Digital twin applications in aviation industry: A review

Xiong, Minglan; Wang, Huawei

doi:10.1007/s00170-022-09717-9

Cited by 73 publications

(24 citation statements)

References 99 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Digital Twin (DT) is one of the core components of Industry 4.0, which is termed as virtual replica or digital prototype of the physical process, fully integrated with the physical system and capable of performing virtual simulations in real time [77][78][79] . The virtual simulation is a key aspect of DT that requires continuous iterations between physical and virtual entities 80,81 . These simulations include physics based computational approaches (FEM/CFD) [82][83][84][85][86][87] as well as data driven stochastics simulations [88][89][90] .…”

Section: The Meta-verse Of Composites Manufacturingmentioning

confidence: 99%

“…Digital twins are implemented at different yet interlinked levels 13 . In the context of composite structures, these levels include the design, manufacturing/assembly and in-services/operation phases 80 . At the design level, it is also known as "digital material twin" (DMT) which refers to the realistic computational models of the composite material that can be used for design verification and predicting the mechanical properties of the final composite, as well as estimating the process parameters such as the compaction response and resin flow properties within the reinforcing fibers [96][97][98] .…”

Section: The Meta-verse Of Composites Manufacturingmentioning

confidence: 99%

See 1 more Smart Citation

Graphene nanoparticles as data generating digital materials in industry 4.0

Ali

Irfan

Khan

et al. 2023

Sci Rep

View full text Add to dashboard Cite

One of the potential applications of 2D materials is to enhance multi-functionality of structures and components used in aerospace, automotive, civil and defense industries. These multi-functional attributes include sensing, energy storage, EMI shielding and property enhancement. In this article, we have explored the potential of using graphene and its variants as data generating sensory elements in Industry 4.0. We have presented a complete roadmap to cover three emerging technologies i.e. advance materials, artificial intelligence and block-chain technology. The utility of 2D materials such as graphene nanoparticles is yet to be explored as an interface for digitalization of a modern smart factory i.e. “factory-of-the-future”. In this article, we have explored how 2D material enhanced composites can act as an interface between physical and cyber spaces. An overview of employing graphene-based smart embedded sensors at various stages of composites manufacturing processes and their application in real-time structural health monitoring is presented. The technical challenges associated with interfacing graphene-based sensing networks with digital space are discussed. Additionally, an overview of the integration of associated tools such as artificial intelligence, machine learning and block-chain technology with graphene-based devices and structures is also presented.

show abstract

Section: The Meta-verse Of Composites Manufacturingmentioning

confidence: 99%

Section: The Meta-verse Of Composites Manufacturingmentioning

confidence: 99%

Graphene nanoparticles as data generating digital materials in industry 4.0

Ali

Irfan

Khan

et al. 2023

Sci Rep

View full text Add to dashboard Cite

show abstract

“…There are many benefits in digital twin implementation including, cost reduction, predicting problems, maintenance scheduling and improvement, comprehensive visibility and increasing safety [ 26 ]. An excellent example of the benefit of a digital twin in the aerospace industry is in airframe life cycle management and maintenance optimization with reduced cost and increased system reliability [ 27 ].…”

Section: The History Of the Digital Twin From Concept Idea To Buildin...mentioning

confidence: 99%

The Development of a Digital Twin Framework for an Industrial Robotic Drilling Process

Farhadi

Lee

Hinchy

et al. 2022

Sensors

View full text Add to dashboard Cite

A digital twin is a digital representation of a physical entity that is updated in real-time by transfer of data between physical and digital (virtual) entities. In this manuscript we aim to introduce a digital twin framework for robotic drilling. Initially, a generic reference model is proposed to highlight elements of the digital twin relevant to robotic drilling. Then, a precise reference digital twin architecture model is developed, based on available standards and technologies. Finally, real-time visualisation of drilling process parameters is demonstrated as an initial step towards implementing a digital twin of a robotic drilling process.

show abstract

“…Numerous works have applied digital twins, for example, in the creation of the digital twin of a city as a foundation for analyzing the dynamics of the city in terms of processes and events [ 5 ], for a better understanding of urban drainage networks [ 6 ], and in space exploration satellites to check the operability of modules [ 7 ]. For this work, we used the most sophisticated example of a digital twin application in the aircraft maintenance industry since aircraft is one of the most complex machines that consist of millions of parts and complex assemblies [ 8 , 9 ]. Undoubtedly, digital twin technology innovates industrial applications; therefore, having effective interaction with digital twins is vital for successful use.…”

Section: Introductionmentioning

confidence: 99%

“…Digital twins can be used to model complicated structures and processes that uniquely interact with the surrounding environment, where one of the major challenges is the prediction of terminal effects over the entire life cycle of an aircraft [ 32 ]. The airframe, engines, flight control surface, instrumentation, pressurization, hydraulics, chassis, and other systems comprise the complicated aircraft’s intricate system architecture [ 8 , 9 ]. However, an aircraft collects a large amount of data during operation, which allows for the digital management of the aircraft’s full life cycle to minimize operating costs and increase system reliability.…”

Section: Introductionmentioning

confidence: 99%

Interaction with Industrial Digital Twin Using Neuro-Symbolic Reasoning

Siyaev

Valiev

2023

Sensors

View full text Add to dashboard Cite

Digital twins have revolutionized manufacturing and maintenance, allowing us to interact with virtual yet realistic representations of the physical world in simulations to identify potential problems or opportunities for improvement. However, traditional digital twins do not have the ability to communicate with humans using natural language, which limits their potential usefulness. Although conventional natural language processing methods have proven to be effective in solving certain tasks, neuro-symbolic AI offers a new approach that leads to more robust and versatile solutions. In this paper, we propose neuro-symbolic reasoning (NSR)—a fundamental method for interacting with 3D digital twins using natural language. The method understands user requests and contexts to manipulate 3D components of digital twins and is able to read maintenance manuals and implement installations and removal procedures autonomously. A practical neuro-symbolic dataset of machine-understandable manuals, 3D models, and user queries is collected to train the neuro-symbolic reasoning interaction mechanism. The evaluation demonstrates that NSR can execute user commands accurately, achieving 96.2% accuracy on test data. The proposed method has industrial importance since it provides the technology to perform maintenance procedures, request information from manuals, and serve as a tool to interact with complex virtual machinery using natural language.

show abstract

Digital twin applications in aviation industry: A review

Cited by 73 publications

References 99 publications

Graphene nanoparticles as data generating digital materials in industry 4.0

Graphene nanoparticles as data generating digital materials in industry 4.0

The Development of a Digital Twin Framework for an Industrial Robotic Drilling Process

Interaction with Industrial Digital Twin Using Neuro-Symbolic Reasoning

Contact Info

Product

Resources

About