Digital Twin: Applying emulation for machine reconditioning

Ayani, Mikel; Ganebäck, Maria; Ng, Amos H. C.

doi:10.1016/j.procir.2018.03.139

Cited by 96 publications

(58 citation statements)

References 6 publications

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“…• Improved recycling and recondition as the Digital Twin contains the material and assembly instructions required for complete disassembly and repair (Ayani et al (2018)) The twinning process begins with either a virtual or physical artefact with the process itself the transition between the virtual-to-physical (via realisation methods) or physical-to-virtual (through metrology). Table 1 providing the definitions for each stage.…”

Section: Iced19mentioning

confidence: 99%

Early Stage Digital Twins for Early Stage Engineering Design

Jones¹,

Snider²,

Kent³

et al. 2019

Proc. Int. Conf. Eng. Des.

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While extensive modelling - both physical and virtual - is imperative to develop right-first-time products, the parallel use of virtual and physical models gives rise to two interrelated issues: the lack of revision control for physical prototypes; and the need for designers to manually inspect, measure, and interpret modifications to either virtual or physical models, for subsequent update of the other. The Digital Twin paradigm addresses similar problems later in the product life-cycle, and while these digital twins, or the “twinning” process, have shown significant value, there is little work to date on their implementation in the earlier design stages. With large prospective benefits in increased product understanding, performance, and reduced design cycle time and cost, this paper explores the concept of using the Digital Twin in early design, including an introduction to digital twinning, examination of opportunities for and challenges of their implementation, a presentation of the structure of Early Stage Twins, and evaluation via two implementation cases.

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Section: Iced19mentioning

confidence: 99%

Early Stage Digital Twins for Early Stage Engineering Design

Jones¹,

Snider²,

Kent³

et al. 2019

Proc. Int. Conf. Eng. Des.

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“…The model approach is based on a set of different models to represent the structure, the behaviour and the interactions of a physical system to be monitored or predicted [13] [14]. There are various models focusing on the representation of different characteristics of the reality here a not exhaustive list of the most studied and used: • A geometric model defines shapes, sizes, positions and it assemblies the relations of machine components [15]. It reflects the geometry, the kinematics, the logic and the interfaces of the real system [16].…”

Section: State Of Artmentioning

confidence: 99%

Data-Driven Pattern-Based Constructs Definition for the Digital Transformation Modelling of Collaborative Networked Manufacturing Enterprises

Semeraro

Lezoche

Panetto

et al. 2019

IFIP Advances in Information and Communication Technology

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The digital transformation of collaborative networked manufacturing enterprises requires building and applying digital models representing the set of resources and processes knowledge. Modelling such digital copy of the physical system to perform real-time validation and optimization is quite complex and thus needs a big amount of data and some modelling patterns representing the operational semantics of the modelled elements. Generally, the modelling action has a specific application type. For this reason, the core challenge of the digital transformation modelling is to create a modular "digital model", namely a decomposable and re-composable model, towards different applications. The authors propose an approach based on the combination of data-driven and modeldriven approaches, to identify and formalize modelling patterns, that combine for developing a modular executable model of the studied system.

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“…Ayani et al [7] discuss digital twin modelling by using Simumatik3D® library which allows to reflect the geometry, kinematics, logic and interfaces of the digital twin's real analogue.…”

Section: Analysis Of Recent Researches and Publicationsmentioning

confidence: 99%

Digital twin information technology for biomedical data complex representation and processing

Dychka¹,

Sulema²,

Bukhtiiarov³

2019

Вісник Херсонського національного технічного університету

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The paper presents an information technology of digital twin for implementation in healthcare, in particular in e-health and m-health applications. The primary objective of this research is to develop a concept of digital twin information technology for medical decision support systems. The second objective is to analyse various medical data formats and to develop an approach to synchronization of multimodal medical data. The approach proposed in the paper will enable aggregation of multimodal data sequences obtained from a wide range of medical diagnostic equipment with the purpose of a patient's digital twin creation. The paper presents an analysis of data synchronization possibility and data representation formats for both single-channel and multi-channel biological signals, results of such investigations as blood tests, ultrasound research, magnetic resonance imaging etc. Digital twin technology will enable development of a new generation of medical decision support systems. A digital twin of a patient is a synchronized and aggregated multimodal data set obtained from a wide range of diagnostic medical equipment which is continuously updated and based on a personalized semantic modal of a patient. Since data are obtained from different medical devices and tools in various formats which directly do not fit for data synchronization and aggregation, the format of a file-wrapper that enables storing time characteristics of medical investigations (time stamps) in an evident form. It allows us to simplify a procedure of multimodal data aggregation while creating and continuous updating the digital twin of a patient. The process of digital twin forming includes the following stages: receiving of original data files in a device format (sonographic device, MRI scanner, electrocardiograph etc.), analysis of data and their time stamps, transformation of the original file to the format of a file-wrapper, data synchronization and aggregation, representation of multimodal data in a digital twin format for further storing and processing.

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Digital Twin: Applying emulation for machine reconditioning

Cited by 96 publications

References 6 publications

Early Stage Digital Twins for Early Stage Engineering Design

Early Stage Digital Twins for Early Stage Engineering Design

Data-Driven Pattern-Based Constructs Definition for the Digital Transformation Modelling of Collaborative Networked Manufacturing Enterprises

Digital twin information technology for biomedical data complex representation and processing

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