Course Catalog 2009-2010 Basic Basic Pori International Postgraduate Open University |Degrees|     |Study blocks|     |Courses|

Person responsible

Pekka Ronkanen

Implementations

	Lecture times and places	Target group recommended to
Implementation 1	Periods 3 3 - 5	3.-n. vuosikurssi Automaatio-, kone- ja materiaalitekniikan tiedekunta Automaatiotekniikan koulutusohjelma Biotekniikan koulutusohjelma DI-Opiskelijat International Students Konetekniikan koulutusohjelma Sähkötekniikan koulutusohjelma

Requirements

Preliminary and final reports for five laboratory works, participance in five laboratory sessions.
Completion parts must belong to the same implementation

Principles and baselines related to teaching and learning

-

Learning outcomes

To learn the properties and issues in practical usage of important microsensors, microactuators and active materials through a hands-on and problem-based approach.

Content

Content	Core content	Complementary knowledge	Specialist knowledge
1.	PC-based data acquisition and control systems, the use of basic laboratory equipment.	Real-time Linux and Labview based data acquisition and control software (how to use).	Development of own data acquisition and control software.
2.	Microsensors: accelerometers, hall sensors and magnetoresistive sensors. Advantages and disadvantages, how to use in practice in different applications.	Operation principles of acceleration, Hall and megnetoresistive sensors. How to use laser dispalcement sensors.
3.	Active actuator materials: piezoelectric actuators and shape memory actuators. Advantages and disadvantages, how to use in practise.	Operation principles of piezoelectric, SMA, voice coil and stepper motor actuators.	Control issues of the actuators.
4.	Microfluidics: PDMS microfabrication, micropumps and micromixers, microchannel flows. How to use.	Operation principles of the micropumps and micromixers.	Material properties of PDMS.

Evaluation criteria for the course

Each preliminary and final report has to be accepted before getting the final grade (accepted). Each laboratory work has its own acceptance criteria.

Assessment scale:

Numerical evaluation scale (1-5) will be used on the course

Partial passing:

Completion parts must belong to the same implementation

Prerequisites

Additional information about prerequisites
Basic knowledge on Matlab is recommended.

Correspondence of content

More precise information per implementation

	Description	Methods of instruction	Implementation
Implementation 1	Here you can find information on the implementation of the course in Semester 2009-2010.	Lectures Laboratory assignments	Contact teaching: 0 % Distance learning: 0 % Self-directed learning: 0 %

Last modified	08.05.2009
Modifier	Pasi Kallio