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
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