Towards an Intelligent Digital Cabin Twin to Support an Aircraft's Retrofit and Base Maintenance (SAE Paper 2022-01-0046)

Moenck, Keno; Laukotka, Fabian; Deneke, Constantin; uuml;ppstuhl, Thorsten Sch &; Krause, Dieter; Nagel, T.

doi:10.4271/2022-01-0046

Cited by 5 publications

(4 citation statements)

References 25 publications

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“…One periodically occurring task where this becomes relevant is the so-called cabin retrofit. Every five to seven years, the cabin of an existing aircraft is partly equipped with new components, which requires thorough documentation of the aircraft's current state to allow for the new cabin to be installed into its body (Moenck et al, 2022a). This is usually done by a third party who is facing the challenge of designing and installing a new cabin into an already-produced aircraft without having access to all information from its design and production.…”

Section: Application Using the Example Of Cabin Design For The Cabin ...mentioning

confidence: 99%

Enhancing design representations of information and knowledge of complex and long-living assets by applying system modelling techniques

Laukotka,

Berschik,

Krause

2024

Proc. Des. Soc.

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Managing general domain knowledge and asset-specific information in the form of digital representations is especially important and challenging when focusing on long-living and complex assets. Implicit knowledge and existing structures need to be captured and digitalised, ideally without introducing unnecessary complexity through unfamiliar wording or new structures. To achieve this, a methodical approach that utilises ontologies as well as system modelling techniques and focuses on early-stage model instantiation is presented and applied to the cabin retrofit of aircraft

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Section: Application Using the Example Of Cabin Design For The Cabin ...mentioning

confidence: 99%

Enhancing design representations of information and knowledge of complex and long-living assets by applying system modelling techniques

Laukotka,

Berschik,

Krause

2024

Proc. Des. Soc.

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“…An "as-is" or "as-build" (terminology depends on the domain and the point in time of expected changes) data collection is used in different domains in the context of retrofitting. Examples are, e.g., the naval [12], offshore [13,14], and aircraft [15,16] industry, using 3D scanning technology and subsequent processing strategies. Besides the sensory-based data acquisition, in this work's proposition (Sec.…”

Section: Retrofit Of Long-living Assetsmentioning

confidence: 99%

“…Herefore, an engineer needs a much more in-depth technical insight and understanding [23]. Besides isolated system-or datadriven modeling, combinations and linkages are required depending on the requirements' extent of the twin's purposes [16].…”

Section: Process Modelmentioning

confidence: 99%

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Digital Twins of existing long-living assets: reverse instantiation of the mid-life twin

Moenck¹,

Laukotka²,

Krause³

et al. 2022

DS 119: Proceedings of the 33rd Symposium Design for X (DFX2022)

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The added value of long-living assets declines during their lifespan, especially if they do not undergo regular planningintensive maintenance and retrofits. Here, the Digital Twin (DT) concept can support by representing the physical asset's most recent state, typically based on data and information from product creation. However, in the depicted domain, the stakeholders of the product's Mid-of-Life often do not have access to the early phases. Therefore, as often presented in current concepts, creating a holistic Digital Twin is not feasible. Instead, in the Mid-Life phase of long-living assets, only a usecase-specific and demand-actuated Digital Twin is attainable. This instantiation requires a solid procedure, which will be elaborated on in this work.

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Digital twins in aircraft production and MRO: challenges and opportunities

Moenck,

Rath,

Koch

et al. 2024

CEAS Aeronaut J

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The digital twin (DT) concept, value-adding connecting the real and digital world, has been a rising trend in recent years, while the implementation and observation of challenges are still subject to research. Implementations of holistic Digital Twins of tangible and intangible assets of complex products or processes are often ideal-theoretic; instead, only subsystems and processes are replicated, which digital representations serve specific, meaningful applications. Specifically, with its distinct characteristics, the aviation industry and its production show various future application scenarios, which we use case-driven outline in this work. Therefore, we first summarize common, industry-neutral challenges of implementing Digital Twins and give an overview of aircraft production characteristics. Then, we will outline different fields of utilizing the Digital Twin concept and highlight integrational, organizational, and compliance-related challenges as well as opportunities in the context of aircraft production and Maintenance, Repair, and Overhaul (MRO). The use cases are located at different aircraft life cycle phases, from production system development, production supplying logistics, and Quality Assurance (QA) up to retrofit.

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Towards an Intelligent Digital Cabin Twin to Support an Aircraft's Retrofit and Base Maintenance (SAE Paper 2022-01-0046)

Cited by 5 publications

References 25 publications

Enhancing design representations of information and knowledge of complex and long-living assets by applying system modelling techniques

Enhancing design representations of information and knowledge of complex and long-living assets by applying system modelling techniques

Digital Twins of existing long-living assets: reverse instantiation of the mid-life twin

Digital twins in aircraft production and MRO: challenges and opportunities

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