COURSE UNIT TITLE

: COMPUTER SUPPORT AND OPTıMıZATıON IN MACHıNE DESıGN

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
KID 6003 COMPUTER SUPPORT AND OPTıMıZATıON IN MACHıNE DESıGN ELECTIVE 1 0 0 3

Offered By

Musculoskeletal Tissue Engineering

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

PROFESSOR DOCTOR YUSUF ARMAN

Offered to

Musculoskeletal Tissue Engineering

Course Objective

Computer technology is evolving quickly. Accordingly, application fields such as Computer Aided Design (CAD), Computer Aided manufacturing (CAM), Computer Aided Education (CAE) are composed of and promising innovations on these issues arise every day. As well as Computer design and optimization of mechanical or structural elements, modeling of various physical phenomena, and the most efficient technologically, the Finite Element Method which is one of the useful computational techniques used in rendering is the aim of this course.

Learning Outcomes of the Course Unit

1   To have general information about beside design and optimization of structural elements with a machine or a computer, modeling of various physical phenomena
2   To have information about Finite Element Method which is one of the most efficient calculating techniques, used in rendering technologically useful
3   To have information about the division of finite elements of the object, shape (interpolation) function selection, the element stiffness matrix formation
4   To have information about the system stiffness matrix calculation, the calculation of the forces acting on the system, and the system equations to determine the boundary conditions

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 The basics information Input Stress and Balance Boundary Conditions Strain-Displacement Relations
2 Stress-Strain Relationship Effect of Temperature Potential Energy The principle of Saint Venart
3 One-Dimensional Problems Finite Element Modeling Coordinates and Shape Functions Potential Energy Approach
4 Unification of Global Stiffness Matrix and Load vector Matrix Properties of K Finite Element Equations, boundary conditions, Quadratic Shape Functions Effect of Temperature
5 Lattice Systems Plane Lattices
6 Three-dimensional Lattices
7 Two-Dimensional Problems (Fixed Figure exchangeable triangular elements) Finite Element Modeling
8 Calculation of Stress and Displacement Boundary Modeling and articles of the problem
9 Symmetric Rotating Elements Formulation rotational symmetric Finite Element Modeling
10 Problem Modeling and Boundary Conditions Calculation of Stress and Displacement
11 Two-dimensional isoperimetric elements and numerical integration Four-Node Element Quadrilateral Numerical Integration Higher-Order Elements
12 Three-Dimensional Problems in Stress Analysis Finite Element Formulation Accounts of Stress
13 Preparation of Finite Element Meshes
14 Hexahedral Elements and Higher-Order Elements Modeling of the problem
15 Final Week

Recomended or Required Reading

Chandrupatla, T.R. and Belegundu, A.D., Introduction to Finite Elements in Engineering, Prentice Hall, Englewood Cliffs, New Jersey, 2002

Planned Learning Activities and Teaching Methods

Computer-aided presentation, board, overhead projector, computer software and computer

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 * 0.40 +PRJ * 0.10 +FIN* 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 +PRJ * 0.10 +RST* 0.50


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

Further Notes About Assessment Methods

None

Assessment Criteria

Assessment will be done by exams. The grade for the course is 75 (2.5) for Doctoral Degree

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 10 5 50
Tutorials 5 5 25
TOTAL WORKLOAD (hours) 75

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7
LO.14
LO.25
LO.344
LO.4455