Abstract
This article deals with the creation of a digital twin for an experimental assembly system based on a belt conveyor system and an automatized line for quality production check. The point of interest is a Bowden holder assembly from a 3D printer, which consists of a stepper motor, plastic components, and some fastener parts. The assembly was positioned in a fixture with ultra high frequency (UHF) tags and internet of things (IoT) devices for identification of status and position. The main task was parts identification and inspection, with the synchronization of all data to a digital twin model. The inspection system consisted of an industrial vision system for dimension, part presence, and errors check before and after assembly operation. A digital twin is realized as a 3D model, created in CAD design software (CDS) and imported to a Tecnomatix platform to simulate all processes. Data from the assembly system were collected by a programmable logic controller (PLC) system and were synchronized by an open platform communications (OPC) server to a digital twin model and a cloud platform (CP). Digital twins can visualize the real status of a manufacturing system as 3D simulation with real time actualization. Cloud platforms are used for data mining and knowledge representation in timeline graphs, with some alarms and automatized protocol generation. Virtual digital twins can be used for online optimization of an assembly process without the necessity to stop that is involved in a production line.
Highlights
Introduction and Relevant Previous WorksThe Industry 4.0 concept is referred to as the fourth industrial revolution and is the current trend in automation, monitoring, and data mining from manufacturing processes
Identification systems used in manufacturing based on ultra high frequency (UHF) RFID devices cannot be used for FFviAieggruluylrrdesema22t0a0a.l.la((apca)qa)rIuIotoisTsT,ibtddieoaactntaaautfefsrrecoohmtmhneoMMltoaEEggMMiseSiSsz,sesweeinnshssloioicmrrh((iawtaeccdcecerebleleeyrirnaaattnieiotogennnr))anitinanedlTTehnihnigintntoghge.etrhRr eIFIOOIeDxppprllaeeatartffidoomerrmrmesn;;wt((abbol))rakqqsiuusnaeaglmliiwttybyiltssyhiiggslnonyawasltlem for mimfdroeeonqniutittioeofnrircicinanygtgi(obLbnyyF)G(GRorrraFafIhfaDainngahat.a. fgrse)qaunendciyn(sHpeFc)ttiaognsthheayvearteheir ownnloitmpitraimtioarnisly, wdehvicehlopmeudsftobreinsodluvsetrdiablepfoartes d(mataainislystfoorretdheinftoooadcilnoduudstpryla)tafonrdmt.hey reach lower 5
All data acquisition technologies, which were integrated into the experimental assembly system for identification (RFID tags) and inspection have their own limitations, which must be solved before data is stored into a cloud platform
Summary
Introduction and Relevant Previous WorksThe Industry 4.0 concept is referred to as the fourth industrial revolution and is the current trend in automation, monitoring, and data mining from manufacturing processes. The main tasks are digitization of data, analysis, and knowledge extraction. In these areas many papers have been published with research results aimed towards the use of cyber-physical systems within the Industry 4.0 concept, big data processing [2], and the combination of CPS with. The task of the Industry 4.0 concept is product customization, because current customers want unique products. This requirement is a big challenge for the Industry 4.0 concept to ensure production with minimal cost and high customization
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