Metal Cutting (ME412) Course Detail

Course Name	Course Code	Season	Lecture Hours	Application Hours	Lab Hours	Credit	ECTS
Metal Cutting	ME412	Area Elective	3	1	0	3	5

Pre-requisite Course(s)
ME210

Course Language	English
Course Type	Elective Courses
Course Level	Bachelor’s Degree (First Cycle)
Mode of Delivery	Face To Face
Learning and Teaching Strategies	Lecture, Demonstration, Discussion, Question and Answer, Drill and Practice.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives	In this course, the student learns the theory of machining operations and becomes able to apply it; Having sufficient knowledge about cutting tools, cutting fluids and process conditions and how they affect the performance of machining operations; It is aimed to be able to optimize machining operations for the selected criteria and to gain basic knowledge about computer-aided manufacturing.
Course Learning Outcomes	The students who succeeded in this course; Students who can successfully complete this course; 1. Will be able to learn machining terminology and machining theory and how to apply it. 2. Gain the ability to calculate the temperatures and heat generation in chip formation areas and the required machine power for machining. 3. Will have fundamental knowledge about cutting tools, cutting fluids and cutting parameters and learn how they affect metal removal performance. 4. Will acquire the ability to determine optimization data for machining operations, create an optimization model and find the best cutting conditions. 5. Will have basic knowledge about computer aided manufacturing.
Course Content	Machine tools and metal cutting operations, metal cutting mechanics, cutting temperatures, cutting tools: materials and geometry, tool wear and tool life, cutting fluids, economics of metal cutting operations, introduction to computer-aided manufacturing.

Weekly Subjects and Releated Preparation Studies

Week	Subjects	Preparation
1	1 Machine Tools and Machining Operations Dersin Moodle sayfasındaki ders notları 2 Machine Tools and Machining Operations Dersin Moodle sayfasındaki ders notları 3 Mechanics of Metal Cutting Dersin Moodle sayfasındaki ders notları 4 Mechanics of Metal Cutting Dersin Moodle sayfasındaki ders notları 5 Mechanics of Metal Cutting Dersin Moodle sayfasındaki ders notları 6 Temperatures in Metal Cutting Dersin Moodle sayfasındaki ders notları 7 Midterm-I 8 Cutting Tools: Material and Geometry Dersin Moodle sayfasındaki ders notları 9 Cutting Tools: Material and Geometry Dersin Moodle sayfasındaki ders notları 10 Tool Wear and Tool Life Dersin Moodle sayfasındaki ders notları 11 Economics of Machining Dersin Moodle sayfasındaki ders notları 12 Midterm-II Dersin Moodle sayfasındaki ders notları 13 Cutting Fluids Dersin Moodle sayfasındaki ders notları 14 Chip Control Dersin Moodle sayfasındaki ders notları 15 Chip Control Dersin Moodle sayfasındaki ders notları 16 Final Dersin Moodle sayfasındaki ders notları

Sources

Evaluation System

Requirements	Number	Percentage of Grade
Attendance/Participation	15	10
Laboratory	-	-
Application	-	-
Field Work	-	-
Special Course Internship	-	-
Quizzes/Studio Critics	-	-
Homework Assignments	-	-
Presentation	-	-
Project	-	-
Report	1	25
Seminar	-	-
Midterms Exams/Midterms Jury	2	20
Final Exam/Final Jury	1	25
Toplam	19	80

Percentage of Semester Work
Percentage of Final Work	100
Total	100

Course Category

Core Courses	X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

#	Program Qualifications / Competencies	Level of Contribution
#	Program Qualifications / Competencies	1	2	3	4	5
1	Adequate knowledge of mathematics, physical sciences and the subjects specific to engineering disciplines; the ability to apply theoretical and practical knowledge of these areas in the solution of complex engineering problems.				X
2	The ability to define, formulate, and solve complex engineering problems; the ability to select and apply proper analysis and modeling methods for this purpose.				X
3	The ability to design a complex system, process, device or product under realistic constraints and conditions in such a way as to meet the specific requirements; the ability to apply modern design methods for this purpose.					X
4	The ability to select, and use modern techniques and tools needed to analyze and solve complex problems encountered in engineering practices; the ability to use information technologies effectively.				X
5	The ability to design experiments, conduct experiments, gather data, and analyze and interpret results for investigating complex engineering problems or research areas specific to engineering disciplines.				X
6	The ability to work efficiently in inter-, intra-, and multi-disciplinary teams; the ability to work individually.			X
7	Effective oral and written communication skills; The knowledge of, at least, one foreign language; the ability to write a report properly, understand previously written reports, prepare design and manufacturing reports, deliver influential presentations, give unequivocal instructions, and carry out the instructions properly.				X
8	Recognition of the need for lifelong learning; the ability to access information, follow developments in science and technology, and adapt and excel oneself continuously.					X
9	Acting in conformity with the ethical principles; professional and ethical responsibility and knowledge of the standards employed in engineering applications.			X
10	Knowledge of business practices such as project management, risk management, and change management; awareness of entrepreneurship and innovation; knowledge of sustainable development.			X
11	Knowledge of the global and social effects of engineering practices on health, environment, and safety issues, and knowledge of the contemporary issues in engineering areas; awareness of the possible legal consequences of engineering practices.			X
12	Ability to work in the fields of both thermal and mechanical systems including the design and production steps of these systems.			X

ECTS/Workload Table

Activities	Number	Duration (Hours)	Total Workload
Course Hours (Including Exam Week: 16 x Total Hours)	16	4	64
Laboratory	1	8	8
Application
Special Course Internship
Field Work
Study Hours Out of Class	16	2	32
Presentation/Seminar Prepration
Project
Report	1	4	4
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury	2	4	8
Prepration of Final Exams/Final Jury	1	9	9
Total Workload			125