MMÜ645 - MICRO-NANO ROBOTICS
Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
---|---|---|---|---|---|---|
MICRO-NANO ROBOTICS | MMÜ645 | Any Semester/Year | 3 | 0 | 3 | 8 |
Prequisites | None | |||||
Course language | English | |||||
Course type | Elective | |||||
Mode of Delivery | Face-to-Face | |||||
Learning and teaching strategies | Lecture Discussion Drill and Practice Other: Exercises, Homeworks | |||||
Instructor (s) | Departmental faculty | |||||
Course objective | 1. Understanding the fundamentals of micro/nanoscale physics, 2. To learn the design, construction, analysis, and control of the state-of-the-art micro/nano-robotic systems, 3. To learn the micro-nano sensors, actuators, manipulators, power sources, interfacing, robotic design and control issues, 4. To learn the interdisciplinary research on microelectromechanical systems (MEMS), nanotechnology, biotechnology, and robotics fields. | |||||
Learning outcomes |
| |||||
Course Content | Introduction to micro/nano engineering. Scaling effects in the physical parameters. Micro/nano sensors. Micro/nano actuators. Energy (power) sources. Micro/nano-robot design strategies and biomimetics. Micro/nano-imaging device. Micro/nano-manipulators. Modelling and design of micro/nano systems. Vibrations of micro-nano structures. Energy thermalization in complex structures. Energy harvesting mechanisms. Micro/nano scale contact mechanics and tribology. | |||||
References | 1. Class notes : Handouts will be distributed. 2. S. Fatikow and U. Rembold, Microsystem Technology and Microrobotics, Springer, 1997. 3. Nano- and Micro-Electromechanical Systems: Fundamentals of Nano and Microengineering, Sergey E. Lyshevski, Second Edition (Nano- and Microscience, Engineering, Technology, and Medicine Series), 2005 4. Microsystem Design, Stephen D. Senturia, Springer, 2004. 5. Microsystem Technology and Microrobotics, S. Fatikow and U. Rembold, Springer, 2002. |
Course outline weekly
Weeks | Topics |
---|---|
Week 1 | Introduction to Micro/Nano Engineering and examples: Scaling effects in the physical parameters |
Week 2 | Micro/Nano Sensors : position, velocity, acceleration, force, pressure, moment, flow sensor, chemical sensors |
Week 3 | Micro/Nano Actuators : Piezo actuators (Bending type, stack type), electrostatic, carbon nanotube (CNT) Actuators, biomolecular motors |
Week 4 | Energy (Power) Sources : Lithium Thin Film Batteries, Solar Cells, Micro Fuel Cells, (Electro)Magnetic Energy, Molecular Energy (ATP), etc. |
Week 5 | Micro/nano robot design strategies: biomimetics (Learning from Nature) |
Week 6 | Micro/nano imaging Device: AFM (contact and noncontact image scanning) |
Week 7 | Midterm exam |
Week 8 | Modeling and design of Micro/Nano Systems: micro/nano-forces (Van der Waals, capillarity and electrostatic) |
Week 9 | Vibrations of micro-nano structures: atomic structure, lattice structure, energy transfer in complex structures |
Week 10 | Energy thermalization in complex structures: reversible and irreversible energy channeling in lattice structures |
Week 11 | Energy harvesting mechanisms: piezoelectric materials |
Week 12 | Midterm exam |
Week 13 | Micro/nano scale contact mechanics and tribology: hertz, DMT, JKR, and MD contact models |
Week 14 | Dynamic model for Atomic Force Microscope probes |
Week 15 | |
Week 16 | Final exam |
Assesment methods
Course activities | Number | Percentage |
---|---|---|
Attendance | 0 | 0 |
Laboratory | 0 | 0 |
Application | 0 | 0 |
Field activities | 0 | 0 |
Specific practical training | 0 | 0 |
Assignments | 4 | 10 |
Presentation | 1 | 25 |
Project | 0 | 0 |
Seminar | 0 | 0 |
Midterms | 2 | 35 |
Final exam | 1 | 30 |
Total | 100 | |
Percentage of semester activities contributing grade succes | 7 | 70 |
Percentage of final exam contributing grade succes | 1 | 30 |
Total | 100 |
WORKLOAD AND ECTS CALCULATION
Activities | Number | Duration (hour) | Total Work Load |
---|---|---|---|
Course Duration (x14) | 14 | 3 | 42 |
Laboratory | 0 | 0 | 0 |
Application | 0 | 0 | 0 |
Specific practical training | 0 | 0 | 0 |
Field activities | 0 | 0 | 0 |
Study Hours Out of Class (Preliminary work, reinforcement, ect) | 14 | 6 | 84 |
Presentation / Seminar Preparation | 1 | 34 | 34 |
Project | 0 | 0 | 0 |
Homework assignment | 4 | 12 | 48 |
Midterms (Study duration) | 2 | 10 | 20 |
Final Exam (Study duration) | 1 | 12 | 12 |
Total Workload | 36 | 77 | 240 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
D.9. Key Learning Outcomes | Contrubition level* | ||||
---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | |
1. Obtain advanced level theoretical and applied knowledge by gaining expertise in different areas of Mechanical Engineering. | X | ||||
2. Have knowledge, skills and and competence to develop novel approaches in science and technology. | X | ||||
3. Use the tools of the basic and engineering sciences in the solution of complex engineering problems. | X | ||||
4. Contribute to the science and technology literature by publishing results of their academic work. | X | ||||
5. Carry out a comprehensive research study that results in a new scientific method or leads to a technological product/process, that brings innovation to science/technology, or is an application of a known methodology into a new field. | X | ||||
6. Are able to carry out an advanced level research work in his/her field independently. | X | ||||
7. Take the responsibility and develop new strategical approaches for solving unforeseen complicated problems in engineering. | X | ||||
8. Are able to show leadership when faced with problems related to mechanical engineering. | X | ||||
9. Are aware of the life-long learning philosophy and its opportunities in effective monitoring of current developments in Mechanical Engineering. | X | ||||
10. Can present his/her ideas and works in written and oral forms effectively; in Turkish or English. | X | ||||
11. Follows and interprets scientific literature and uses them efficiently for the solution of engineering problems. | X | ||||
12. Use the information and communication technologies at the advanced level as required by the area of specialization and work. | X | ||||
13. Are aware of his/her social responsibilities, evaluates scientific and technological developments with impartiality and ethical responsibility. | X | ||||
14. Uses the information which he/she absorbs from his/her field, the problem solving and practical skills in interdiciplinary studies. | X |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest