Digital twin: current scenario and a case study on a manufacturing process

Roy, Rohan Basu; Mishra, Debasish; Pal, Surjya K.; Chakravarty, Tapas; Panda, Satanik; Chandra, M. Girish; Pal, Arpan; Misra, Prateep; Chakravarty, Debashish; Misra, Sudip

doi:10.1007/s00170-020-05306-w

Cited by 92 publications

(38 citation statements)

References 51 publications

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“…The digital twins must represent both the product and the production system. As stated in [17], multi-scale analyses and distributed decisions will be required for optimizing the activities on the shop floor, as well as processes, resources, and machines. In many cases, digital twins will be interlinked.…”

Section: Digital Twin Framework For Geometry Assurancementioning

confidence: 99%

Digital Twin for Variation Management: A General Framework and Identification of Industrial Challenges Related to the Implementation

et al. 2020

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Digital twins have gained a lot of interest in recent years. This paper presents a survey among researchers and engineers with expertise in variation management confirming the interest of digital twins in this area. The survey shows, however, a gap between future research interest in academia and industry, identifying a larger need in industry. This indicates that there are some barriers in the industry to overcome before the benefits of a digital twin for variation management and geometry assurance can be fully capitalized on in an industrial context. To identify those barriers and challenges, an extensive interview study with engineers from eight different companies in the manufacturing sectors was accomplished. The analysis identifies industrial challenges in the areas of system-level, simulation working process, management issues, and education. One of the main challenges is to keep the 3D models fully updated, including keeping track of changes during the product development process and also feedback changes during full production to the development engineers. This is a part of what is called the digital thread, which is also addressed in this paper.

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Section: Digital Twin Framework For Geometry Assurancementioning

confidence: 99%

Digital Twin for Variation Management: A General Framework and Identification of Industrial Challenges Related to the Implementation

et al. 2020

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“…The great advantage of DTW is its virtual representation (i.e., model) of a physical product. This can pave a way not only for the integration of virtual and physical data, but also for the modelling, prediction and transition of processes and tasks between each of those lifecycle phases based on information from both physical and virtual worlds [33][34][35][36]. Given the increasing model-driven data across many industries, a new Model based System Engineering (MBSE) approach was introduced.…”

Section: Integration Of a Model-based Systems Engineering (Mbse) Apprmentioning

confidence: 99%

Developing a Digital Twin and Digital Thread Framework for an ‘Industry 4.0’ Shipyard

Pang¹,

Restrepo²,

Cheng³

et al. 2020

Preprint

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This paper provides an overview of the current state-of-the-art digital twin and digital thread technology in industrial operations. Both are transformational technologies that have the advantage of improving the efficiency of current design and manufacturing. Digital twin is an important element of the Industry 4.0 digitalization process; however, the huge amount of data that are generated and collected by digital twin offer challenges in handling, processing and storage. The paper aims to report on the development of a new framework that combines the digital twin and digital thread for better data management in order to drive innovation, improve the production process and performance, and to ensure continuity and traceability of information. The digital twin/thread framework incorporated behavior simulation and physical control components, in which these two components rely on the connectivity between the twin and thread for information flow and exchange to drive innovation. The twin/thread framework encompasses specifications that include organizational architecture layout, security, user access, cloud computing set-up, and hardware and software requirements. It is envisaged that the framework will be applicable to enhancing optimization of operational processes and traceability of information in the physical world, especially in Industry Shipyard 4.0.

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“…Digital Twin (DT) concept deals with this physical/digital duet [3][4][5][6]. "A digital twin is a digital representation of an active unique product … that comprises its selected characteristics, properties, conditions, and behaviors by means of models, information, and data within a single or even across multiple life cycle phases" [7].…”

Section: Introductionmentioning

confidence: 99%

Closed-Loop Digital Twin for the Product Lifecycle

Durão

Zancul

Schützer

2021

Preprint

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Digital Twin advances have provided the conceptual ground for integrating a physical product with its digital representation. However, Digital Twin implementation has been focused on the beginning of life and manufacturing optimization, leaving space for developing a Digital Twin model that encompasses and connects different stages of the entire product lifecycle. In this scenario, the integration between company-internal data with real-time customers' data is still a challenge. Besides, implementing such a model in a multiplatform environment is also an open issue in the literature. This paper proposes the definition of a Closed-loop Digital Twin implemented as a middleware software that connects PLM, ERP, and MES data with customers' usage data. The proposed concept was implemented and tested in a learning factory. Results demonstrated the concept potential to consolidate product data, support data analyses, and provide insights for different stages of the product lifecycle.

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Digital twin: current scenario and a case study on a manufacturing process

Cited by 92 publications

References 51 publications

Digital Twin for Variation Management: A General Framework and Identification of Industrial Challenges Related to the Implementation

Digital Twin for Variation Management: A General Framework and Identification of Industrial Challenges Related to the Implementation

Developing a Digital Twin and Digital Thread Framework for an ‘Industry 4.0’ Shipyard

Closed-Loop Digital Twin for the Product Lifecycle

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