Course Name Code Semester T+U Hours Credit ECTS
Computer Aided Casting Design Techniques MTM 553 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level yuksek_lisans
Course Type Optional
Course Coordinator Doç.Dr. RAMAZAN KAYIKCI
Course Lecturers
Course Assistants
Course Category
Course Objective To introduce casting techniques as a metal shaping techcniques. To give an adaquate knowledge of mold design using computer techniques.
Course Content
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Student knows general priciples of metal casting Lecture, Question-Answer, Discussion, Case Study, Testing, Oral Exam,
2 Student knows implementation of general casting principles with various molding techniques. Lecture, Question-Answer, Discussion, Oral Exam, Homework, Testing,
3 Student knows mold designing using CAD techniques Lecture, Question-Answer, Drilland Practice, Demonstration, Project / Design, Performance Task,
4 Student can employe a casting simulation software in analysing mold filling and solidification of castings Question-Answer, Discussion, Drilland Practice, Demonstration, Simulation, Problem Solving, Project Based Learning, Lecture, Performance Task,
5 Student can perform post simulation analysis Discussion, Drilland Practice, Motivations to Show, Self Study, Problem Solving, Project Based Learning, Performance Task,
6 student can design filling and feed aid sytems to produce sound castings in any molding techniques. Drilland Practice, Simulation, Self Study, Problem Solving, Project Based Learning, Project / Design,
Week Course Topics Preliminary Preparation
1 General principles of metal casting (sollidification, cooling, heat transfer phenomena)
2 Principles of fluid flow and mold filling (design and calculation of filling system)
3 Examples of filling system design and calculations
4 Determination of solidification time (Module calculations)
5 Shrinkage and feding in castings (Riser calculations)
6 Examples of riser calculations
7 Builging of a casting model in CAD environment
8 Introduction to SolidCast simülation software
9 Introduction to SolidCast simülation software
10 Transfering casting model fropm CAD environment to simulation environment
11 Examples of simulation in sand casting
12 Examples of simulation in permanent mold casting
13 Project work (casting simulation with various parts)
14 Project work (casting simulation with various parts)
Resources
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 ability to access wide and deep information with scientific researches in the field of Engineering, evaluate, interpret and implement the knowledge gained in his/her field of study X
1 ability to access wide and deep information with scientific researches in the field of Engineering, evaluate, interpret and implement the knowledge gained in his/her field of study X
1 ability to access wide and deep information with scientific researches in the field of Engineering, evaluate, interpret and implement the knowledge gained in his/her field of study
1 ability to access wide and deep information with scientific researches in the field of Engineering, evaluate, interpret and implement the knowledge gained in his/her field of study X
2 ability to complete and implement “limited or incomplete data” by using the scientific methods. X
2 ability to complete and implement “limited or incomplete data” by using the scientific methods. X
2 ability to complete and implement “limited or incomplete data” by using the scientific methods. X
2 ability to complete and implement “limited or incomplete data” by using the scientific methods.
3 ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them
3 ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them X
3 ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them X
3 ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them X
4 ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process X
4 ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process X
4 ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process X
4 ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process
5 gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering
5 gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering X
5 gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering X
5 gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering X
6 ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply process X
6 ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply process
6 ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply process X
6 ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply process X
7 gain high level ability to define the required information and data
7 gain high level ability to define the required information and data X
7 gain high level ability to define the required information and data X
7 gain high level ability to define the required information and data X
8 ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations X
8 ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations X
8 ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations X
8 ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations
9 systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
9 systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
9 systematic and clear verbal or written transfer of the process and results of studies at national and international environments
9 systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
10 aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, and announcement X
10 aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, and announcement X
10 aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, and announcement X
10 aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, and announcement
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 40
1. Kısa Sınav 10
1. Ödev 10
1. Proje / Tasarım 20
1. Performans Görevi (Laboratuvar) 20
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Hours for off-the-classroom study (Pre-study, practice) 16 2 32
Mid-terms 1 15 15
Quiz 1 5 5
Assignment 1 10 10
Project / Design 1 15 15
Performance Task (Laboratory) 1 10 10
Final examination 1 25 25
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Total Workload 160
Total Workload / 25 (Hours) 6.4
dersAKTSKredisi 6