MMU679 - MULTIPHASE FLOWS

Course Name Code Semester Theory
(hours/week)		 Application
(hours/week)		 Credit ECTS
MULTIPHASE FLOWS MMU679 Any Semester/Year 3 0 3 8
PrequisitesMMÜ 507 or equivalent
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Other: assignments.  
Instructor (s)Dr. Murat Köksal 
Course objectiveto provide a fundamental understanding of dynamics of dispersed multiphase flows. 
Learning outcomes
  1. At the end of the course, the students:
  2. acquire the necessary analysis tools and an adequate theoretical background so that he/she may critically evaluate relevant literature and analyze original problems,
  3. are provided with sufficient exposure to numerical approaches for modeling multiphase flow systems
Course ContentProperties of dispersed multiphase flows. Size distribution. Particle-fluid interaction. Particle-particle interaction. Continuous phase averaged equations. Turbulence in multiphase flows. Turbulence modulation. Droplet-particle cloud equations. Numerical approaches.  
ReferencesCrowe, C., Sommerfeld, M., Tsuji, Y., ?Multiphase Flows with Droplets and Particles?, CRC Press, 1998.
/ Ishii, M., Hibiki, T., ?Thermo-Dynamics of Two-Phase Flow?, Springer, 2006.
/ Fan, L.S., Zhu, C., ?Principles of Gas-Solid Flows?, Cambridge University Press, 1998.
/ Gidaspow, D., ?Multiphase Flow and Fluidization?, Academic Press, 1994.
/ Roco, M.C., ?Particulate Two-Phase Flow?, Butterworth-Heinemann, 1993.
/ Kolev, N.I., ?Multiphase Flow Dynamics : Fundamentals?, Springer Verlag, 2002.
 

Course outline weekly

WeeksTopics
Week 1Introduction, industrial multiphase flow systems.
Week 2Properties of dispersed multiphase flows: Density and volume fraction. Particle or droplet spacing. Response times. Stokes number. Phase coupling.
Week 3Size distribution: Discrete size distributions, continuous size distributions, statistical parameters.
Week 4Particle-fluid interaction: Single-particle equations, mass coupling.
Week 5Particle-fluid interaction: Linear momentum coupling, energy coupling.
Week 6Particle-particle interaction, particle-wall interaction.
Week 7Continuous phase equations: Averaging procedures, volume averaging.
Week 8Continuous phase equations: Volume-averaged conservation equations.
Week 9Turbulence: Review of turbulence in single-phase flow. turbulence modulation by particles, review of modulation models.
Week 10Turbulence: Volume-averaged turbulence models. Application to experimental results.
Week 11Droplet-particle cloud equations: Discrete element method, discrete parcel method.
Week 12Droplet-particle cloud equations: Two-fluid model, PDF models.
Week 13Numerical modeling: Complete numerical simulation. DNS models. LES models.
Week 14Numerical modeling: VANS models.
Week 15
Week 16Final exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments830
Presentation00
Project00
Seminar00
Midterms130
Final exam140
Total100
Percentage of semester activities contributing grade succes960
Percentage of final exam contributing grade succes140
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)10550
Presentation / Seminar Preparation000
Project000
Homework assignment815120
Midterms (Study duration)11010
Final Exam (Study duration) 12525
Total Workload3458247

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Has the theoretical and practical knowledge to improve and deepen the information in the different fields of the mechanical eng ineering at the level of expertize based on the undergraduate engineering outcomes.    X
2. Realizes the interaction between the interdiciplines in which the mechanical engineering applications take place.     
3. Uses the theoretical and practical knowledge at the levels of expertize in which he/she gains from his/her field in solving engineering problems.    X
4. Has the ability to be able to interpret and develop new information via combining his/her knowledge in which he/she becomes expert with the knowledge that comes from different diciplines.     
5. Has the abilitiy to be able to solve the problems in engineering applications using research methods.     
6. Be able to perform an advanced level work in his/her field independently.    X
7. Takes the responsibility and develops new strategical approaches for solving encountered and unforeseen complicated problems in engineering applications      
8. Be able to lead when the problems encountered are in the fields of the mechanical engineering in which he/she specialized      
9. Evaluates the information and skills which he/she gains at the level of expertize in the specifics of mechanical engineering and adjusts his/her learnings as and when needed.   X 
10. Systematically transfers the current progress in engineering field and his/her own studies to the groups in his/her field and to the groups out of his/her fields in written, oral and visual presentations supported by quantitative and qualitative data .      
11. Establishes oral and written communication skills by using one foreign language at least at the level of B1 European Language Portfolia.    X
12. Uses the information and communication technologies at the advanced level with the computer softwares as required by the area of specialization and work.     X
13. Develops strategy, policy and application plans to the problems at which engineering solutions are needed and evaluates the results within the quality processes framework.     
14. Uses the information which he/she absorbs from his/her field, the problem solving and practical skills in interdiciplinary studies.X    

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest