Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues

Lu, Yuqian; Liu, Chao; Wang, Kevin I‐Kai; Huang, Huiyue; Xu, Xun

doi:10.1016/j.rcim.2019.101837

Cited by 775 publications

(277 citation statements)

References 45 publications

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“…An open-source package, OpenFOAM, based on FVM, has been widely used in CFD because one can customize solvers and easily extend the numerical libraries [110]. NASA defined digital twins (DT) as an integrated multiphysics, multiscale, probabilistic simulation of a system that uses the best available physical models and sensor updates to mirror the life of its flying twin [111]. Simulation tools such as CFD are a key aspect related to DT [112].…”

Section: Discussion Of Multiscale Cfd Simulationsmentioning

confidence: 99%

“…Lu et al (2020) [111] reviewed the recent development of DT for smart manufacturing in the context of Industry 4.0. DT, acting as a mirror of the real world, provides a smart tool for simulating, predicting, and optimizing physical manufacturing processes.…”

Section: Digital Twins With Cfdmentioning

confidence: 99%

“…DT, acting as a mirror of the real world, provides a smart tool for simulating, predicting, and optimizing physical manufacturing processes. Studies on standards, communication protocols, time-sensitive data processing, and the reliability of models need to be priorities for the next stage of research in DT [111].…”

Section: Digital Twins With Cfdmentioning

confidence: 99%

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Multiscale Eulerian CFD of Chemical Processes: A Review

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Lim

2020

ChemEngineering

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This review covers the scope of multiscale computational fluid dynamics (CFD), laying the framework for studying hydrodynamics with and without chemical reactions in single and multiple phases regarded as continuum fluids. The molecular, coarse-grained particle, and meso-scale dynamics at the individual scale are excluded in this review. Scoping single-scale Eulerian CFD approaches, the necessity of multiscale CFD is highlighted. First, the Eulerian CFD theory, including the governing and turbulence equations, is described for single and multiple phases. The Reynolds-averaged Navier–Stokes (RANS)-based turbulence model such as the standard k-ε equation is briefly presented, which is commonly used for industrial flow conditions. Following the general CFD theories based on the first-principle laws, a multiscale CFD strategy interacting between micro- and macroscale domains is introduced. Next, the applications of single-scale CFD are presented for chemical and biological processes such as gas distributors, combustors, gas storage tanks, bioreactors, fuel cells, random- and structured-packing columns, gas-liquid bubble columns, and gas-solid and gas-liquid-solid fluidized beds. Several multiscale simulations coupled with Eulerian CFD are reported, focusing on the coupling strategy between two scales. Finally, challenges to multiscale CFD simulations are discussed. The need for experimental validation of CFD results is also presented to lay the groundwork for digital twins supported by CFD. This review culminates in conclusions and perspectives of multiscale CFD.

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Section: Discussion Of Multiscale Cfd Simulationsmentioning

confidence: 99%

Section: Digital Twins With Cfdmentioning

confidence: 99%

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Multiscale Eulerian CFD of Chemical Processes: A Review

Ngo

Lim

2020

ChemEngineering

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“…The digital twin is used to reproduce a real, physically existing environment, process or single object. Its role is to map the main features of the physical object or process enabling simulation, prediction and optimization in the areas of system servicing [2,3], product design and manufacturing systems [4][5][6] and processes [7]. The main features of the digital twin, such as its form, upgradeability, the degree of precision with which it maps reality, and many others, depend on the purpose it serves [8].…”

Section: Digital Twinsmentioning

confidence: 99%

Programming of Industrial Robots Using Virtual Reality and Digital Twins

et al. 2020

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The article presents a method of programming robots using virtual reality and digital twins. The virtual environment is a digital twin of a robotic station, built based on CAD models of existing station elements. The virtual reality system is used to record human movements in a virtual environment, which are then reproduced by a real robot. The method developed is dedicated mainly to such situations in which it is necessary for the robot to reproduce the movements of a human performing a process that is complicated from the point of view of robotization. An example of using the method for programming a robot implementing the process of cleaning ceramic casting moulds is presented.

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“…Bilberg and Malik proposed a human-robot assembly system based on digital twin, which was used for industrial applications of variant assembly system to ensure the flexibility and automation of assembly [ 13 ]. Roy et al and Lu et al summarized the development achievements of digital twinning and pointed out the problems faced by the research of digital twinning of intelligent manufacturing [ 14 , 15 ]. Park et al and Leng et al apply the digital twin technology to the personalized production to increase the flexibility of the manufacturing system [ 16 , 17 ].…”

Section: Introductionmentioning

confidence: 99%

Quality Prediction and Control of Assembly and Welding Process for Ship Group Product Based on Digital Twin

Liu

et al. 2020

Scanning

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In view of the problems of lagging and poor predictability for ship assembly and welding quality control, the digital twin technology is applied to realize the quality prediction and control of ship group product. Based on the analysis of internal and external quality factors, a digital twin-based quality prediction and control process was proposed. Furthermore, the digital twin model of quality prediction and control was established, including physical assembly and welding entity, virtual assembly and welding model, the quality prediction and control system, and twin data. Next, the real-time data collection based on the Internet of Things and the twin data organization based on XML were used to create a virtual-real mapping mechanism. Then, the machine learning technology is applied to predict the process quality of ship group products. Finally, a small group is taken as an example to verify the proposed method. The results show that the established prediction model can accurately evaluate the welding angular deformation of group products and also provide a new idea for the quality control of shipbuilding.

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Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues

Cited by 775 publications

References 45 publications

Multiscale Eulerian CFD of Chemical Processes: A Review

Multiscale Eulerian CFD of Chemical Processes: A Review

Programming of Industrial Robots Using Virtual Reality and Digital Twins

Quality Prediction and Control of Assembly and Welding Process for Ship Group Product Based on Digital Twin

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