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Sensor Technology and Automation ApplicationsLaajuus (5 cr)

Code: 5K00DU92

Credits

5 op

Objectives

The student knows the sensors and their operating principles that are essential for machine automation. The student masters practical electrical and electromechanical components and their connections to control devices such as logic and microcomputer. The student is able to locate system failures caused by the sensor. The student will be able to choose and acquire a cost-effective, high quality and suitable sensor for machine automation for the most common applications. The student is able to utilize machine vision in machine automation applications. The student understands the importance of sustainable development when designing automation applications.

Content

Basic concepts, presence detection, detection of high limits, detection, machine vision, fundamentals of image processing, distance measurement, measurement of displacement and rotation angle, tolerance control, speed measurement, acceleration and force measurement: sensor principles (piezoelectric, strain gauge, inductive, capacitive), typical characteristics of sensors, typical characteristics of sensors Wheatstone Bridge, Coupling Effect, Temperature Compensation, Measuring Factors, Error Sources, Laboratory Measurement, and Getting to Know the Technical Documentation of the Devices. Linear motion components, synchronization, rotary and rotational components, seals, electromechanical components.

Assessment criteria, satisfactory (1-2)

The student is able to master the fundamentals of sensor technology and is able to choose assisted sensing for a simple machine automation application. Copes with simple tasks independently. Can work in a group.

Assessment criteria, good (3-4)

The student is well versed in the basics of sensor technology and is able to independently and reasonably choose sensing for typical machine automation applications. Copes with typical sensor technology tasks independently. Can work actively and constructively in the group.

Assessment criteria, excellent (5)

The student masters the fundamentals of sensor technology and is able to choose independently and justifiably for broader machine automation applications. Copes with challenging sensor technology tasks independently. Can work actively in the group and develops the group's activities commendably.

Enrolment period

02.07.2024 - 01.09.2024

Timing

02.09.2024 - 22.12.2024

Credits

5 op

Mode of delivery

Contact teaching

Unit

Mechanical Engineering

Campus

TAMK Main Campus

Teaching languages
  • Finnish
Degree programmes
  • Degree Programme in Mechanical Engineering
Teachers
  • Ville Jouppila
  • Topi Talvitie
  • Mikko Korpela
Person in charge

Ville Jouppila

Groups
  • 23AI112

Objectives (course unit)

The student knows the sensors and their operating principles that are essential for machine automation. The student masters practical electrical and electromechanical components and their connections to control devices such as logic and microcomputer. The student is able to locate system failures caused by the sensor. The student will be able to choose and acquire a cost-effective, high quality and suitable sensor for machine automation for the most common applications. The student is able to utilize machine vision in machine automation applications. The student understands the importance of sustainable development when designing automation applications.

Content (course unit)

Basic concepts, presence detection, detection of high limits, detection, machine vision, fundamentals of image processing, distance measurement, measurement of displacement and rotation angle, tolerance control, speed measurement, acceleration and force measurement: sensor principles (piezoelectric, strain gauge, inductive, capacitive), typical characteristics of sensors, typical characteristics of sensors Wheatstone Bridge, Coupling Effect, Temperature Compensation, Measuring Factors, Error Sources, Laboratory Measurement, and Getting to Know the Technical Documentation of the Devices. Linear motion components, synchronization, rotary and rotational components, seals, electromechanical components.

Assessment criteria, satisfactory (1-2) (course unit)

The student is able to master the fundamentals of sensor technology and is able to choose assisted sensing for a simple machine automation application. Copes with simple tasks independently. Can work in a group.

Assessment criteria, good (3-4) (course unit)

The student is well versed in the basics of sensor technology and is able to independently and reasonably choose sensing for typical machine automation applications. Copes with typical sensor technology tasks independently. Can work actively and constructively in the group.

Assessment criteria, excellent (5) (course unit)

The student masters the fundamentals of sensor technology and is able to choose independently and justifiably for broader machine automation applications. Copes with challenging sensor technology tasks independently. Can work actively in the group and develops the group's activities commendably.

