|
|
|||||||||||||||||
Course Catalog 2011-2012
ACI-51306 Microrobotics and microactuators, 5 cr |
Additional information
Suitable for postgraduate studies
Person responsible
Pasi Kallio
Lessons
| Study type | P1 | P2 | P3 | P4 | Summer | Implementations | Lecture times and places |
|
|
|
|
|
|
|
|
|
Requirements
Accepted laboratory exercises (3) and an accepted project work. Attendance at six or more 2 h lectures. Three one page summary reports on various actuator materials.
Completion parts must belong to the same implementation
Principles and baselines related to teaching and learning
-
Learning outcomes
After the course, the student is able to - use and implement applications for real-time data acquisition and control using xPC Target environment - name typical displacement sensors and use laser distance sensors - explain piezoelectric effect and the operation principles of typical piezoelectric actuators, use piezoelectric actuators, analyse the properties of piezoelectric actuators, and implement feedback control for piezoelectric actuators - explain shape memory effect and the operation principles of typical shape memory actuators, use shape memory actuators - explain magnetostrictive effect and the operation principles of magnetostrictive actuators, use magnetostrictive actuators, and analyse their properties using own measurements - recognise different types of electro active polymers and explain their operation principles - explain magnetic shape memory (MSM) effect and the operation principles of MSM actuators - explain the operation principles magnetorheological fluids - report own measurement results in a technical writing style
Content
| Content | Core content | Complementary knowledge | Specialist knowledge |
| 1. | Piezoelectric actuators: effect, design, actuator types, figures of merit. Control aspects of piezoelectric actuators. | Applications of piezoelectric actuators. | Fabrication and material issues of piezoelectric actuators. |
| 2. | Shape memory actuators: effect, design, actuator types, figures of merit. | Control aspects and applications of shape memory actuators. | Fabrication and material issues of shape memory actuators. |
| 3. | Electroactive polymer actuators: effect, design, actuator types, figures of merit. | Control aspects and applications of electroactive polymer actuators. | Fabrication and material issues of electroactive polymer actuators. |
| 4. | Magnetostrictive actuators: effect, design, actuator types, figures of merit. | Control aspects and applications of magnetostrictive actuators. | Fabrication and material issues of magnetostrictive actuators. |
| 5. | Magnetorheological actuators: effect, design, actuator types, figures of merit. | Control aspects and applications of magnetorheological actuators. | Fabrication and material issues of magnetorheological actuators. |
| 6. | Matlab's xPC Target as a data acquisition and control platform. |
Evaluation criteria for the course
Option 1: The course assesment is based on the written exam. The students can gain bonus points by participating the lectures. The bonus points will be taken into account in the final grade. Option 2: The course assesment is based on the evaluation of the laboratory exercises (3) and the project report. Active attendance at the lectures is required.
Assessment scale:
Numerical evaluation scale (1-5) will be used on the course
Partial passing:
Study material
| Type | Name | Author | ISBN | URL | Edition, availability, ... | Examination material | Language |
| Book | Emerging Actuator Technologies: a Micromechatronic Approach | Jose L. Pons | 0-470-09197-5 | English |
Prerequisite relations (Requires logging in to POP)
Correspondence of content
| Course | Corresponds course | Description |
|
|
|
More precise information per implementation
| Implementation | Description | Methods of instruction | Implementation |
| Here you can find information concerning the implementation of the course in 2010-2011. | Lectures Excercises Practical works Laboratory assignments |
Contact teaching: 0 % Distance learning: 0 % Self-directed learning: 0 % |