Sensor Technology and Machine Automation Applications (5 cr)

Objectives (course unit)

Student understands the significance of sustainable development when designing machine automation applications.
Student knows how to choose and acquire a cost effective, high quality and suitable sensor for basic machine automation applications.
Student knows how to connect a sensor to a programmable logic controller and a microcomputer. Student is able to follow the development of sensor and component technology in the field of machine automation. Student learns how to choose and dimension components and mechanical units.
Student becomes familiar with the electrical and electromechanical components. Student learns to exploit the machine vision technology in the machine automation applications.

Content (course unit)

Basic concepts, presence sensor, quantity limits, identification, machine vision, distance measurement, transition and torsion angle measurement, tolerance control, speed control, acceleration and force measurements, temperature compensation, linear movement components, sealings.
Sensors and Actuators
- Introduction to Sensors and Actuators
- Fundamentals of Time and Frequency
- Sensor and Actuator Characteristics
- Sensors: Linear and Rotational Sensors, Acceleration Sensors, Force Measurement, Torque and Power Measurement, Flow Measurement, Temperature Measurements, Distance Measuring and Proximity Sensors, Light Detection, Image, and Vision Systems, Integrated Microsensors
- Actuators: Electromechanical Actuators, Electrical Machines, Piezoelectric Actuators, Hydraulic and Pneumatic Actuation Systems, MEMS: Microtransducers Analysis, Design, and Fabrication

Prerequisites (course unit)

Ei esitietovaatimuksia

Further information

Literature:
- Sähköinen opetusmateriaali
- Jaakko Fonselius: Koneautomaatio anturit
- Olli Aumala: Teollisuusprosessien mittaukset
- Edited by H. Baltes, G.K. Fedder, J.G. Korvink: Sensors update. vol. 13
- Sabrie Soloman: Sensors Handbook
- Handbook of modern sensors: physics, design, and applications / Jacob Fraden. 2004
- Mechatronics, principles, and applications, Godfrey C Onwubolu, 2005

Educational methods: teach-in, series of lectures, study conversation, self study/distance learning, exercises, assignments, practical work, coursework, summary report/essay, exam, collective learning, net learning, field-work (incl. study trips), laboratory work/workshop, research project, group exam and seminar.