TY - GEN
T1 - A small-scale implementation of industry 4.0
AU - Aqlan, Faisal
AU - Alabsi, Mohammed
AU - Baxter, Ethan
AU - Ramakrishnan, Sreekanth
N1 - Funding Information:
This research is funded by the National Science Foundation award #1711603: RET Site in Manufacturing Simulation and Automation. Any opinions, findings, or conclusions found in this paper are those of the authors and do not necessarily reflect the views of the sponsor. The authors would like to thank the following individuals who contributed to the project: Bradley Nulsen, Andrew DeVarney, Petar Dotchev, Anthony Klejna, and Hassiba Makour.
Publisher Copyright:
© Proceedings of the 2020 IISE Annual. All Rights Reserved.
PY - 2020
Y1 - 2020
N2 - This paper discusses the implementation of Industry 4.0 in an educational setting. Simulation, virtual reality, analytics, robotics and automation, and 3D printing are integrated to develop a small-scale production line for producing and inspecting 3D printed parts. The system consists of a robot and controller, programmable logic controller, 3D printer, machine vision system, conveyor belt, 3-phase motor and motor controller, webcam, PC and monitor, Raspberry Pi computer, pneumatic system, beam sensor, simulation software, and VR equipment. The system components are connected via ethernet cables running to a basic ethernet switch. An ethernet router is also connected to the switch to resolve IP connection attempts by the connected components. A mini CNC machine is used to drill holes on small metal parts that are assembled with 3D printed parts and plastic bricks to make a car toy. A robot is pre-programmed to perform the assembly of the car toy and a Cognex® camera is used to inspect the parts. Deep learning models are used to predict the remaining useful life of the drilling bits.
AB - This paper discusses the implementation of Industry 4.0 in an educational setting. Simulation, virtual reality, analytics, robotics and automation, and 3D printing are integrated to develop a small-scale production line for producing and inspecting 3D printed parts. The system consists of a robot and controller, programmable logic controller, 3D printer, machine vision system, conveyor belt, 3-phase motor and motor controller, webcam, PC and monitor, Raspberry Pi computer, pneumatic system, beam sensor, simulation software, and VR equipment. The system components are connected via ethernet cables running to a basic ethernet switch. An ethernet router is also connected to the switch to resolve IP connection attempts by the connected components. A mini CNC machine is used to drill holes on small metal parts that are assembled with 3D printed parts and plastic bricks to make a car toy. A robot is pre-programmed to perform the assembly of the car toy and a Cognex® camera is used to inspect the parts. Deep learning models are used to predict the remaining useful life of the drilling bits.
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M3 - Conference contribution
AN - SCOPUS:85105664000
T3 - Proceedings of the 2020 IISE Annual Conference
SP - 664
EP - 669
BT - Proceedings of the 2020 IISE Annual Conference
A2 - Cromarty, L.
A2 - Shirwaiker, R.
A2 - Wang, P.
PB - Institute of Industrial and Systems Engineers, IISE
T2 - 2020 Institute of Industrial and Systems Engineers Annual Conference and Expo, IISE 2020
Y2 - 1 November 2020 through 3 November 2020
ER -