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Syllabus ( ME 525 )

   Basic information
Course title: Optimization Of Engineering Desing
Course code: ME 525
Lecturer: Prof. Dr. Hasan Kurtaran
ECTS credits: 7.5
GTU credits: 3 (3+0+0)
Year, Semester: 1/2, Fall and Spring
Level of course: Second Cycle (Master's)
Type of course: Area Elective
Language of instruction: Turkish
Mode of delivery: Face to face
Pre- and co-requisites: ME520 Fundamentals of Finite Element Analysis, ME506 Optimization Methods in Engineering
Professional practice: No
Purpose of the course: To teach numerical optimization methods; how to formulate design problems as optimization problems; solution of structural optimization problems by integrating finite element method with numerical optimization methods
   Learning outcomes Up

Upon successful completion of this course, students will be able to:

  1. formulate and solve optimization problems.

    Contribution to Program Outcomes

    1. Formulate and solve advanced engineering problems,
    2. Apply modern techniques, skills and equipments to advanced engineering practice
    3. Apply knowledge in a specialized area of mechanical engineering discipline and use variety of CAD/CAM/CAE tools.

    Method of assessment

    1. Written exam
    2. Homework assignment
  2. list computer-aided design methods

    Contribution to Program Outcomes

    1. Define and manipulate advanced concepts of Mechanical Engineering
    2. Formulate and solve advanced engineering problems,
    3. Apply modern techniques, skills and equipments to advanced engineering practice
    4. Apply knowledge in a specialized area of mechanical engineering discipline and use variety of CAD/CAM/CAE tools.

    Method of assessment

    1. Written exam
  3. select the most appropriate optimization method.

    Contribution to Program Outcomes

    1. Formulate and solve advanced engineering problems,
    2. Do modeling, simulation, and design of dynamical systems.
    3. Apply modern techniques, skills and equipments to advanced engineering practice
    4. Apply knowledge in a specialized area of mechanical engineering discipline and use variety of CAD/CAM/CAE tools.

    Method of assessment

    1. Written exam
    2. Homework assignment
   Contents Up
Week 1: Introduction to Optimum Design
Week 2: Introduction to Numerical Optimization Methods
Week 3: Unconstrained Optimization Methods
Week 4: Linear Optimization Methods
Week 5: Nonlinear Optimization Methods
Week 6: Optimization with MATLAB
Week 7: Introduction to Structural Optimization
Week 8: Midterm Exam
Week 9: Overview of Structural Analysis Methods
Week 10: Parametric Optimization
Week 11: Shape Optimization
Week 12: Topology Optimization
Week 13: Sensitivity Analysis
Week 14: Structural Optimization with ANSYS
Week 15*: General review
Week 16*: Final Exam
Textbooks and materials:
Recommended readings: 1- Introduction to Optimum Design, Arora J. S.
2- Elements of Structural Optimization, Haftka R.T., Gürdal Z.
3- Practical Optimization Methods, Bhatti M. A.
  * Between 15th and 16th weeks is there a free week for students to prepare for final exam.
Assessment Up
Method of assessment Week number Weight (%)
Mid-terms: 8 30
Other in-term studies: 0
Project: 0
Homework: 2,4,6,9,11,13,15 20
Quiz: 0
Final exam: 16 50
  Total weight:
(%)
   Workload Up
Activity Duration (Hours per week) Total number of weeks Total hours in term
Courses (Face-to-face teaching): 3 14
Own studies outside class: 4 14
Practice, Recitation: 0 0
Homework: 6 10
Term project: 0 0
Term project presentation: 0 0
Quiz: 0 0
Own study for mid-term exam: 12 1
Mid-term: 1 1
Personal studies for final exam: 12 1
Final exam: 2 1
    Total workload:
    Total ECTS credits:
*
  * ECTS credit is calculated by dividing total workload by 25.
(1 ECTS = 25 work hours)
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