Digital Twin in Aerospace Industry: A Gentle Introduction

Digital twin (DT), primarily a virtual replica of any conceivable physical entity, is a highly transformative technology with profound implications. Whether it be product development, design optimisation, performance improvement, or predictive maintenance, digital twins are changing the ways work is...

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Main Authors: Luning Li, Sohaib Aslam, Andrew Wileman, Suresh Perinpanayagam
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9656111/
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author Luning Li
Sohaib Aslam
Andrew Wileman
Suresh Perinpanayagam
author_facet Luning Li
Sohaib Aslam
Andrew Wileman
Suresh Perinpanayagam
author_sort Luning Li
collection DOAJ
description Digital twin (DT), primarily a virtual replica of any conceivable physical entity, is a highly transformative technology with profound implications. Whether it be product development, design optimisation, performance improvement, or predictive maintenance, digital twins are changing the ways work is undertaken in various industries with multifarious business applications. Aerospace industry, including its manufacturing base, is one such keen adopter of digital twins with an unprecedented interest in their bespoke design, development, and implementation across wider operations and critical functions. This, however, comes with some misconceptions about the digital twin technology and lack of understanding with respect to its optimal implementation. For instance, equating a digital twin to an intelligent model while ignoring the essential components of data acquisition and visualisation, misleads the creators into building digital shadow or digital models, instead of the actual digital twin. This paper unfolds such intricacies of digital twin technology for the aerospace community in particular and others in general so as to remove the fallacies that affect their effective realisation for safety-critical systems. It comprises a comprehensive survey of digital twins and their constituent elements. Elaborating their characteristic state-of-the-art composition along with corresponding limitations, three dimensions of the future digital twins for the aerospace sector, termed as aero-Digital Twins (aero-DTs), are proposed as an outcome of this survey. These include the interactive, standardisation, and cognitive dimensions of digital twins, which if leveraged diligently could help the aero-DT research and development community quadruple the efficiency of existing and future aerospace systems as well as their associated processes.
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spelling doaj.art-2b21377c11a94a9b9b289f920493c8672022-12-21T21:35:59ZengIEEEIEEE Access2169-35362022-01-01109543956210.1109/ACCESS.2021.31364589656111Digital Twin in Aerospace Industry: A Gentle IntroductionLuning Li0https://orcid.org/0000-0003-2375-2259Sohaib Aslam1https://orcid.org/0000-0001-8769-2828Andrew Wileman2Suresh Perinpanayagam3https://orcid.org/0000-0003-0942-1162IVHM Centre, Cranfield University, Bedfordshire, U.K.IVHM Centre, Cranfield University, Bedfordshire, U.K.IVHM Centre, Cranfield University, Bedfordshire, U.K.IVHM Centre, Cranfield University, Bedfordshire, U.K.Digital twin (DT), primarily a virtual replica of any conceivable physical entity, is a highly transformative technology with profound implications. Whether it be product development, design optimisation, performance improvement, or predictive maintenance, digital twins are changing the ways work is undertaken in various industries with multifarious business applications. Aerospace industry, including its manufacturing base, is one such keen adopter of digital twins with an unprecedented interest in their bespoke design, development, and implementation across wider operations and critical functions. This, however, comes with some misconceptions about the digital twin technology and lack of understanding with respect to its optimal implementation. For instance, equating a digital twin to an intelligent model while ignoring the essential components of data acquisition and visualisation, misleads the creators into building digital shadow or digital models, instead of the actual digital twin. This paper unfolds such intricacies of digital twin technology for the aerospace community in particular and others in general so as to remove the fallacies that affect their effective realisation for safety-critical systems. It comprises a comprehensive survey of digital twins and their constituent elements. Elaborating their characteristic state-of-the-art composition along with corresponding limitations, three dimensions of the future digital twins for the aerospace sector, termed as aero-Digital Twins (aero-DTs), are proposed as an outcome of this survey. These include the interactive, standardisation, and cognitive dimensions of digital twins, which if leveraged diligently could help the aero-DT research and development community quadruple the efficiency of existing and future aerospace systems as well as their associated processes.https://ieeexplore.ieee.org/document/9656111/Digital twinsaircraft operation and maintenanceaerospace manufacturing
spellingShingle Luning Li
Sohaib Aslam
Andrew Wileman
Suresh Perinpanayagam
Digital Twin in Aerospace Industry: A Gentle Introduction
IEEE Access
Digital twins
aircraft operation and maintenance
aerospace manufacturing
title Digital Twin in Aerospace Industry: A Gentle Introduction
title_full Digital Twin in Aerospace Industry: A Gentle Introduction
title_fullStr Digital Twin in Aerospace Industry: A Gentle Introduction
title_full_unstemmed Digital Twin in Aerospace Industry: A Gentle Introduction
title_short Digital Twin in Aerospace Industry: A Gentle Introduction
title_sort digital twin in aerospace industry a gentle introduction
topic Digital twins
aircraft operation and maintenance
aerospace manufacturing
url https://ieeexplore.ieee.org/document/9656111/
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AT sohaibaslam digitaltwininaerospaceindustryagentleintroduction
AT andrewwileman digitaltwininaerospaceindustryagentleintroduction
AT sureshperinpanayagam digitaltwininaerospaceindustryagentleintroduction