MDN710 - MODELLING and SIMUL. of COAL WASH. CIR. and EQUIP.
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| MODELLING and SIMUL. of COAL WASH. CIR. and EQUIP. | MDN710 | Any Semester/Year | 3 | 0 | 3 | 10 |
| Prequisites | ||||||
| Course language | Turkish | |||||
| Course type | Elective | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Discussion Drill and Practice Problem Solving | |||||
| Instructor (s) | E. Caner ORHAN | |||||
| Course objective | Teaching equipment and process model used in design and optimization of coal washing circuits, and test and analysis methods. | |||||
| Learning outcomes |
| |||||
| Course Content | Investigation of coal washing operations, test and analysis methods, studying separation mechanisms, learning efficient and up-to-date process and equipment models, the simulation of various coal washing circuits using simulation softwares. | |||||
| References | - Arnold, B.J., Klima, M.S., Bethell, P.J., 2007, Designing the Coal Preparation Plant of the Future, Society for Mining Metallurgy & Exploration, 1st edition. - Sanders, J., 2007, The Principles of Coal Preparation. Australian Coal Preparation Society, 4th Edition, Australia. - King, R.P., 2001, Modelling and Simulation of Mineral Processing Systems, Butterworth-Heinemann, Boston. - Napier-Munn, T.J., Morrell, S., Morrison, R.D.: Mineral Comminution Circuits: Their Operation and Optimization. JKMRC, Brisbane, Australia, 1996. - Napier-Munn, T.J., 1991, Modelling and simulating dense-medium separation processes?a progress report. Min.Eng., 4, pp. 329-346. | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | The Structure and Characteristics of Coal |
| Week 2 | Heavy Liquid tests |
| Week 3 | Washability Curves |
| Week 4 | Gravity Concentration Equipment |
| Week 5 | Dry Beneficiation Equipment |
| Week 6 | Heavy Medium Separation Equipment |
| Week 7 | Auxiliary Equipment |
| Week 8 | Performance Prediction in Coal Preparation Circuits |
| Week 9 | Midterm |
| Week 10 | The Modelling of Coal Washing Equipment |
| Week 11 | The Modelling of Coal Washing Equipment (continued) |
| Week 12 | The Design of Coal Washing Circuits |
| Week 13 | Various simulation examples |
| Week 14 | Various simulation examples (continued) |
| Week 15 | Preparation for 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 | 2 | 25 |
| Presentation | 0 | 0 |
| Project | 0 | 0 |
| Seminar | 0 | 0 |
| Midterms | 1 | 25 |
| Final exam | 1 | 50 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 3 | 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) | 12 | 10 | 120 |
| Presentation / Seminar Preparation | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Homework assignment | 2 | 30 | 60 |
| Midterms (Study duration) | 1 | 35 | 35 |
| Final Exam (Study duration) | 1 | 45 | 45 |
| Total Workload | 30 | 123 | 302 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition level* | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 1. An ability to design, solve and improve the problems related to mining engineering by using extensively the basic and engineering sciences. | X | ||||
| 2. An ability to develop a new view, scientific method, design or application which innovate in the field of mining engineering or an ability to apply a known view, scientific method or design to the field of mining engineering. | X | ||||
| 3. An ability to design, apply, conclude and supervise an original research process related to mining engineering. | X | ||||
| 4. An ability to reach new knowledge in the field of mining engineering and to assess them systematically. | X | ||||
| 5. An ability to publish the outcomes of the academic studies related to the field of mining engineering in reputable academic environments. | X | ||||
| 6. An ability to assess scientific, technological, social and cultural developments and to transfer them to public by considering scientific objectivity and ethical responsibility. | X | ||||
| 7. An ability to assess, synthesis and analysis critically the views and developments in the field of mining engineering. | X | ||||
| 8. An ability to communicate verbally and in written form with the colleagues in the field of mining engineering and in wider scientific and social environments and to defend her/his own views. | X | ||||
| 9. An ability to make leadership in environments in which original and interdisciplinary problems are solved. | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest