Automated Piping in an Airbus A320 Landing Gear Bay Using Graph-Based Design Languages

Neumaier, Moritz; Kranemann, Stefan; Kazmeier, Bernd; Rudolph, Stephan

doi:10.3390/aerospace9030140

Cited by 6 publications

(1 citation statement)

References 28 publications

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“…This reuse is not limited to the vocabulary, but may contain design processes where graph transformation is used in combination with algorithms to solve domain specific tasks. A good example of this approach is the automated routing of system equipment for electrical wire harness design (Eheim et al, 2021) and the automated piping of landing gear (Neumaier et al, 2021). Once the design process is defined, it may be reused in other contexts.…”

Section: Better Support Of Graph Transformation In Engineering Designmentioning

confidence: 99%

Graph transformation in engineering design: an overview of the last decade

Voss

Petzold

Rudolph

2023

AIEDAM

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In engineering and architecture, different approaches have been developed that share the use of graph transformation to automate design processes or to search for design solutions by means of computational design synthesis. In order to give an overview of these approaches, we provide a review of articles published in the last decade. Forty-eight articles were reviewed to determine similarities and differences of these approaches. Research fields in method development for the representation of design problems and the processing of graph transformations, as well as the application of graph transformations in engineering, architecture, and shape grammars were identified. Different approaches for the documentation of the vocabulary and the rules were examined. Finally, different approaches for rule applications were analyzed. Based on found limitations, future research directions are suggested.

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Section: Better Support Of Graph Transformation In Engineering Designmentioning

confidence: 99%

Graph transformation in engineering design: an overview of the last decade

Voss

Petzold

Rudolph

2023

AIEDAM

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Automated packing and piping in an Airbus A320 main landing gear bay: an industrial development case study

Neumaier,

Schopper,

Gundlach

et al. 2024

CEAS Aeronaut J

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The packing of given hydraulic equipment together with the hydraulic piping is a challenging design task. Both the hydraulic domain and the geometry domain are highly intercoupled as the packing determines the exact location of the connection points and tangents for the pipes but also defines the installation spaces for the equipment to be positioned which needs to be taken into account as an obstacle during the piping process. For the industrial case study, a mounting rack in an Airbus A320 main landing gear bay is used, where seven pieces of equipment should be packed and 22 pipes should be routed. In the first part of the study, the packing was done manually, assisted by automated routing, while the hydraulic piping was generated automatically. In the second part of the study the packing was automatized as well. For the automated packing process, a particle multi swarm optimisation was used. As objective function a pipe length minimization was implemented, which uses the Dubins Path as a pipe approximation. Constraints taken into account are the collision-free nature of the equipment and its placement on a plate inside the plates borders. The automated packing workflow was used to generate different variants of which for two a pipe work was generated exemplarily. Due to the model-based systems engineering approach, no further interaction in terms of the definition of the connection points, tangents and the installation space is necessary. This demonstrates that an automated packing and piping process in an industrial context using industrial geometries is now feasible.

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Automated pipe design in 3D using a multi-objective toolchain for efficient decision-making

Neumaier,

Kranemann,

Kazmeier

et al. 2024

Journal of Computational Design and Engineering

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Pipe design in 3D is typically characterized by competing objectives, since the different design objectives, such as the reduction of length, weight, number of bends, manufacturing cost and overall angle sum, are examples for such competing design goals, where one goal is often at the expense of the other. The origin of these competing design goals lies in the highly coupled problems of finding a permissible and collision-free pipe path in a complex 3D geometry and the physical properties of the path found. Because of the complex physics and geometry, these couplings are highly nonlinear and mostly accessible via simulation only. The underlying pipe design optimization problem can thus not be solved explicitly and is tackled instead with a multi-disciplinary search procedure. Since the trade-offs between different competing evaluation objectives are often not known in advance, an automated design space exploration can be performed to generate different pipe designs, leading to well-informed design decisions by human experts. Such a design space exploration is shown and discussed using the pipework in a mounting rack in an Airbus A320 main landing gear bay. A total of 144 valid designs are generated, out of which the best in each criteria and the pareto-optimal solutions are automatically selected. Compared to the manually created Airbus A320 series solution, up to $10.4\%$ of the pipe length or up to $16.9\%$ of the bends can be saved using the same fixings and connection points, demonstrating both the feasibility and the industrial applicability of the automated toolchain.

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Automated Piping in an Airbus A320 Landing Gear Bay Using Graph-Based Design Languages

Cited by 6 publications

References 28 publications

Graph transformation in engineering design: an overview of the last decade

Graph transformation in engineering design: an overview of the last decade

Automated packing and piping in an Airbus A320 main landing gear bay: an industrial development case study

Automated pipe design in 3D using a multi-objective toolchain for efficient decision-making

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