Assessment scale

0-5

Teaching methods

Theory lessons in contact/distance sessions
Practical training and laboratory work in small groups
Self-learning

Learning materials

Course material
WSOY: Automaatiojärjestelmien ohjauslaitteet
WSOY: Automaatiojärjestelmien pneumatiikka ja hydrauliikka
Introduction to mechatronics and measurements systems, David Alciator

Student workload

Theory lessons 20h/student, laboratory work and reports 60h/student, self studying 50h

Enrolment period

02.12.2023 - 11.01.2024

Timing

01.01.2024 - 19.05.2024

Credits

5 op

Mode of delivery

Contact teaching

Unit

Mechanical Engineering

Campus

TAMK Main Campus

Teaching languages
  • Finnish
Degree programmes
  • Degree Programme in Mechanical Engineering
Teachers
  • Ville Jouppila
  • Mikko Korpela
Person in charge

Ville Jouppila

Groups
  • 22I112A

Objectives (course unit)

The student knows the sensors and their operating principles that are essential for machine automation. The student masters practical electrical and electromechanical components and their connections to control devices such as logic and microcomputer. The student is able to locate system failures caused by the sensor. The student will be able to choose and acquire a cost-effective, high quality and suitable sensor for machine automation for the most common applications. The student is able to utilize machine vision in machine automation applications. The student understands the importance of sustainable development when designing automation applications.

Content (course unit)

Basic concepts, presence detection, detection of high limits, detection, machine vision, fundamentals of image processing, distance measurement, measurement of displacement and rotation angle, tolerance control, speed measurement, acceleration and force measurement: sensor principles (piezoelectric, strain gauge, inductive, capacitive), typical characteristics of sensors, typical characteristics of sensors Wheatstone Bridge, Coupling Effect, Temperature Compensation, Measuring Factors, Error Sources, Laboratory Measurement, and Getting to Know the Technical Documentation of the Devices. Linear motion components, synchronization, rotary and rotational components, seals, electromechanical components.

Assessment criteria, satisfactory (1-2) (course unit)

The student is able to master the fundamentals of sensor technology and is able to choose assisted sensing for a simple machine automation application. Copes with simple tasks independently. Can work in a group.

Assessment criteria, good (3-4) (course unit)

The student is well versed in the basics of sensor technology and is able to independently and reasonably choose sensing for typical machine automation applications. Copes with typical sensor technology tasks independently. Can work actively and constructively in the group.

Assessment criteria, excellent (5) (course unit)

The student masters the fundamentals of sensor technology and is able to choose independently and justifiably for broader machine automation applications. Copes with challenging sensor technology tasks independently. Can work actively in the group and develops the group's activities commendably.

Assessment scale

0-5

Teaching methods

Theory lessons in contact/distance sessions
Practical training and laboratory work in small groups
Self-learning

Learning materials

Course material
WSOY: Automaatiojärjestelmien ohjauslaitteet
WSOY: Automaatiojärjestelmien pneumatiikka ja hydrauliikka
Introduction to mechatronics and measurements systems, David Alciator

Student workload

Theory lessons 20h/student, laboratory work and reports 60h/student, self studying 50h

Enrolment period

02.12.2023 - 11.01.2024

Timing

01.01.2024 - 19.05.2024

Credits

5 op

Mode of delivery

Contact teaching

Unit

Mechanical Engineering

Campus

TAMK Main Campus

Teaching languages
  • Finnish
Degree programmes
  • Degree Programme in Mechanical Engineering
Teachers
  • Ville Jouppila
  • Mikko Korpela
Person in charge

Ville Jouppila

Groups
  • 22I112B

Objectives (course unit)

The student knows the sensors and their operating principles that are essential for machine automation. The student masters practical electrical and electromechanical components and their connections to control devices such as logic and microcomputer. The student is able to locate system failures caused by the sensor. The student will be able to choose and acquire a cost-effective, high quality and suitable sensor for machine automation for the most common applications. The student is able to utilize machine vision in machine automation applications. The student understands the importance of sustainable development when designing automation applications.

Content (course unit)

Basic concepts, presence detection, detection of high limits, detection, machine vision, fundamentals of image processing, distance measurement, measurement of displacement and rotation angle, tolerance control, speed measurement, acceleration and force measurement: sensor principles (piezoelectric, strain gauge, inductive, capacitive), typical characteristics of sensors, typical characteristics of sensors Wheatstone Bridge, Coupling Effect, Temperature Compensation, Measuring Factors, Error Sources, Laboratory Measurement, and Getting to Know the Technical Documentation of the Devices. Linear motion components, synchronization, rotary and rotational components, seals, electromechanical components.

