Virtual Commissioning of a Robotic Cell Prior to its Implementation Into a Real Flexible Production System.: Generation of the Robot Offline Programming (OLP) and Validation of the PLC Code

Ružarovský Roman (), Holubek Radovan () and Delgado Sobrino Daynier Rolando ()
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Ružarovský Roman: Slovak University of Technology in Bratislava, Faculty of Materials Science and Technology in Trnava, Institute of Production Technologies, Ulica Jána Bottu 2781/25, 917 24Trnava, Slovak Republic
Holubek Radovan: Slovak University of Technology in Bratislava, Faculty of Materials Science and Technology in Trnava, Institute of Production Technologies, Ulica Jána Bottu 2781/25, 917 24Trnava, Slovak Republic
Delgado Sobrino Daynier Rolando: Slovak University of Technology in Bratislava, Faculty of Materials Science and Technology in Trnava, Institute of Production Technologies, Ulica Jána Bottu 2781/25, 917 24Trnava, Slovak Republic

Research Papers Faculty of Materials Science and Technology Slovak University of Technology, 2018, vol. 26, issue 42, 93-101

Abstract: With the rise of the Industry 4.0 and the digitization increase in the field of design of the automated devices and systems, raises the requirements to digitize all stages of the design processes, including Virtual Commissioning. This technology allows to verify the functionality of the device and/or systems, generate OLP programs for robots and test the functionality of the PLC code on the virtual model. The article presents research into the possibility of implementing a robotic cell into a real flexible production system in the Laboratory in order to eliminate defective products after an automatic control through the Quality-handling station. This technology was verified on the basis of a methodology through a virtual system model and a virtual control system in the Software-in-Loop using the Siemens Tecnomatix Process Simulate software.

Keywords: Virtual Commissioning; Production System; Robotics; OLP; PLC; Process Simulate (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:repfms:v:26:y:2018:i:42:p:93-101:n:11

DOI: 10.2478/rput-2018-0011

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