ECTS - Material Selection in Design

Material Selection in Design (MATE410) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Material Selection in Design MATE410 2 2 0 3 9
Pre-requisite Course(s)
MATE 301, MATE 415, IE 305, consent of the department
Course Language English
Course Type N/A
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery
Learning and Teaching Strategies .
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives This course aims at a broad realistic understanding of design process by drawing attention of the students to a diverse set of topics such as decision making, optimization, engineering economy, planning, applied statistics, reliability, quality engineering, market identification, conceptual design. At the end of this course the students are expected to gain knowledge to assess and evaluate materials on the basis of material properties and ability to use this knowledge for design purposes
Course Learning Outcomes The students who succeeded in this course;
  • Ability to recognize and develop lists of independent and dependent parameters for a mechanical design from which to develop quantitative measures of performance.
  • Develop optimization equations for selection of materials for defined design projects.
  • Ability to use material property plots to identify the best performing materials for a given application.
  • Use material property databases for identification of candidate materials.
  • A sound understanding of Quality, Safety, Energy and Economical considerations in designing with materials.
Course Content Design process, steps of design, design tools, designing against failure, materials and process selection in design; case studies in materials and process selection; quality, safety and economical considerations; quality function deployment; sequential engineering and concurrent engineering design concepts.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Overview of Design Process – Sequential vs. Concurrent Engineering Concepts
2 Design and Optimization Methods
3 Lean Manufacturing and Quality Issues in Materials Industry
4 Material Property Charts & Performance Indices
5 Materials Selection Optimization without Shape
6 Materials Selection Optimization with Shape
7 Design with Conflicting Objectives, Energy Content of Materials
8 Materials Selection Example
9 Overview of Manufacturing Processes and Process Selection
10 Process Selection Example
11 Case Study I in Materials Selection and Design
12 Case Study II in Materials Selection and Design
13 Case Study III in Materials Selection and Design
14 Case Study IV in Materials Selection and Design
15 Overall Review
16 Final Exam

Sources

Course Book 1. Materials Selection in Mechanical Design, 3E, M.F. ASHBY, Elsevier Butterworth-Heinemann, 2005.
2. Engineering Design- A Materials and Processing Approach, 4E, G.E. DIETER, L. SCHMIDT, McGraw-Hill, 2008.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 5 15
Presentation - -
Project 1 25
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 25
Final Exam/Final Jury - -
Toplam 7 65
Percentage of Semester Work 65
Percentage of Final Work 35
Total 100

Course Category

Core Courses
Major Area Courses X
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
1 2 3 4 5
1 Adequate knowledge in mathematics, science and subjects specific to the Materials Engineering; the ability to apply theoretical and practical knowledge of these areas to solve complex engineering problems and to model and solve of materials systems X
2 Understanding of science and engineering principles related to the structures, properties, processing and performance of Materials systems X
3 Ability to identify, define, formulate and solve complex engineering problems; selecting and applying proper analysis and modeling techniques for this purpose X
4 Ability to design and choose proper materials for a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design and materials selection methods for this purpose X
5 Ability to develop, select and utilize modern techniques and tools essential for the analysis and solution of complex problems in Materails Engineering applications; the ability to utilize information technologies effectively X
6 Ability to design and conduct experiments, collect data, analyse and interpret results using statistical and computational methods for complex engineering problems or research topics specific to Materials Engineering X
7 Ability to work effectively in inter/inner disciplinary teams; ability to work individually X
8 Effective oral and written communication skills in Turkish; knowlegde of at least one foreign language; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions X
9 Recognition of the need for lifelong learning; the ability to access information; follow recent developments in science and technology with continuous self-development X
10 Ability to behave according to ethical principles, awareness of professional and ethical responsibility; knowledge of standards used in engineering applications X
11 Knowledge on business practices such as project management, risk management and change management; awareness in entrepreneurship and innovativeness; knowledge of sustainable development X
12 Knowledge of the effects of Materials Engineering applications on the universal and social dimensions of health, environment and safety, knowledge of modern age problems reflected on engineering; awareness of legal consequences of engineering solutions X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours)
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class
Presentation/Seminar Prepration
Project
Report
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury
Prepration of Final Exams/Final Jury
Total Workload 0