0906.402 - Transport Phenomena

Instructor: Dr. Jim Newell, 332 Rowan Hall

MWF 2:00 - 3:15, 3rd Floor Conference Room

 

 

Text:               Transport Phenomena

R. B. Bird, W. E. Stewart, E. N. Lightfoot

John Wiley and Sons, New York

 

Office Hours:             M         8:30 - 9:30

                                    T          3:30 - 4:30

TH       2:00 - 3:00

 

 

These are times when students can be certain that I will be in my office.

However, students are welcome (and encouraged) to come or call at other times.

If I am in my office, I will make time for you.  At minimum, we will arrange a time to meet.

 

Objectives:     1. Develop an understanding of the conservation laws that govern mass,

    momentum, and heat transfer

 

2. Learn to derive and solve the ordinary and partial differential equations

    that result from the application of the conservation laws to specific systems.

 

3. Develop the ability to formulate and solve mathematical models for

    physical situations.

 

Grading:          3 Exams                       45%

Project                         15%

Homework                   10%

Final Exam                   30%

 

A grade of 93% guarantees an A, 83% guarantees a B and so on.  The actual cutoffs will likely dip below these scores depending on logical breaks.

 

Responsibilities: To succeed in this class, you should come to class prepared, ask questions on points that you do not understand, and attempt all homeworks.  I already have copies of the homework solutions, so I do not need others.  You will benefit far more by struggling through the problems yourself and handing in what you accomplish than by giving me a “file” copy of homework problems.  You will not have copies of my test questions. In this class, if you have not worked diligently on the homeworks, the tests will be extremely painful.

I will lecture on material (that covered in the book and some not), make myself available for questions both in and out of class, attempt to answer all serious questions, and administer fair but demanding exams.


Policies:         

 

1.      Regular attendance is expected.  You are responsible for all material whether you are in class or not.  Class begins promptly at 2:00 and will end at 3:15.  Should we run past 3:20 more than 2 times during the semester (excluding answering questions), the instructor will bring cookies for the entire class.

 

2.      Late work of any kind will not be graded.  A single comprehensive make-up exam will be given at the end of the semester for students who miss any exam.

 

3.      Each student will be assigned to a collaborative study group.  If every member of that group scores above 80 on an exam, each group member will receive four bonus points on the exam.

 

4.      Collaboration on homework is acceptable and encouraged, but all tests must be done independently.

 

5.      If you feel that a test problem has been graded improperly (except for mis-adding points), you must resubmit the problem within 24 hours along with a written appeal and explanation.  Upon receipt of this formal appeal, I will regrade the             problem.  This means that your score may go up or down.

 


Topics

 

1.      Mathematical Background

- Principles of Mathematical Modeling

- Vector Analysis

- Tensor Mathematics

- Green’s Theorem

 

2. Momentum Transfer

- Mechanism of Momentum Transport

- Velocity Distributions in Laminar Flow

- Equations of Change for Isothermal Systems

- Velocity Distributions with More than One Independent Variable

- Boundary Layer Theory

 

3. Heat Transfer

- Mechanism of Energy Transport

- Temperature Distributions in Solids and in Laminar Flow

- The Equations of Change for Non-Isothermal Systems

- Temperature Distributions with More than One Independent Variable

- Radiation Heat Transfer

 

4. Numerical Solutions of Partial Differential Equations

 

5. Mass Transfer

- Mechanism of Mass Transport

- Concentration Distributions in Solids and Laminar Flow

- The Equations of Change for Multicomponent Systems

- Concentration Distributions with More than One Independent Variable

 


 

 

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