Assessment criteria, satisfactory (1-2) (course unit)

The student is able to master the fundamentals of sensor technology and is able to choose assisted sensing for a simple machine automation application. Copes with simple tasks independently. Can work in a group.

Assessment criteria, good (3-4) (course unit)

The student is well versed in the basics of sensor technology and is able to independently and reasonably choose sensing for typical machine automation applications. Copes with typical sensor technology tasks independently. Can work actively and constructively in the group.

Assessment criteria, excellent (5) (course unit)

The student masters the fundamentals of sensor technology and is able to choose independently and justifiably for broader machine automation applications. Copes with challenging sensor technology tasks independently. Can work actively in the group and develops the group's activities commendably.

Assessment scale

0-5

Teaching methods

Theory lessons in contact/distance sessions
Practical training and laboratory work in small groups
Self-learning

Learning materials

Course material
WSOY: Automaatiojärjestelmien ohjauslaitteet
WSOY: Automaatiojärjestelmien pneumatiikka ja hydrauliikka
Introduction to mechatronics and measurements systems, David Alciator

Student workload

Theory lessons 20h/student, laboratory work and reports 60h/student, self studying 50h

Enrolment period

02.12.2023 - 11.01.2024

Timing

01.01.2024 - 19.05.2024

Credits

5 op

Mode of delivery

Contact teaching

Unit

Mechanical Engineering

Campus

TAMK Main Campus

Teaching languages
  • Finnish
Degree programmes
  • Degree Programme in Mechanical Engineering
Teachers
  • Ville Jouppila
  • Mikko Korpela
Person in charge

Ville Jouppila

Groups
  • 22I112C

Objectives (course unit)

The student knows the sensors and their operating principles that are essential for machine automation. The student masters practical electrical and electromechanical components and their connections to control devices such as logic and microcomputer. The student is able to locate system failures caused by the sensor. The student will be able to choose and acquire a cost-effective, high quality and suitable sensor for machine automation for the most common applications. The student is able to utilize machine vision in machine automation applications. The student understands the importance of sustainable development when designing automation applications.

Content (course unit)

Basic concepts, presence detection, detection of high limits, detection, machine vision, fundamentals of image processing, distance measurement, measurement of displacement and rotation angle, tolerance control, speed measurement, acceleration and force measurement: sensor principles (piezoelectric, strain gauge, inductive, capacitive), typical characteristics of sensors, typical characteristics of sensors Wheatstone Bridge, Coupling Effect, Temperature Compensation, Measuring Factors, Error Sources, Laboratory Measurement, and Getting to Know the Technical Documentation of the Devices. Linear motion components, synchronization, rotary and rotational components, seals, electromechanical components.

Assessment criteria, satisfactory (1-2) (course unit)

The student is able to master the fundamentals of sensor technology and is able to choose assisted sensing for a simple machine automation application. Copes with simple tasks independently. Can work in a group.

Assessment criteria, good (3-4) (course unit)

The student is well versed in the basics of sensor technology and is able to independently and reasonably choose sensing for typical machine automation applications. Copes with typical sensor technology tasks independently. Can work actively and constructively in the group.

Assessment criteria, excellent (5) (course unit)

The student masters the fundamentals of sensor technology and is able to choose independently and justifiably for broader machine automation applications. Copes with challenging sensor technology tasks independently. Can work actively in the group and develops the group's activities commendably.

Assessment scale

0-5

Teaching methods

Theory lessons in contact/distance sessions
Practical training and laboratory work in small groups
Self-learning

Learning materials

Course material
WSOY: Automaatiojärjestelmien ohjauslaitteet
WSOY: Automaatiojärjestelmien pneumatiikka ja hydrauliikka
Introduction to mechatronics and measurements systems, David Alciator

Student workload

Theory lessons 20h/student, laboratory work and reports 60h/student, self studying 50h

