Topic outline

  • General

    Completing the course

    Kindly note that to pass the course you must a) pass the exam and b) gain about 50% of the total homework score. Grading of the course is evaluated by weighting 65% the points from 5 HW assignments, 35% the points from the exam. Exam will be a remote exam which is returned via MyCourses. Additional 0.5 grade units possible as bonus regarding activity in the course discussion forum or on Teams. You can reach this by being active at least 3 times and briefly justifying your activity in your last homework answer).

    See announcements on further info.

    Course literature

    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.

    Intended learning outcomes

    - ILO 1: Student can derive and explain what is heat equation, what is the connection to energy conservation and solve the heat equation (1d) and Newton’s cooling law (0d) numerically in Matlab. In general, the student learns to plot graphs and images from correlations or simulation data and report the findings.

    - ILO 2: Student can apply Fourier’s  and Newton’s laws in various contexts including fin theory and thermal resistance. Further, the student can analyse 2d heat transfer data in Matlab and formulate an energy balance for 2d system.

    - ILO 3: Student can write the governing equations of fluid/heat flow in a channel, estimate the energy balance and estimate temperature rise for different heating conditions. The student can confirm the channel heat transfer using generated/provided simulation data.

    - ILO 4: Student can formulate energy balance for external flow heat transfer systems and use basic correlations. The student can confirm the analysis using generated/provided simulation data. 

    - ILO 5: Student can choose Nusselt number correlation equations for different situations including natural convection and boiling.

    Graphical abstract

    Recommended for reaching course ILO's

    Mondays: exercise class helps in pen&paper part of HW assignments.

    Tuesdays: 1015-12 "standard" lecture at U1 - U154, Kandidaattikeskus and also on Teams

    Wednesdays: 1015-12: Matlab class at U351 (Win) - U351, Kandidaattikeskushelps in computational of HW

    Deadlines for returning HW are strict (sorry, no exceptions or prolongation of DL allowed)