the course. Second, course feedback from 2017 and 2016 suggests we should have even
more Matlab. Third, we think it is an efficient environment to learn heat transfer physical phenomena.
F. Incropera, Principles of Heat and Mass Transfer.
Note: there are many editions of this book and most likely the content wrt the course is valid.
Lecture slides: uploaded during the course.
Recommended for reaching course ILO's
Mondays: exercise class helps in pen&paper part of HW assignments.
Tuesdays in 118/K3 1015-12: more "standard" lecture with experimental and theory insight.
Wednesdays in Maari 1015-12: computational part of HW largely supported.
Deadlines for returning HW (sorry, no exceptions or prolongation of DL allowed)
HW1 - 8.11.
HW2 - 15.11.
HW3 - 22.11.
HW4 - 29.11.
HW5 - 7.12.
Completing the course
65% of the grade: 5 homeworks (Matlab-65% of score + pen&paper-35% of score returned each Wednesday via MyCourses starting Nov.7th)
35% of the grade: exam (must pass)
Intended learning outcomes
example solutions and boundary conditions, and solve the heat equation (1d) and Newton’s cooling law (0d) numerically in Matlab.
- ILO 2: Student can apply Fourier’s and Newton’s laws in fin theory and thermal resistance context. Further, the student can program a 2d Matlab solver to solve heat eqn in Matlab, change boundary conditions, and understand how different boundary conditions affect the system energy balance.
the 2d Matlab solver as well as use the solver to estimate Nusselt number/heat transfer coefficient and other quantities.
number distribution of a low Reynolds number heated object in cross flow using the developed Matlab code with a provided, fixed velocity field.
convection and boiling. The student can also modify the developed Matlab code to work in a solar heat collector example.
Week 1 (29/10 ->): Newton's and Fourier's laws, 0d and 1d heat transfer in Matlab
Week 2 (5/11 ->): 1d and 2d heat conduction, fin theory, 2d heat diffusion equation in Matlab
Week 3 (12/11 ->): Internal flow and heat transfer between two plates, 2d heat convection-diffusion eqn in Matlab
Week 4 (19/11 ->): External flow and cylinder beds heat transfer, 2d heat transfer simulation in a pin fin heat exchanger in Matlab
Week 5: (26/11 ->): Natural convection, boiling and radiation, 2d heat transfer in a solar heat collector example case in Matlab