Study Guide 2015-2016

MEI-56206 Production Automation Exercises, 5 cr

Person responsible

Jorma Vihinen

Lessons

Implementation 1: MEI-56206 2015-01

Study type P1 P2 P3 P4 Summer
Lectures
Excercises
Assignment
Laboratory work




 




 
 4 h/per
 20 h/per
 2 h/per
 5 h/per



+10 h/per




 

Lecture times and places: Monday 16 - 18 , Monday 16 - 18 K1241

Requirements

The laboratory works are independently performed in 2-3 student groups. The pre-commentary, the actual work and commentary are connected to work. Completion parts must belong to the same implementation.
Completion parts must belong to the same implementation

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.   Student can resolve complicated PLC tasks with different logic programming language. Student understands applicability of state models.  Student has good capability to apply PLC technology to practical problems.  
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.      

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

Last modified 18.12.2015