Enrolment period

02.07.2023 - 28.08.2023

Timing

28.08.2023 - 15.12.2023

Credits

5 op

Mode of delivery

Contact teaching

Unit

Mechanical Engineering

Campus

TAMK Main Campus

Teaching languages
  • Finnish
Seats

0 - 30

Degree programmes
  • Degree Programme in Mechanical Engineering
Teachers
  • Ville Jouppila
  • Mikko Korpela
Person in charge

Ville Jouppila

Groups
  • 22AI112P

Objectives (course unit)

The student knows the sensors and their operating principles that are essential for machine automation. The student masters practical electrical and electromechanical components and their connections to control devices such as logic and microcomputer. The student is able to locate system failures caused by the sensor. The student will be able to choose and acquire a cost-effective, high quality and suitable sensor for machine automation for the most common applications. The student is able to utilize machine vision in machine automation applications. The student understands the importance of sustainable development when designing automation applications.

Content (course unit)

Basic concepts, presence detection, detection of high limits, detection, machine vision, fundamentals of image processing, distance measurement, measurement of displacement and rotation angle, tolerance control, speed measurement, acceleration and force measurement: sensor principles (piezoelectric, strain gauge, inductive, capacitive), typical characteristics of sensors, typical characteristics of sensors Wheatstone Bridge, Coupling Effect, Temperature Compensation, Measuring Factors, Error Sources, Laboratory Measurement, and Getting to Know the Technical Documentation of the Devices. Linear motion components, synchronization, rotary and rotational components, seals, electromechanical components.

Assessment criteria, satisfactory (1-2) (course unit)

The student is able to master the fundamentals of sensor technology and is able to choose assisted sensing for a simple machine automation application. Copes with simple tasks independently. Can work in a group.

Assessment criteria, good (3-4) (course unit)

The student is well versed in the basics of sensor technology and is able to independently and reasonably choose sensing for typical machine automation applications. Copes with typical sensor technology tasks independently. Can work actively and constructively in the group.

Assessment criteria, excellent (5) (course unit)

The student masters the fundamentals of sensor technology and is able to choose independently and justifiably for broader machine automation applications. Copes with challenging sensor technology tasks independently. Can work actively in the group and develops the group's activities commendably.

Assessment scale

0-5

Teaching methods

Theory lessons in contact/distance sessions
Practical training and laboratory work in small groups
Self-learning

Learning materials

Course material
WSOY: Automaatiojärjestelmien ohjauslaitteet
WSOY: Automaatiojärjestelmien pneumatiikka ja hydrauliikka
Introduction to mechatronics and measurements systems, David Alciator

Student workload

Theory lessons 20h/student, laboratory work and reports 60h/student, self studying 50h

Enrolment period

02.12.2022 - 06.01.2023

Timing

01.01.2023 - 15.05.2023

Credits

5 op

Mode of delivery

Contact teaching

Unit

Mechanical Engineering

Campus

TAMK Main Campus

Teaching languages
  • Finnish
Degree programmes
  • Degree Programme in Mechanical Engineering
Teachers
  • Ville Jouppila
  • Mikko Korpela
Person in charge

Ville Jouppila

Groups
  • 21I112A

Objectives (course unit)

The student knows the sensors and their operating principles that are essential for machine automation. The student masters practical electrical and electromechanical components and their connections to control devices such as logic and microcomputer. The student is able to locate system failures caused by the sensor. The student will be able to choose and acquire a cost-effective, high quality and suitable sensor for machine automation for the most common applications. The student is able to utilize machine vision in machine automation applications. The student understands the importance of sustainable development when designing automation applications.

Content (course unit)

Basic concepts, presence detection, detection of high limits, detection, machine vision, fundamentals of image processing, distance measurement, measurement of displacement and rotation angle, tolerance control, speed measurement, acceleration and force measurement: sensor principles (piezoelectric, strain gauge, inductive, capacitive), typical characteristics of sensors, typical characteristics of sensors Wheatstone Bridge, Coupling Effect, Temperature Compensation, Measuring Factors, Error Sources, Laboratory Measurement, and Getting to Know the Technical Documentation of the Devices. Linear motion components, synchronization, rotary and rotational components, seals, electromechanical components.

Assessment criteria, satisfactory (1-2) (course unit)

The student is able to master the fundamentals of sensor technology and is able to choose assisted sensing for a simple machine automation application. Copes with simple tasks independently. Can work in a group.

