MEI-56206 Production Automation Exercises, 5 cr
Person responsible
Jorma Vihinen
Learning Outcomes
The student can program and use the basic equipment of the discrete manufacturing automation in practice (sensors, actuators, logics, robotics, machine vision). In the end of the course students have a good understanding of the field of discrete manufacturing automation and she/he can use also the virtual design tools in practice.
Content
| Content | Core content | Complementary knowledge | Specialist knowledge |
| 1. | Logic programming (instruction list, ladder diagram, function block diagram, structured text, sequential function chart). Students can use basic functions to control digital inputs and outputs. They can use also timers, counters, word logic, comparison functions, etc. Basics of State Models. | Student can resolve complicated PLC tasks with different logic programming language. Student understands applicability of state models. Understanding of PackML (ISA TR88.00.02) in practice. | Student has good capability to apply PLC technology and State models to practical problems. Can utilise the PackML concepts. |
| 2. | Basic robot programming skills. Robot coordinates, movements, control of inputs and outputs. | Student can resolve complicated robot tasks. | Student has good capability to apply robot technology to practical problems. Student knows restrictions and potential of the robotics. |
| 3. | Machine vision programming. Student understands the basics of using machine vision in robot application. | Student can program a simple machine vision application. | |
| 4. | Visual interface design | Student can make an inferface for automation process chain | |
| 5. | Students get familiar with sensors and actuators of automation used in discrete manufacturing industry. |
Instructions for students on how to achieve the learning outcomes
The course is completed when exercises and laboratory works are successfully carried out.
Assessment scale:
Evaluation scale passed/failed will be used on the course
Partial passing:
Study material
| Type | Name | Author | ISBN | URL | Additional information | Examination material |
| Other literature | Specification of each laboratory work | No |
Prerequisites
| Course | Mandatory/Advisable | Description |
| MEI-51006 Digital Manufacturing 1 | Mandatory | |
| MEI-51016 Digital Manufacturing 2 | Mandatory | |
| MEI-56006 Production Automation Planning | Mandatory | |
| MEI-56606 Machine Vision | Advisable |
Correspondence of content
There is no equivalence with any other courses