Advanced Solid Modeling Techniques (ENS 410)

2022 Spring
Faculty of Engineering and Natural Sciences
Engineering Sciences(ENS)
3
6
Utku Seven useven@sabanciuniv.edu,
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Undergraduate
ENS209
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CONTENT

Advanced Solid Modeling Techniques is structured on the technical drafting and solid modeling knowledge provided in ENS209 (Introduction to Computer Aided Drafting and Solid Modeling). Advanced modeling techniques, their effects on technical drawings and documentation, based on the manufacturing methods will be investigated and taught in this course. CAD and CAE techniques will be discussed, respectively. Advanced part modeling techniques, advanced assembly modeling techniques, animation and motion studies, design automation techniques, welded constructions, sheet metal modeling and manufacturing operations, surface modeling techniques, mold design, routing/piping modeling, basic (static/thermal) finite element analyses, advanced file management methods, and file format integration are included in the course content.

PROGRAMME OUTCOMES


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.

2. Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice.

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; have the ability to continue to educate him/herself.

4. Communicate effectively in Turkish and English by oral, written, graphical and technological means.

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.


1. Possess sufficient knowledge of mathematics, science and program-specific engineering topics; use theoretical and applied knowledge of these areas in complex engineering problems.

2. Identify, define, formulate and solve complex engineering problems; choose and apply suitable analysis and modeling methods for this purpose.

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. Have the 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.

5. Design and conduct experiments, collect data, analyze and interpret the results to investigate complex engineering problems or program-specific research areas.

6. Possess knowledge of business practices such as project management, risk management and change management; awareness on innovation; knowledge of sustainable development.

7. Possess 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; knowledge of behavior according to ethical principles, understanding of professional and ethical responsibility.

8. Have the ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.


1. Applying fundamental and advanced knowledge of natural sciences as well as engineering principles to develop and design new materials and establish the relation between internal structure and physical properties using experimental, computational and theoretical tools.

2. Merging the existing knowledge on physical properties, design limits and fabrication methods in materials selection for a particular application or to resolve material performance related problems.

3. Predicting and understanding the behavior of a material under use in a specific environment knowing the internal structure or vice versa.


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.


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.

2. Design and develop appropriate analytical solution strategies for problems in integrated production and service systems involving human capital, materials, information, equipment, and energy.

3. Implement solution strategies on a computer platform for decision-support purposes by employing effective computational and experimental tools.