Dokuz Eylül University Information Package / Courses Catalog

Description of Individual Course Units

Course Unit Code	Course Unit Title	Type Of Course	D	U	L	ECTS
MDN 3304	MODELING AND SIMULATION OF AGGREGATE PRODUCTION PLANTS	ELECTIVE	2	0	0	3

Offered By

Mining Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR SEZAI ŞEN

Offered to

Mining Engineering
Mining Engineering (Evening)

Course Objective

The objectives of this course are recognition of process parameters in an aggregate production plant as computer assisted, recognition of machinery and equipment used in the plant, pointing out the importance of modeling and simulation prior to plant establishments, bringing out logical solutions to engineering problems, providing suggestions on plant updates and aiming to increase product variety with maximum capacity and efficiency.

Learning Outcomes of the Course Unit

1	Should identify the operating parameters of aggregate production plants
2	Should recognize the importance of modeling and simulation for aggregate plants
3	Should aim maximum capacity with maximum efficiency in plant operations
4	Should suggest new and economic updates in aggregate processing
5	Should provide logical solutions and alternative scenarios to engineering problems

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week	Subject	Description
1	Definition of aggregate and areas of utilization
2	Aggregate processing plant flowsheet examples
3	Definition of modelling and simulation
4	Interface and configuration of the package program
5	Parameters affecting feeder, crusher and screen selection
6	Computer assisted feeder, crusher and screen selection
7	Parameters affecting washing and classification unit selection
8	Computer assisted washing and classification unit selection
9	Additional specialities of the software (material balance, dewatering)
10	Flowsheet assessment of an example aggregate processing plant
11	Computer assisted modelling and simulation of the example aggregate processing plant
12	Generating alternative flowsheet design scenarios, Homework submission
13	Simulation of alternative flowsheet design scenarios
14	Simulation of alternative flowsheet design scenarios

Recomended or Required Reading

Textbooks:
1. King, R.P.; Modeling and Simulation of Mineral Processing Systems, 2001.
2. Yersel, Ş.E.; Cevher Hazırlama Ve Zenginleştirme Tesislerinin Simülasyon Yöntemiyle Verimliliğinin Artırılması, Doktora Tez Danışmanı: Prof. Dr. Turan Batar, 2012.
3. www.aggflow.com
References:
1. Centeno, M.A. (1996). An introduction to simulation modelling, Department of industrial and Systems Engineering College of Engineering and Design, Florida International University, Miami, Florida, U.S.A.
2. Deliormanlı A.H., Marble processing plant design with the aid of the computer simulation, 2000, Doktora Tezi, Dokuz Eylül University.
3. Hartge, E. U., Pogodda, M., Reimers, C., Schwier, D., Gruhn, G. And Werther, J. (2006).Flowsheet Simulation of Solids Processes, Institute of Solids Process Engineering and Particle Technology, Technical University Hamburg-Harburg, Germany.
Materials: AggFlow Simulation Package Program

Planned Learning Activities and Teaching Methods

Oral Presentation and in class discussions

Assessment Methods

SORTING NUMBER	SHORT CODE	LONG CODE	FORMULA
1	MTE	MIDTERM EXAM
2	PRJ	PROJECT
3	FIN	FINAL EXAM
4	FCG	FINAL COURSE GRADE	MTE * 0.20 + PRJ * 0.40 + FIN * 0.40
5	RST	RESIT
6	FCGR	FINAL COURSE GRADE (RESIT)	MTE * 0.20 + PRJ * 0.40 + RST * 0.40

*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

LO 1 and 2: 1 Midterm
LO 2, 3, 4 and 5: 1 Homework
LO 3, 4 and 5: Final exam

Language of Instruction

Turkish

Course Policies and Rules

Contact Details for the Lecturer(s)

baran.tufan@deu.edu.tr, tel: 0 232 301 75 42

Office Hours

Hours will be determined later depending on course and assignment situation of the instructor

Work Placement(s)

None

Workload Calculation

Activities	Number	Time (hours)	Total Work Load (hours)
Lectures	14	2	28
Preparations before/after weekly lectures	14	1	14
Preparation for midterm exam	1	6	6
Preparation for final exam	1	9	9
Project Preparation	1	14	14
Final	1	3	3
Midterm	1	2	2
Project Final Presentation	1	2	2
TOTAL WORKLOAD (hours)			78

Contribution of Learning Outcomes to Programme Outcomes

PO/LO	PO.1	PO.2	PO.3	PO.4	PO.5	PO.6	PO.7	PO.8	PO.9	PO.10	PO.11	PO.12	PO.13	PO.14	PO.15
LO.1	2	3	3	1	1	1	1	2	3	4	1	5	4	3	1
LO.2	2	3	4	2	1	2	1	2	4	3	3	1	1	1	1
LO.3	5	5	5	1	5	1	2	2	4	5	5	1	2	1	1
LO.4	5	5	5	1	4	1	2	1	5	4	5	3	2	1	1
LO.5	5	5	5	2	5	1	3	3	5	3	5	4	2	2	3

COURSE UNIT TITLE

DEGREE PROGRAMMES

Description of Individual Course Units

Offered By

Level of Course Unit

Course Coordinator

Offered to

Course Objective

Learning Outcomes of the Course Unit

Mode of Delivery

Prerequisites and Co-requisites

Recomended Optional Programme Components

Course Contents

Recomended or Required Reading

Planned Learning Activities and Teaching Methods

Assessment Methods

Further Notes About Assessment Methods

Assessment Criteria

Language of Instruction

Course Policies and Rules

Contact Details for the Lecturer(s)

Office Hours

Work Placement(s)

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes

CONTACT INFORMATION