Assessment criteria, good (3-4) (course unit)

The student is well versed in the basics of sensor technology and is able to independently and reasonably choose sensing for typical machine automation applications. Copes with typical sensor technology tasks independently. Can work actively and constructively in the group.

Assessment criteria, excellent (5) (course unit)

The student masters the fundamentals of sensor technology and is able to choose independently and justifiably for broader machine automation applications. Copes with challenging sensor technology tasks independently. Can work actively in the group and develops the group's activities commendably.

Assessment scale

0-5

Teaching methods

Theory lessons in contact/distance sessions
Practical training and laboratory work in small groups
Self-learning

Learning materials

Course material
WSOY: Automaatiojärjestelmien ohjauslaitteet
WSOY: Automaatiojärjestelmien pneumatiikka ja hydrauliikka
Introduction to mechatronics and measurements systems, David Alciator

Student workload

Theory lessons 20h/student, laboratory work and reports 60h/student, self studying 50h

Enrolment period

02.12.2022 - 06.01.2023

Timing

01.01.2023 - 15.05.2023

Credits

5 op

Mode of delivery

Contact teaching

Unit

Mechanical Engineering

Campus

TAMK Main Campus

Teaching languages
  • Finnish
Degree programmes
  • Degree Programme in Mechanical Engineering
Teachers
  • Ville Jouppila
  • Mikko Korpela
Person in charge

Ville Jouppila

Groups
  • 21I112B

Objectives (course unit)

The student knows the sensors and their operating principles that are essential for machine automation. The student masters practical electrical and electromechanical components and their connections to control devices such as logic and microcomputer. The student is able to locate system failures caused by the sensor. The student will be able to choose and acquire a cost-effective, high quality and suitable sensor for machine automation for the most common applications. The student is able to utilize machine vision in machine automation applications. The student understands the importance of sustainable development when designing automation applications.

Content (course unit)

Basic concepts, presence detection, detection of high limits, detection, machine vision, fundamentals of image processing, distance measurement, measurement of displacement and rotation angle, tolerance control, speed measurement, acceleration and force measurement: sensor principles (piezoelectric, strain gauge, inductive, capacitive), typical characteristics of sensors, typical characteristics of sensors Wheatstone Bridge, Coupling Effect, Temperature Compensation, Measuring Factors, Error Sources, Laboratory Measurement, and Getting to Know the Technical Documentation of the Devices. Linear motion components, synchronization, rotary and rotational components, seals, electromechanical components.

Assessment criteria, satisfactory (1-2) (course unit)

The student is able to master the fundamentals of sensor technology and is able to choose assisted sensing for a simple machine automation application. Copes with simple tasks independently. Can work in a group.

Assessment criteria, good (3-4) (course unit)

The student is well versed in the basics of sensor technology and is able to independently and reasonably choose sensing for typical machine automation applications. Copes with typical sensor technology tasks independently. Can work actively and constructively in the group.

Assessment criteria, excellent (5) (course unit)

The student masters the fundamentals of sensor technology and is able to choose independently and justifiably for broader machine automation applications. Copes with challenging sensor technology tasks independently. Can work actively in the group and develops the group's activities commendably.

Assessment scale

0-5

Teaching methods

Theory lessons in contact/distance sessions
Practical training and laboratory work in small groups
Self-learning

Learning materials

Course material
WSOY: Automaatiojärjestelmien ohjauslaitteet
WSOY: Automaatiojärjestelmien pneumatiikka ja hydrauliikka
Introduction to mechatronics and measurements systems, David Alciator

Student workload

Theory lessons 20h/student, laboratory work and reports 60h/student, self studying 50h

Enrolment period

02.12.2022 - 06.01.2023

Timing

01.01.2023 - 15.05.2023

Credits

5 op

Mode of delivery

Contact teaching

Unit

Mechanical Engineering

Campus

TAMK Main Campus

Teaching languages
  • Finnish
Degree programmes
  • Degree Programme in Mechanical Engineering
Teachers
  • Ville Jouppila
  • Mikko Korpela
Person in charge

Ville Jouppila

Groups
  • 21I112C

Objectives (course unit)

The student knows the sensors and their operating principles that are essential for machine automation. The student masters practical electrical and electromechanical components and their connections to control devices such as logic and microcomputer. The student is able to locate system failures caused by the sensor. The student will be able to choose and acquire a cost-effective, high quality and suitable sensor for machine automation for the most common applications. The student is able to utilize machine vision in machine automation applications. The student understands the importance of sustainable development when designing automation applications.

