COURSE UNIT TITLE

: ANALYSIS AND OPTIMIZATION OF MANUFACTURING METHODS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
MEE 5116 ANALYSIS AND OPTIMIZATION OF MANUFACTURING METHODS ELECTIVE 3 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR ŞEFIKA KASMAN

Offered to

DESIGN AND PRODUCTION
Design and Production
DESIGN AND PRODUCTION

Course Objective

1. To be able to define the concept of experimental design, to explain the experimental error
2. To be able to learn the statistical analysis techniques for experimental data and to explain the differences between the techniques
3. To be able to build the model and make parameter estimation for manufacturing applications
4. To be able to determine the parameters for a manufacturing application related to the field of mechanical engineering, to design experiments, to perform the experiment and to be able to analyze and interpret with one of the techniques taught in the course

Learning Outcomes of the Course Unit

1   To determine the criteria for optimising manufacturing based on time, cost or profit
2   To design the experiments for manufacturing applications
3   To apply the numerical methods for manufacturing applications
4   To evaluate the numerical results of manufacturing processes
5   To improve the manufacturing process according to numerical results

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to experimental design, simple comparative experiments
2 Single-factor experiments, Analysis of variance
3 Introduction to Factorial Designs, the 2k Factorial Design
4 The 3k and mixed level factorial design, fractional factorial designs
5 Taguchi approach to parameter design
6 Grey relational anaylsis
7 Mid-therm exam
8 Fitting of regression models
9 Response surface methods and designs
10 Optimization applications in bulk deformation and sheet metal forming-Case studies
11 Optimization of traditional manufacturing methods- case studies (Casting, Machining operations, Arc welding)
12 Optimization of traditional manufacturing methods- case studies (Casting, Machining operations, Arc welding)
13 Optimization of advanced manufacturing methods-case studies (Wire EDM, water jet, laser cutting, plasma cutting)
14 Optimization of advanced manufacturing methods-case studies (Laser welding, friction welding, friction stir welding)
15 Final exam

Recomended or Required Reading

1. Design and Analysis of Experiments, D.C.Montogomery, John Wiley & Sons, 8th Edition,
2. Modeling and Optimization of Advanced Manufacturing Processes, S. Bhowmik, S. Jagadish, K. Gupta, Springer, 2019
3. Manufacturing Processes for Engineering Materials, Serope Kalpakjian and Steven R. Schmid, Prentice Hall,

Planned Learning Activities and Teaching Methods

Lecture, discussion, question-answer, presentations

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.25 +ASG * 0.35 +FIN * 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.25 +ASG * 0.35 + RST * 0.40


Further Notes About Assessment Methods

None

Assessment Criteria

Learning outcomes will be measured by midterm and final exam questions. An experimental setup based on a manufacturing method in the field of mechanical engineering and a homework/presentation prepared by analysing this experiment will also be included in the evaluation criteria.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

e-mail: sefika.kasman@deu.edu.tr
Tel: 0-232 3019 217

Office Hours

It will be specified in the relevant semester schedule.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 14 6 84
Preparation for midterm exam 1 20 20
Preparation for final exam 1 20 20
Preparing assignments 1 30 30
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 200

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13
LO.1443
LO.255
LO.3555
LO.45
LO.544

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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