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 8 publications

(5 citation statements)

References 26 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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“…From the view of the manufacturer, the bill of materials (BOM) is often the base for the physical item hierarchy, also defining the connections and interdependencies between single models and information. Within this context, Rios et al state that "current PLM systems treat the product as a type of product and not as a unique digital instance that could have a one-to-one link with its corresponding physical one" [8], as would be needed for the planning of the retrofit. Additionally, with the BOM-orientated structure, meta-information-like relations and interdependencies between data and separate documents are often not documented sufficiently.…”

Section: Current Data Handling Practices-plm and Model Data Managementmentioning

confidence: 99%

Supporting Digital Twins for the Retrofit in Aviation by a Model-Driven Data Handling

Laukotka

Krause

2023

Systems

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Aviation is characterized by many stakeholders, long lifespans of its assets, and high requirements regarding safety, security, and documentation. To meet these requirements as well as customer needs, aircraft are regularly retrofitted with new cabins. During the planning and execution of this cabin retrofit, handling the needed and available data poses a challenge to the engineers. While much of the required data is available in some form, generally there is a lack of a digitally usable dataset of the specific aircraft—a virtual representation of the physical asset is missing. To support the implementation of such a digital twin and, thus, the overall process of retrofitting aircraft, an approach to model-driven data handling tailored to the unique circumstances and requirements of aviation is introduced. The methodology consists of a combination of systems engineering and data science techniques framed by an overarching procedure that iteratively creates and enhances a digitally accessible dataset of the relevant data, hence supporting the retrofit engineers by easing access to needed information. Besides the presentation of the research background and the methodology, a simplified example is shown, demonstrating the approach using abstracted but realistic information provided by partners from the industry.

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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%

See 1 more Smart Citation

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

Cited by 8 publications

References 26 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

Supporting Digital Twins for the Retrofit in Aviation by a Model-Driven Data Handling

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

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