Content (course unit)

Basic concepts, presence detection, detection of high limits, detection, machine vision, fundamentals of image processing, distance measurement, measurement of displacement and rotation angle, tolerance control, speed measurement, acceleration and force measurement: sensor principles (piezoelectric, strain gauge, inductive, capacitive), typical characteristics of sensors, typical characteristics of sensors Wheatstone Bridge, Coupling Effect, Temperature Compensation, Measuring Factors, Error Sources, Laboratory Measurement, and Getting to Know the Technical Documentation of the Devices. Linear motion components, synchronization, rotary and rotational components, seals, electromechanical components.

Assessment criteria, satisfactory (1-2) (course unit)

The student is able to master the fundamentals of sensor technology and is able to choose assisted sensing for a simple machine automation application. Copes with simple tasks independently. Can work in a group.

Assessment criteria, good (3-4) (course unit)

The student is well versed in the basics of sensor technology and is able to independently and reasonably choose sensing for typical machine automation applications. Copes with typical sensor technology tasks independently. Can work actively and constructively in the group.

Assessment criteria, excellent (5) (course unit)

The student masters the fundamentals of sensor technology and is able to choose independently and justifiably for broader machine automation applications. Copes with challenging sensor technology tasks independently. Can work actively in the group and develops the group's activities commendably.

Assessment scale

0-5

Teaching methods

Theory lessons in contact/distance sessions
Practical training and laboratory work in small groups
Self-learning

Learning materials

Course material
WSOY: Automaatiojärjestelmien ohjauslaitteet
WSOY: Automaatiojärjestelmien pneumatiikka ja hydrauliikka
Introduction to mechatronics and measurements systems, David Alciator

Student workload

Theory lessons 20h/student, laboratory work and reports 60h/student, self studying 50h

Enrolment period

02.07.2022 - 02.09.2022

Timing

01.08.2022 - 20.12.2022

Credits

5 op

Mode of delivery

Contact teaching

Unit

Mechanical Engineering

Campus

TAMK Main Campus

Teaching languages
  • Finnish
Degree programmes
  • Degree Programme in Mechanical Engineering
Teachers
  • Ville Jouppila
  • Mikko Korpela
Person in charge

Ville Jouppila

Groups
  • 21AI112

Objectives (course unit)

The student knows the sensors and their operating principles that are essential for machine automation. The student masters practical electrical and electromechanical components and their connections to control devices such as logic and microcomputer. The student is able to locate system failures caused by the sensor. The student will be able to choose and acquire a cost-effective, high quality and suitable sensor for machine automation for the most common applications. The student is able to utilize machine vision in machine automation applications. The student understands the importance of sustainable development when designing automation applications.

Content (course unit)

Basic concepts, presence detection, detection of high limits, detection, machine vision, fundamentals of image processing, distance measurement, measurement of displacement and rotation angle, tolerance control, speed measurement, acceleration and force measurement: sensor principles (piezoelectric, strain gauge, inductive, capacitive), typical characteristics of sensors, typical characteristics of sensors Wheatstone Bridge, Coupling Effect, Temperature Compensation, Measuring Factors, Error Sources, Laboratory Measurement, and Getting to Know the Technical Documentation of the Devices. Linear motion components, synchronization, rotary and rotational components, seals, electromechanical components.

Assessment criteria, satisfactory (1-2) (course unit)

The student is able to master the fundamentals of sensor technology and is able to choose assisted sensing for a simple machine automation application. Copes with simple tasks independently. Can work in a group.

Assessment criteria, good (3-4) (course unit)

The student is well versed in the basics of sensor technology and is able to independently and reasonably choose sensing for typical machine automation applications. Copes with typical sensor technology tasks independently. Can work actively and constructively in the group.

Assessment criteria, excellent (5) (course unit)

The student masters the fundamentals of sensor technology and is able to choose independently and justifiably for broader machine automation applications. Copes with challenging sensor technology tasks independently. Can work actively in the group and develops the group's activities commendably.

