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Code IE 416
Term 201602
Title Additive Manufacturing
Faculty Faculty of Engineering and Natural Sciences
Subject Industrial Engineering(IE)
SU Credit 3
ECTS Credit 6.00 / 7.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Instructor(s) Bahattin Koc -bahattinkoc@sabanciuniv.edu,
Language of Instruction English
Level of Course Undergraduate
Type of Course Click here to view.
Prerequisites
(only for SU students)
ENS209
Mode of Delivery Formal lecture,Laboratory
Planned Learning Activities Interactive,Project based learning
Content

-Various additive manufacturing processes and their principles,
-Computer-aided design and path planning for additive manufacturing processes,
-Materials used in additive manufacturing processes and their properties,
-Determining and optimizing process parameters and conditions,
-Process-related limitations and constraints and applications of Additive Manufacturing,
-Several related hands-on projects related to additive manufacturing.

Objective

Learn the fundamentals of Additive Manufacturing processes, their materials, design, path planning and applications of various Additive Manufacturing processes.

Learning Outcome

Learn various Additive Manufacturing (AM) processes
Understand the fundamentals of AM processes
Analyze and optimize Computer-Aided Design (CAD) for AM
Develop and implement algorithms to generate path plans for AM
Decide on materials for AM
Identify capabilities, constrains and limitations of AM processes to decide on best process for a given application

Programme Outcomes
 
Common Outcomes For All Programs
1 Understand the world, their country, their society, as well as themselves and have awareness of ethical problems, social rights, values and responsibility to the self and to others. 1
2 Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 4
3 Think critically, follow innovations and developments in science and technology, demonstrate personal and organizational entrepreneurship and engage in life-long learning in various subjects. 3
4 Communicate effectively in Turkish and English by oral, written, graphical and technological means. 4
5 Take individual and team responsibility, function effectively and respectively as an individual and a member or a leader of a team; and have the skills to work effectively in multi-disciplinary teams. 4
Common Outcomes ForFaculty of Eng. & Natural Sci.
1 Possess sufficient knowledge of mathematics, science and program-specific engineering topics; use theoretical and applied knowledge of these areas in complex engineering problems. 4
2 Identify, define, formulate and solve complex engineering problems; choose and apply suitable analysis and modeling methods for this purpose. 4
3 Develop, choose and use modern techniques and tools that are needed for analysis and solution of complex problems faced in engineering applications; possess knowledge of standards used in engineering applications; use information technologies effectively. 4
4 Ability to design a complex system, process, instrument or a product under realistic constraints and conditions, with the goal of fulfilling specified needs; apply modern design techniques for this purpose. 4
5 Design and conduct experiments, collect data, analyze and interpret the results to investigate complex engineering problems or program-specific research areas. 2
6 Knowledge of business practices such as project management, risk management and change management; awareness on innovation; knowledge of sustainable development. 1
7 Knowledge of impact of engineering solutions in a global, economic, environmental, health and societal context; knowledge of contemporary issues; awareness on legal outcomes of engineering solutions; understanding of professional and ethical responsibility. 2
Industrial Engineering Program Outcomes Area Electives
1 Formulate and analyze problems in complex manufacturing and service systems by comprehending and applying the basic tools of industrial engineering such as modeling and optimization, stochastics, statistics. 4
2 Design and develop appropriate analytical solution strategies for problems in integrated production and service systems involving human capital, materials, information, equipment, and energy. 4
3 Implement solution strategies on a computer platform for decision-support purposes by employing effective computational and experimental tools. 3
1 Familiarity with concepts in statistics and optimization, knowledge in basic differential and integral calculus, linear algebra, differential equations, complex variables, multi-variable calculus, as well as physics and computer science, and ability to use this knowledge in modeling, design and analysis of complex dynamical systems containing hardware and software components.
2 Ability to work in design, implementation and integration of engineering applications, such as electronic, mechanical, electromechanical, control and computer systems that contain software and hardware components, including sensors, actuators and controllers.
Assessment Methods and Criteria
  Percentage (%)
Final 40
Group Project 40
Homework 20
Recommended or Required Reading
Readings

- Additive Manufacturing Technologies: Rapid Prototyping to Direct Digital Manufacturing by Ian Gibson, David W. Rosen, Brent Stucker
- Fabricated: The New World of 3D Printing by Hod Lipson, Melba Kurman
- Advanced Manufacturing Technology for Medical Applications: Reverse Engineering,
Software Conversion and Rapid Prototyping by Ian Gibson (Editor), Wiley, 2006.
- Computer Aided Manufacturing, by T.C. Chang, R.A. Wysk, and H.P. Wang 3rd Edition, Prentice Hall, 2006.
- Product Design: Techniques in Reverse Engineering and New Product Development by K. Otto and K. Wood, Prentice Hall, 2001.
- Principles of CAD/CAM/CAE, by K. Lee, Addison-Wesley, 1999.

Course Web https://sucourse.sabanciuniv.edu/