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
PrequisitesNone
Course languageEnglish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Discussion
Drill and Practice
Other: Exercises, Homeworks  
Instructor (s)Departmental faculty 
Course objective1. 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
  1. Students who have completed this course will learn about :
  2. 1. Basic principles of micro/nano scale systems and scale factor,
  3. 2. How to model micro/nano scale systems,
  4. 3. Mechanical properties of micro/nano actuators and sensors,
  5. 4. Biomimetics,
  6. 5. Energy harvesting,
  7. 6. Micro/nano contact mechanics and tribology.
Course ContentIntroduction 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. 
References1. 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

WeeksTopics
Week 1Introduction to Micro/Nano Engineering and examples: Scaling effects in the physical parameters
Week 2Micro/Nano Sensors : position, velocity, acceleration, force, pressure, moment, flow sensor, chemical sensors
Week 3Micro/Nano Actuators : Piezo actuators (Bending type, stack type), electrostatic, carbon nanotube (CNT) Actuators, biomolecular motors
Week 4Energy (Power) Sources : Lithium Thin Film Batteries, Solar Cells, Micro Fuel Cells, (Electro)Magnetic Energy, Molecular Energy (ATP), etc.
Week 5Micro/nano robot design strategies: biomimetics (Learning from Nature)
Week 6Micro/nano imaging Device: AFM (contact and noncontact image scanning)
Week 7Midterm exam
Week 8Modeling and design of Micro/Nano Systems: micro/nano-forces (Van der Waals, capillarity and electrostatic)
Week 9Vibrations of micro-nano structures: atomic structure, lattice structure, energy transfer in complex structures
Week 10Energy thermalization in complex structures: reversible and irreversible energy channeling in lattice structures
Week 11Energy harvesting mechanisms: piezoelectric materials
Week 12Midterm exam
Week 13Micro/nano scale contact mechanics and tribology: hertz, DMT, JKR, and MD contact models
Week 14Dynamic model for Atomic Force Microscope probes
Week 15
Week 16Final exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments410
Presentation125
Project00
Seminar00
Midterms235
Final exam130
Total100
Percentage of semester activities contributing grade succes770
Percentage of final exam contributing grade succes130
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)14684
Presentation / Seminar Preparation13434
Project000
Homework assignment41248
Midterms (Study duration)21020
Final Exam (Study duration) 11212
Total Workload3677240

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
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