Assessment scale

0-5

Teaching methods

Theory lessons in contact/distance sessions
Practical training and laboratory work in small groups
Self-learning

Learning materials

Course material
WSOY: Automaatiojärjestelmien ohjauslaitteet
WSOY: Automaatiojärjestelmien pneumatiikka ja hydrauliikka
Introduction to mechatronics and measurements systems, David Alciator

Student workload

Theory lessons 20h/student, laboratory work and reports 60h/student, self studying 50h

Enrolment period

02.12.2021 - 11.01.2022

Timing

10.01.2022 - 01.05.2022

Credits

5 op

Mode of delivery

Contact teaching

Unit

Mechanical Engineering

Campus

TAMK Main Campus

Teaching languages
  • Finnish
Degree programmes
  • Degree Programme in Mechanical Engineering
Teachers
  • Ville Jouppila
  • Mikko Korpela
Person in charge

Ville Jouppila

Groups
  • 20I112A

Objectives (course unit)

The student knows the sensors and their operating principles that are essential for machine automation. The student masters practical electrical and electromechanical components and their connections to control devices such as logic and microcomputer. The student is able to locate system failures caused by the sensor. The student will be able to choose and acquire a cost-effective, high quality and suitable sensor for machine automation for the most common applications. The student is able to utilize machine vision in machine automation applications. The student understands the importance of sustainable development when designing automation applications.

Content (course unit)

Basic concepts, presence detection, detection of high limits, detection, machine vision, fundamentals of image processing, distance measurement, measurement of displacement and rotation angle, tolerance control, speed measurement, acceleration and force measurement: sensor principles (piezoelectric, strain gauge, inductive, capacitive), typical characteristics of sensors, typical characteristics of sensors Wheatstone Bridge, Coupling Effect, Temperature Compensation, Measuring Factors, Error Sources, Laboratory Measurement, and Getting to Know the Technical Documentation of the Devices. Linear motion components, synchronization, rotary and rotational components, seals, electromechanical components.

Assessment criteria, satisfactory (1-2) (course unit)

The student is able to master the fundamentals of sensor technology and is able to choose assisted sensing for a simple machine automation application. Copes with simple tasks independently. Can work in a group.

Assessment criteria, good (3-4) (course unit)

The student is well versed in the basics of sensor technology and is able to independently and reasonably choose sensing for typical machine automation applications. Copes with typical sensor technology tasks independently. Can work actively and constructively in the group.

Assessment criteria, excellent (5) (course unit)

The student masters the fundamentals of sensor technology and is able to choose independently and justifiably for broader machine automation applications. Copes with challenging sensor technology tasks independently. Can work actively in the group and develops the group's activities commendably.

Assessment scale

0-5

Teaching methods

Theory lessons in contact/distance sessions
Practical training and laboratory work in small groups
Self-learning

Learning materials

Course material
WSOY: Automaatiojärjestelmien ohjauslaitteet
WSOY: Automaatiojärjestelmien pneumatiikka ja hydrauliikka
Introduction to mechatronics and measurements systems, David Alciator

Student workload

Theory lessons 20h/student, laboratory work and reports 60h/student, self studying 50h

Enrolment period

02.12.2021 - 11.01.2022

Timing

10.01.2022 - 01.05.2022

Credits

5 op

Mode of delivery

Contact teaching

Unit

Mechanical Engineering

Campus

TAMK Main Campus

Teaching languages
  • Finnish
Degree programmes
  • Degree Programme in Mechanical Engineering
Teachers
  • Ville Jouppila
  • Mikko Korpela
Person in charge

Ville Jouppila

Groups
  • 20I112B

Objectives (course unit)

The student knows the sensors and their operating principles that are essential for machine automation. The student masters practical electrical and electromechanical components and their connections to control devices such as logic and microcomputer. The student is able to locate system failures caused by the sensor. The student will be able to choose and acquire a cost-effective, high quality and suitable sensor for machine automation for the most common applications. The student is able to utilize machine vision in machine automation applications. The student understands the importance of sustainable development when designing automation applications.

