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	Knowledge of mathematics, natural sciences, engineering fundamentals, computing, and topics specific to the relevant engineering discipline; the ability to use this knowledge in the solution of complex engineering problems.				X
2	The ability to identify, formulate, and analyze complex engineering problems using knowledge of basic sciences, mathematics, and engineering, and considering the UN Sustainable Development Goals relevant to the problem.				X
3	The ability to design creative solutions for complex engineering problems; the ability to design complex systems, processes, devices, or products to meet current and future requirements, considering realistic constraints and conditions.					X
4	The ability to select and use appropriate techniques, resources, and modern engineering and IT tools, including prediction and modeling, for the analysis and solution of complex engineering problems, with an awareness of their limitations.				X
5	The ability to use research methods for the investigation of complex engineering problems, including literature search, designing and conducting experiments, collecting data, and analyzing and interpreting results.				X
6	Knowledge of the effects of engineering practices on society, health and safety, the economy, sustainability, and the environment within the scope of the UN Sustainable Development Goals; awareness of the legal consequences of engineering solutions.			X
7	Acting in accordance with engineering professional principles, knowledge of ethical responsibility; awareness of acting impartially without discrimination on any grounds and being inclusive of diversity.				X
8	The ability to work effectively individually and in intra-disciplinary and multi-disciplinary teams (face-to-face, remote, or hybrid) as a team member or leader.					X
9	"The ability to communicate effectively orally and in writing on technical topics, considering the various differences of the target audience (such as education, language, profession).			X
10	Knowledge of practices in business life such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation.			X
11	The ability to engage in life-long learning, including independent and continuous learning, adapting to new and emerging technologies, and thinking inquisitively regarding technological changes.			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