MDN625 - PARTICLE CHARACTERIZATION METHODS

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
PARTICLE CHARACTERIZATION METHODS MDN625 Any Semester/Year 3 0 3 7
Prequisites
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Question and Answer
 
Instructor (s)Dr. Namık A. AydoÄŸan 
Course objectiveThe course aims to describe the particle, give information about the methods for measurement of particle shape, size distribution and surface, and define the influences of these properties on concentration methods.  
Learning outcomes
  1. To learn the particle properties,
  2. To learn the fundamentals of size reduction,
  3. To learn the particle size measurement methods,
  4. To calculate size distribution and make graphical representation,
  5. To implement particle surface measurement methods
Course ContentParticle description and its properties. Shapes of the particles, shape functions and particle size distributions. Measurement of particle size distribution. Size distribution functions. Methods for measurement of particle surface area. 
References? Coulson, J.M., Chemical Engineering, Vol. 2, 4th ed., Pergamon Press.
? Holdich, R.G., Fundamentals of Particle Technology, Midland Information Technology and Publishing, 2002.
? Allen, T., ?Particle Size Measurement?, vol I,II, 5th ed. Chapman and Hall, London, 1997.
? Barth, H.G. (ed) ?Modern Methods of Particle Size Analysis? John Wiley & Sons, N.Y., 1984.
? Kelly, E.G., Spottiswood, D.G., "Introduction to Mineral Processing", Wiley InterSc., N. Y., 1982.
 

Course outline weekly

WeeksTopics
Week 1Description of particle and its properties (size, shape and distribution)
Week 2Basic fundamentals of size reduction and comminution theories
Week 3Comminution equipments
Week 4Particle characterization methods-sieving and size distribution curves
Week 5Particle characterization methods-coulter counter and sedimantation
Week 6Particle characterization methods-microscopy (optical, SEM, TEM and quantitative systems)
Week 7Particle characterization methods-laser diffraction
Week 8Midterm exam
Week 9Particle surface area and permeametry measurement methods ((Blaine, BET, etc.)
Week 10Importance of measuring particle size in mineral processing plants and the used classifiers (Screens, hydrocyclones, counter-flow classifiers, cross-flow classifiers
Week 11Application of particle characterization methods 1
Week 12Application of particle characterization methods 2
Week 13Application of particle characterization methods 3
Week 14Application of particle surface area measurement methods
Week 15Preparation for final exam
Week 16Final exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments130
Presentation00
Project00
Seminar00
Midterms130
Final exam140
Total100
Percentage of semester activities contributing grade succes260
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
Application4312
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)138104
Presentation / Seminar Preparation000
Project000
Homework assignment13030
Midterms (Study duration)11010
Final Exam (Study duration) 11515
Total Workload3469213

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
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1. An ability to develop and use knowledge gained in undergraduate level for mining engineering in an advanced level.    X
2. An ability to have knowledge about up to date techniques and new developments in the field of mining engineering and learn them if necessary.    X
3. An ability to complete and apply knowledge from limited and incomplete data by using scientific methods.   X 
4. An ability to determine causes of the problems and their solution methods aroused in the applications of mining engineering by using research techniques.    X
5. An ability to use advanced knowledge and skills gained in the field of mining engineering in the interdisciplinary works, to integrate them with knowledge from other disciplines, to interpret and to construct new knowledge. X   
6. An ability to work in multidisciplinary teams, and to develop the solutions for complex and unpredicted problems. X   
7. An ability to evaluate expert knowledge and skills with a critical approach.   X 
8. An ability to assess critically advanced level knowledge and skill gained in the field of mining engineering.  X  
9. Presenting studies to different groups in writing or orally, supporting them with qualitative and quantitative data.     X
10. Uses computer software and information-communication technologies required by the field.    X
11. Can audit all kinds of work in the field by taking into account social, scientific, environmental, cultural and ethical values.  X   

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