Digital Twin for Factory System Simulation
K. Vijayakumar1, C. Dhanasekaran2, R. Pugazhenthi3, S. Sivaganesan4
1K. Vijayakumar, P.G. Student, Department of Mechanical Engineering, Vels Institute of Science, Technology & Advanced Studies, Chennai (Tamil Nadu), India.
2C. Dhanasekaran, Professor, Department of Mechanical Engineering, Vels Institute of Science, Technology & Advanced Studies, Chennai (Tamil Nadu), India.
3R. Pugazhenthi, Professor, Department of Mechanical Engineering, Vels Institute of Science, Technology & Advanced Studies, Chennai (Tamil Nadu), India.
4S. Sivaganesan, Associate Professor, Department of Mechanical Engineering, Vels Institute of Science, Technology & Advanced Studies, Chennai (Tamil Nadu), India.
Manuscript received on 19 May 2019 | Revised Manuscript received on 05 June 2019 | Manuscript Published on 15 June 2019 | PP: 63-68 | Volume-8 Issue-1S2 May 2019 | Retrieval Number: A00130581S219/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In the early days, building a manufacturing facility requires a lot of people to work at that facility. With the advent of CAD/CAE/CAM Softwares and high power computers, facility layout can be planned and engineered from a remote location. Manufacturing facilities undergo a lot of changes due to change in customer requirements, government regulations, safety standards, the complexity of products and process improvisation. It becomes indispensable to keep manufacturing facility digitally updated for upfront simulations and to capture facility change requirements caused by product variations. In the current methodology, it takes a significant amount of time and cost to keep manufacturing facility digitally updated. Digital Twin is an emerging technology that nowadays almost all consumer goods, airplanes, manufacturing plants, oil refineries, transportation networks, and even entire cities are having the potential to have Digital Twin of its own. This paper suggesting a methodology to apply Digital Twin to a manufacturing facility for keeping the model updated and simulated in real time. Real Time Location Sensing (RTLS) technology with transmitter tags, receiver nodes, and gateways (IOT) deployed at the facility. Manage transformation matrix for each asset in the Digital manufacturing facility at PLM/CAD software. The Discrete Event Simulation tool is integrated into PLM to run model directly from PLM in real time. Tags attached to each physical asset sends a signal to the receiver when asset movement or orientation occurs at the physical facility, Tags attached to each asset sends a signal to the receiver. The receiver sends pre-processed information to a gateway which acts as an edge device to process and converts those signals as transformation matric which gets synced to PLM system. Now digital manufacturing facility is up-to-date. Any facility change requirement can do in this digital model and simulated in real time for the quickest decision. The time factor has been compared with this new digital twin methodology and conventional methodology and discussed the results.
Keywords: Digital Twin, Internet of Things, Object Linking and Embedding, Real-Time Location Sensing, Simulation.
Scope of the Article: Mechanical Maintenance