Content (course unit)

Basic concepts, presence detection, detection of high limits, detection, machine vision, fundamentals of image processing, distance measurement, measurement of displacement and rotation angle, tolerance control, speed measurement, acceleration and force measurement: sensor principles (piezoelectric, strain gauge, inductive, capacitive), typical characteristics of sensors, typical characteristics of sensors Wheatstone Bridge, Coupling Effect, Temperature Compensation, Measuring Factors, Error Sources, Laboratory Measurement, and Getting to Know the Technical Documentation of the Devices. Linear motion components, synchronization, rotary and rotational components, seals, electromechanical components.

Assessment criteria, satisfactory (1-2) (course unit)

The student is able to master the fundamentals of sensor technology and is able to choose assisted sensing for a simple machine automation application. Copes with simple tasks independently. Can work in a group.

Assessment criteria, good (3-4) (course unit)

The student is well versed in the basics of sensor technology and is able to independently and reasonably choose sensing for typical machine automation applications. Copes with typical sensor technology tasks independently. Can work actively and constructively in the group.

Assessment criteria, excellent (5) (course unit)

The student masters the fundamentals of sensor technology and is able to choose independently and justifiably for broader machine automation applications. Copes with challenging sensor technology tasks independently. Can work actively in the group and develops the group's activities commendably.

Assessment scale

0-5

Teaching methods

Theory lessons in contact/distance sessions
Practical training and laboratory work in small groups
Self-learning

Learning materials

Course material
WSOY: Automaatiojärjestelmien ohjauslaitteet
WSOY: Automaatiojärjestelmien pneumatiikka ja hydrauliikka
Introduction to mechatronics and measurements systems, David Alciator

Student workload

Theory lessons 20h/student, laboratory work and reports 60h/student, self studying 50h

Enrolment period

02.12.2021 - 11.01.2022

Timing

10.01.2022 - 01.05.2022

Credits

5 op

Mode of delivery

Contact teaching

Unit

Mechanical Engineering

Campus

TAMK Main Campus

Teaching languages
  • Finnish
Degree programmes
  • Degree Programme in Mechanical Engineering
Teachers
  • Ville Jouppila
  • Mikko Korpela
Person in charge

Ville Jouppila

Groups
  • 20I112C

Objectives (course unit)

The student knows the sensors and their operating principles that are essential for machine automation. The student masters practical electrical and electromechanical components and their connections to control devices such as logic and microcomputer. The student is able to locate system failures caused by the sensor. The student will be able to choose and acquire a cost-effective, high quality and suitable sensor for machine automation for the most common applications. The student is able to utilize machine vision in machine automation applications. The student understands the importance of sustainable development when designing automation applications.

Content (course unit)

Basic concepts, presence detection, detection of high limits, detection, machine vision, fundamentals of image processing, distance measurement, measurement of displacement and rotation angle, tolerance control, speed measurement, acceleration and force measurement: sensor principles (piezoelectric, strain gauge, inductive, capacitive), typical characteristics of sensors, typical characteristics of sensors Wheatstone Bridge, Coupling Effect, Temperature Compensation, Measuring Factors, Error Sources, Laboratory Measurement, and Getting to Know the Technical Documentation of the Devices. Linear motion components, synchronization, rotary and rotational components, seals, electromechanical components.

Assessment criteria, satisfactory (1-2) (course unit)

The student is able to master the fundamentals of sensor technology and is able to choose assisted sensing for a simple machine automation application. Copes with simple tasks independently. Can work in a group.

Assessment criteria, good (3-4) (course unit)

The student is well versed in the basics of sensor technology and is able to independently and reasonably choose sensing for typical machine automation applications. Copes with typical sensor technology tasks independently. Can work actively and constructively in the group.

Assessment criteria, excellent (5) (course unit)

The student masters the fundamentals of sensor technology and is able to choose independently and justifiably for broader machine automation applications. Copes with challenging sensor technology tasks independently. Can work actively in the group and develops the group's activities commendably.

Assessment scale

0-5

Teaching methods

Theory lessons in contact/distance sessions
Practical training and laboratory work in small groups
Self-learning

Learning materials

Course material
WSOY: Automaatiojärjestelmien ohjauslaitteet
WSOY: Automaatiojärjestelmien pneumatiikka ja hydrauliikka
Introduction to mechatronics and measurements systems, David Alciator

Student workload

Theory lessons 20h/student, laboratory work and reports 60h/student, self studying 50h