Applied Computational Fluid Dynamics (CFD) is a core course in the graduate Thermal and Fluid Sciences Curriculum. It provides an introduction to the use of commercial CFD codes to analyze flow and heat transfer in problems of practical engineering interest. The emphasis of the course is on the use of CFD as a virtual fluid laboratory. By studying a variety of flow situations students will develop a better intuition of fluid mechanics more quickly than is possible with traditional analytical approaces. An overview of the theory and numerics of CFD is provided, but students are not expected to write programs. At the end of the course students will understand the process of developing a geometrical model of the flow, applying appropriate boundary conditions, specifying solution parameters, and visualizing the results. They will also have an appreciation for the factors limiting the accuracy of CFD solutions.
ME 441/541 or consent of instructor
Time and Place
Tuesdays and Thursdays, 6:00 -- 7:50 PM, Engineering Building, Room 510
Instructor
Gerald Recktenwald, Associate Professor, Mechanical Engineering Department
Engineering Building, Suite 400, 725-4290,
Office Hours
Star CCM+ is installed on machines in the MCAE Lab, Engineering Building Room 420.
Students can get free copies of StarCCM+ for their personal use. For more information, contact Lisa Mesaros, Academic Program Manager, lisa.mesaros@cd-adapco.com
Jiyuan Tu, Guan Heng Yeoh, and Chaoqun Liu, Computational Fluid Dynamics: A Practical Approach, 2008, Butterworth-Heinemann, ISBN 978-0-7506-8563-4.
Policies
The midterm exam will last one class period. The final exam will be comprehensive. Both exams are mandatory. Discuss any potential conflicts well before the exam dates. There will be no make-up exams.
Students are expected to turn in laboratory assignment and homework problems that are substantially the result of their own work. Study groups, discussion of assignments among students, collective brainstorming for solutions, and sharing of advice is encouraged. Copying of assignments, computer files, graphs, or other means of duplicating material that is turned in for grading is expressly forbidden. Cheating on exams will result in a zero grade for the exam.
If you have a disability and are in need of academic accommodations, please notify me (G. Recktenwald) immediately to arrange needed supports. If you need information about disabilities, please contact the Disability Resource Center on campus at 503-725-4150.
Cumulative grades are based on the following weights:
35% Homework 20% Midterm Exam 25% Independent Work (Project or Portfolio) 20% Final Exam