MEI-56206 Production Automation Exercises, 5 cr
Vastuuhenkilö
Niko Siltala, Jyrki Latokartano
Opetus
| Toteutuskerta | Periodi | Vastuuhenkilö | Suoritusvaatimukset |
| MEI-56206 2018-01 | 3 - 4 |
Jyrki Latokartano Niko Siltala |
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. |
Osaamistavoitteet
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.
Sisältö
| Sisältö | Ydinsisältö | Täydentävä tietämys | Erityistietämys |
| 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. | Visual interface design | Student can make an inferface for automation process chain | |
| 4. | Students get familiar with sensors and actuators of automation used in discrete manufacturing industry. | ||
| 5. | Machine vision programming. Student understands the basics of using machine vision in robot application. | Student can program a simple machine vision application. |
Ohjeita opiskelijalle osaamisen tasojen saavuttamiseksi
The course is completed when exercises and laboratory works are successfully carried out.
Arvosteluasteikko:
Evaluation scale passed/failed will be used on the course
Osasuoritukset:
Oppimateriaali
| Tyyppi | Nimi | Tekijä | ISBN | URL | Lisätiedot | Tenttimateriaali |
| Other literature | Specification of each laboratory work | No | ||||
| Online book | IEC 61131-3: Programming Industrial Automation Systems | Karl Heinz John, Michael Tiegelkamp | 978-3-642-12015-2 | DOI: 10.1007/978-3-642-12015-2 Available in TUT network. | No |
Esitietovaatimukset
| Opintojakso | P/S | Selite |
| MEI-51006 Digital Manufacturing 1 | Mandatory | |
| MEI-51016 Digital Manufacturing 2 | Mandatory | |
| MEI-56006 Production Automation Planning | Mandatory | |
| MEI-56606 Machine Vision | Advisable |
Vastaavuudet
Opintojakso ei vastaan mitään toista opintojaksoa