Digital Twins: Past, Present, and Future

Grieves, Michael W.

doi:10.1007/978-3-031-21343-4_4

Cited by 59 publications

(19 citation statements)

References 14 publications

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“…This interconnectedness enables real-time operation and mutual control between the physical and virtual prototypes. Introduced initially by Michael Grieves at the turn of the 21st century [14], DT has progressed through numerous scholarly contributions. Scholars investigate various angles, including frameworks, innovative tools, and software applications, mirroring this study's goal to introduce a practical approach to implementing digital twins.…”

Section: Literature Reviewmentioning

confidence: 99%

A Digital Twin Approach to Support a Multi-task Industrial Robot Operation using Design of Experiments

Guerra-Zubiaga,

Santos,

Voicu

et al. 2023

Preprint

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The manufacturing industry recognizes drilling operations as a significant portion of production, often accounting for a substantial part of overall costs. In the transformative wave of Industry 4.0, new technologies have emerged, presenting remarkable opportunities to enhance machining processes. Thus,this study integrates digital twins (DT) technology to refine drilling operations. Within this framework, a robot actively executed drilling tasks, with the DT closely monitoring and regulating the drilling speed. This research further established a connectivity bridge that facilitates synchronizing the virtual system with the operational process. The article presents a Design of Experiments (DOE) in a virtual simulation space to analyze the impact of various parameters. This approach aimed to pinpoint the robot joints wielding the most significant influence on the comprehensive drilling operations sequence. The findings underscored that the J4 joint of the FANUC robot model M-16iB/20 stood out as a critical contributor to the process, influencing it by an impressive margin of 16%. This research demonstrates a promising avenue for harnessing digital twin technology to streamline and optimize manufacturing production, setting a precedent for future explorations in the field.

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Section: Literature Reviewmentioning

confidence: 99%

A Digital Twin Approach to Support a Multi-task Industrial Robot Operation using Design of Experiments

Guerra-Zubiaga,

Santos,

Voicu

et al. 2023

Preprint

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“…The evolution of these methods began with manual drawings and specifications, then gradually progressed to computer-aided design and finally to model-based system design. Over time, these "ideological twins" transformed into sets of mathematical models, describing real-world objects or their individual properties with varying degrees of accuracy [48]. The digital twin concept allows for the creation of a virtual image or a digital representation of real-world equipment, devices, or systems, ensuring maximum synchronization between the real and virtual worlds.…”

Section: Digital Representation As a Stage Of Creating A Digital Twinmentioning

confidence: 99%

Cross-Industry Principles for Digital Representations of Complex Technical Systems in the Context of the MBSE Approach: A Review

Bolshakov,

Badenko,

Yadykin

et al. 2023

Applied Sciences

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This scientific article discusses the process of digital transformation of enterprises, analyzed as complex technical systems. Digital transformation is essential for businesses to remain competitive in the global marketplace. One of the effective tools for such a transformation is model-based systems engineering (MBSE). However, there is a gap in the practical application of knowledge regarding the uniform principles for the formation of a digital representation of complex technical systems, which limits the realization of the cross-industry potential of digital transformation in the economy. The motivation for this study is to identify common cross-industry principles for the formation of digital representations of complex technical systems that can lead companies to a sustainable and successful digital transformation. The purpose of this work is to identify and formulate these principles through an analysis of publications, using an inductive approach and classifying them by the category of application. As a result of the study, 23 principles were obtained, and the degree of their use in various industries associated with complex technical systems was determined. The results of this study will help to solve the problem of cross-industry integration and guide systemic changes in the organization of enterprises during their digital transformation.

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“…10 Although both simulations and DTs use digital models to replicate different systems, a DT represents a virtual environment, significantly richer in features and data. 11,12 The difference between a DT and a simulation lies in scale. Simulations typically lack real-time data, while DTs have a bidirectional flow of data.…”

Section: Introductionmentioning

confidence: 99%

Integrated computational modeling of large format additive manufacturing: Developing a digital twin for material extrusion with carbon fiber-reinforced acrylonitrile butadiene styrene

Castelló-Pedrero,

García-Gascón,

Bas-Bolufer

et al. 2024

Proceedings of the Institution of Mechanical Engineers, Part L:

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Material extrusion (MEX) continues to be a pivotal additive manufacturing (AM) process, involving the selective heating and layer-by-layer deposition of material. However, conventional finite-element models (finite-element analysis) face limitations in accurately simulating the MEX process, highlighting the need for experimental validation. This paper highlights an advanced material modeling technology that streamlines the development of composite parts using large format AM (LFAM). It specifically focuses on a thermoplastic acrylonitrile butadiene styrene (ABS) matrix composite material enriched with 20% short carbon fibers. The study employs integrated computational materials engineering, integrating (i) the manufacturing process, (ii) the material’s microstructure, (iii) homogenization techniques, and (iv) the performance of the final part. The development of a digital twin for pellet extrusion is proposed, emphasizing the importance of micro-structure characterization to account for warpage and residual stresses that lead to part distortion. The demonstrator manufactured for this study is a wind turbine mold of a blade section. Experimental tests revealed an elastic modulus of 5.5 GPa and a hardening modulus of 2.4 GPa for the composite. The numerical microscopic model showed a 16% error in the elastic modulus compared to experimental results. The study concludes that the homogenization techniques are effective in predicting the elastic properties but lack accuracy in the plastic region. The application of the model to the LFAM process of pellet extrusion is demonstrated, with simulation results showing a maximum deformation close to the center of the wind turbine blade mold.

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Digital Twins: Past, Present, and Future

Cited by 59 publications

References 14 publications

A Digital Twin Approach to Support a Multi-task Industrial Robot Operation using Design of Experiments

A Digital Twin Approach to Support a Multi-task Industrial Robot Operation using Design of Experiments

Cross-Industry Principles for Digital Representations of Complex Technical Systems in the Context of the MBSE Approach: A Review

Integrated computational modeling of large format additive manufacturing: Developing a digital twin for material extrusion with carbon fiber-reinforced acrylonitrile butadiene styrene

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