Optimizing Industrial Processes through Digital Twin Simulation in a Didactic Manufacturing Plant
Resumo
This paper showcases a project employing a didactic manufacturing plant to embody the concept of a Digital Twin and optimize industrial processes. The plant, which simulates an industrial process, includes components like pistons, conveyor belts, and a robotic arm. The Digital Twin is crafted using Unity 3D, a robust platform for developing virtual reality applications. The project concentrates on two operational modes: Digital Shadow Mode, emulating real-time operation through external sensors, and Simulation Mode, facilitating the enhancement and optimization of production parameters. An iterative algorithm is devised to automatically tweak operational parameters, boosting efficiency. The results affirm the efficacy of the Digital Twin approach in optimizing industrial processes.
Palavras-chave:
Digital Twin, simulation, optimization, industrial processes, virtual reality, Unity 3D
Referências
BERARDINUCCI, Francesco er al.A learning workflow based on an integrated digital toolkit to support education in manufacturing system engineering. Journal of Manufacturing Systems, v. 63, p.411-423, 2022
MAO, Haoyang; LIU, Chan. Adaptive disassembly sequence planning for VR maintenance training via deep reinforcement learning. The International Journal of Advanced Manufacturing Technology, p. 1-10, 2021.
BOYES, Hugh; WATSON, Tim. Digital Twins: An analysis framework and open issues. Computers in Industry, v. 143, p. 103763, 2022.
WANG, Tiexin et al. Simplexity testbed: A model-based digital twin testbed. Computers in Industry, v. 145, p. 103804, 2023.
PERNO, Matteo; HVAM, Lars; HAUG, Anders. Implementation of digital twins in the process industry: A systematic literature review of enablers and barriers. Computers in Industry,v.134, p. 103558, 2022.
MAO, Haoyang; LIU, Chan. Adaptive disassembly sequence planning for VR maintenance training via deep reinforcement learning. The International Journal of Advanced Manufacturing Technology, p. 1-10, 2021.
BOYES, Hugh; WATSON, Tim. Digital Twins: An analysis framework and open issues. Computers in Industry, v. 143, p. 103763, 2022.
WANG, Tiexin et al. Simplexity testbed: A model-based digital twin testbed. Computers in Industry, v. 145, p. 103804, 2023.
PERNO, Matteo; HVAM, Lars; HAUG, Anders. Implementation of digital twins in the process industry: A systematic literature review of enablers and barriers. Computers in Industry,v.134, p. 103558, 2022.
Publicado
06/11/2023
Como Citar
GUIMARÃES, João F. R.; GAUDIO, Mateus; CARVALHO, Gabriel; ANDREÃO, Rodrigo; RIBEIRO, Saulo; FERREIRA, Ramon; RIBEIRO, Maria; ZAGO, Gabriel.
Optimizing Industrial Processes through Digital Twin Simulation in a Didactic Manufacturing Plant. In: SIMPÓSIO DE REALIDADE VIRTUAL E AUMENTADA (SVR), 25. , 2023, Rio Grande/RS.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2023
.
p. 223–227.
