ME 4474/5475

Introduction to Computational Fluid Dynamics and Heat Transfer

Fall 2000

Overview: This course will provide an introduction to computational fluid dynamics and heat transfer. At the end of the semester, the process for numerically solving the equations of fluid dynamics and heat transfer will have been covered. Although the emphasis of this course will be on the mathematics of numerically solving equations and the physics of the problems being considered, some computer programming is required.
Lecture Time & Location: MWF, 1:10-2:00 PM, EN 2070
Prerequisites: Permission of Instructor
Credit Hrs: 3
Textbook: None Assigned

Although no textbook is assigned, several texts will be put on reserve at the library. It is expected that these texts will be consulted for topics lightly covered or skipped during the lecture. Most of these textbooks are available through on-line bookstores should you feel the need to purchase one or the other. Your comments on the appropriateness for texts in this course in future offerings are appreciated. A list of those texts on reserve at the library will be provided.
Instructor: Dr. J. W. Naughton, Engineering 2035
Office Hours: By appointment. Help sessions will be held in place of classes on most Fridays to answer general and programming questions. Students are expected to attend these sessions first and items not covered in those sessions may be addressed by making an appointment. 
WWW Page: Materials for this class will be posted on the web at http://wwweng.uwyo.edu/classes . The materials posted on the web will include assignments, notices, class notes, and grades. Since the full class notes will be converted to electronic versions after the class had been presented, they will be posted a minimum of a week after the lecture has been presented. You are encouraged to make use of these notes to fill in areas you may have missed in lecture.
Grading:   Undergraduate Graduate
  6 Assignments 60% 40%
  1 Mid-Term 15% 15%
  1 Take-Home 25% 20%
  1 Final Project   25%
Assignments: Assignments will be due approximately two weeks after the assignment date. These due dates are firm, so plan ahead. The penalty is 10% for each day past the deadline (i.e. 3 days late and the highest score you could obtain would be 0.7 * 100% = 70%). Once the solutions are posted (typically 1 week after the homework has been handed in), no credit will be given.

Although collaboration between students is expected, the assignments are expected to be the work of each individual. Any sign of copied work will result in dividing the grade by the number of copies found (i.e. 3 people found to be submitting the same work would each get 1/3 of the grade). 

The student will have a selection of three programming languages in which to complete the assignments: MATLAB, FORTRAN, and C. Skeleton programs will be provided for all assignments to reduce the amount of programming required. However, a good knowledge of programming will be required (or developed) to complete this course. Accounts on the DEC Alpha (UNIX) machine will be made available for those persons interested.

The primary means of interpreting and submitting your results will be through visualization of the data. You may use any program to create these graphs, but they must be of high quality (i.e. all axes must be labeled, legends must be given, etc.) 

Details of the reports required for each assignment will be provided with the assignment. At least one of the reports will be given in a presentation format.
Reading Assignments: Recommended reading assignments will be provided in the course outline. Homework assignments and exams may contain material from both the lecture and reading material.
Exams: Two exams will be given in this course: nighttime mid-term and a take-home final. The take-home final is expected to be the work of each student and any questions should be directed to the instructor only. Any signs of collaboration on the exam will result in a zero on the exam for all parties involved.
Final Project: This final project is only required of graduate students. Each graduate student will meet with the instructor to develop a project that relates to both the course and the student’s research. Details for the report to be presented by the student will be provided when the project topic is agreed upon.
Attendance: Attendance in class is the responsibility of the student. If class is missed, you are responsible for obtaining the notes from another student or from the class notes posted on the web.