KMÜ620 - TRANSPORT PHENOMENA I
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| TRANSPORT PHENOMENA I | KMÜ620 | 2nd Semester | 3 | 0 | 3 | 8 |
| Prequisites | ||||||
| Course language | Turkish | |||||
| Course type | Must | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Question and Answer Problem Solving | |||||
| Instructor (s) | Selma Mutlu, PhD | |||||
| Course objective | Understand and apply flux laws in balances; Understand and apply interphase transport relationships; Reduce and solve appropriate macroscopic balances for conservation of momentum, energy and mass; Utilize information obtained from solutions of the balance equations to obtain engineering quantities of interest; Recognize and apply analogies among momentum, heat and mass transfer; Appreciate relevance of transport principles in diverse applications of chemical, biological, and materials science and engineering. | |||||
| Learning outcomes |
| |||||
| Course Content | Mass, momentum and energy transport mechanisms Calculation of transport coefficients Dimensional analysis Momentum, energy and mass interphase transport Microscopic and macroscopic balances Solution to problems in viscous flow, energy and mass transport Elementary applications | |||||
| References | Text book: R. Byron Bird, Warren E. Stewart, Edwin N. Lightfoot Transport Phenomena John Wiley & Sons, Inc., Second Edition, 2002. References: Ä°smail Tosun Modeling in Transport Phenomena, A Conceptual Approach Elsevier Science, 2nd Edition, 2007. | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | Vector and Tensor |
| Week 2 | The subject of Transport Phenomena |
| Week 3 | Transport mechanisms; Fundamental laws of momentum, energy and mass transfer by conduction: Newton's law, Fourier's law and Fick's law |
| Week 4 | Momentum, energy and mass balances at macroscopic and microscopic levels |
| Week 5 | Introduction to boundary layer theory |
| Week 6 | Midterm |
| Week 7 | Interphase Transport in Isothermal Systems |
| Week 8 | Interphase Transport in Nonisothermal Systems |
| Week 9 | Interphase Transport in Nonisothermal Mixtures |
| Week 10 | Macroscopic Balances for Isothermal Flow Systems |
| Week 11 | Macroscopic Balances for Nonisothermal Systems |
| Week 12 | Project presentation |
| Week 13 | Equations of Change for Multicomponent Systems |
| Week 14 | Macroscopic balances for Multicomponent Systems |
| Week 15 | Preparation to final exam |
| Week 16 | Final exam |
Assesment methods
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 0 | 0 |
| Laboratory | 0 | 0 |
| Application | 0 | 0 |
| Field activities | 0 | 0 |
| Specific practical training | 0 | 0 |
| Assignments | 6 | 10 |
| Presentation | 0 | 0 |
| Project | 1 | 10 |
| Seminar | 0 | 0 |
| Midterms | 1 | 30 |
| Final exam | 1 | 50 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 8 | 50 |
| Percentage of final exam contributing grade succes | 1 | 50 |
| Total | 100 | |
WORKLOAD AND ECTS CALCULATION
| Activities | Number | Duration (hour) | Total Work Load |
|---|---|---|---|
| Course Duration (x14) | 14 | 3 | 42 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Specific practical training | 0 | 0 | 0 |
| Field activities | 0 | 0 | 0 |
| Study Hours Out of Class (Preliminary work, reinforcement, ect) | 14 | 2 | 28 |
| Presentation / Seminar Preparation | 0 | 0 | 0 |
| Project | 1 | 30 | 30 |
| Homework assignment | 6 | 6 | 36 |
| Midterms (Study duration) | 1 | 48 | 48 |
| Final Exam (Study duration) | 1 | 56 | 56 |
| Total Workload | 37 | 145 | 240 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition level* | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 1. Evaluating, interpreting, and applying knowledge, as well as the ability gaining access to it, through scientific research utilizing their background on mathematics, science and engineering | X | ||||
| 2. Completion of knowledge using limited data, applying and integrating it with the knowledge out of various disciplines, with the help of scientific methods | X | ||||
| 3. Being aware of, as well as researching and learning, the novel and emerging applications of their profession | X | ||||
| 4. Identifying, developing and implementing innovative methods for the solution of problems related to Chemical Engineering | X | ||||
| 5. Designing and implementing analytical-models and experiment based research through the development of novel and/or unique ideas, as well as interpreting and solving complex issues encountered during this process | X | ||||
| 8. Presenting the process and results of studies in written or verbal format, with a systematic and concise manner, in the national and international environments, inside or outside of the chemical engineering field | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest