Automatic Unstructured Mesh Generation with Geometry Attribution

Karman, Steve L.; Wyman, Nicholas J.

doi:10.2514/6.2019-1721

Cited by 11 publications

(5 citation statements)

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“…Indeed, it requires the capability to modify and parameterize the external aerodynamic shapes over the complete aircraft configuration with all its components including the propulsive system, with a high degree of freedom while taking into account top-level aircraft geometrical constraints for the cabin, cargo and landing gear bays. For that the Engineering Sketch Pad [29] geometry modeler has been used to generate a parametric geometric model of the complete aircraft and enable automated CFD mesh generation around the resulting aircraft shapes using the commercial mesh generator Pointwise and its automation capability based on Glyph scripts [30].…”

Section: B Methods and Tools Descriptionmentioning

confidence: 99%

Illustrations of multi-disciplinary high-fidelity analysis capabilities for aero-structural and aero-acoustic aircraft design

Carrier¹,

Blondeau²,

Moëns³

et al. 2021

AIAA Scitech 2021 Forum

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Section: B Methods and Tools Descriptionmentioning

confidence: 99%

Illustrations of multi-disciplinary high-fidelity analysis capabilities for aero-structural and aero-acoustic aircraft design

Carrier¹,

Blondeau²,

Moëns³

et al. 2021

AIAA Scitech 2021 Forum

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show abstract

“…The commercial mesh generation software Pointwise enables the engineer to create structured and unstructured meshes, covering a wide range of CFD calculation needs. It is used there in batch mode using the Glyph scripts capability that enables to automate the generation of unstructured CFD mesh around almost arbitrary aircraft geometries [16]. Then, the open-source CFD software SU 2 [21] written in C++ for the numerical solution of partial differential equations, provides the flow field around a geometry and thus, the aerodynamic coefficients (solving either the RANS or Euler equations).…”

Section: A Description Of the Parametric Automated Aerodynamic Analys...mentioning

confidence: 99%

“…Several geometries of the SBW configuration are then considered, starting from the swept configuration with an AR = 16 introduced in part A of this section. The FAST-OAD analysis is performed for the aspect ratios 𝐴𝑅 ∈ [10,12,14,16,20,22] in combination with the position of the junction between the strut and the wing written 𝜂 𝑠𝑡𝑟𝑢𝑡 = 𝑦 𝑗𝑢𝑛𝑐𝑡𝑖𝑜𝑛 𝑏 . For this analysis, the Breguet-Leduc equation is considered to determine the fuel weight needed by the aircraft to achieve the mission.…”

Section: B Fast Evaluation Of the Aspect Ratio Influence On The Sbw C...mentioning

confidence: 99%

Multidisciplinary analysis and design of strut-braced wing concept for medium range aircraft

Carrier

Arnoult

Fabbiane

et al. 2022

AIAA SCITECH 2022 Forum

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Increasing the wing aspect ratio appears as a straightforward way to improve aerodynamic performance of transport aircraft by reducing the lift-induced drag component. However, it comes at the price of a direct negative impact on the wing structural weight which is necessary to sustain aerodynamic loads in the case of a conventional cantilever wing. The strut-braced wing concept allows to reduce the flexural moment to be carried out by the inner-wing structure and therefore limits the weight penalty as aspect ratio is increased. A multidisciplinary evaluation of the potential benefits at aircraft level of High Aspect Ratio, Strut Braced Wing concept is presented. It relies on a multi-fidelity design approach in which an Overall Aircraft Conceptual Design framework is combined with high-fidelity aerodynamic and structural analyses to provide accurate physical information to the conceptual design process. This paper describes the tools, framework and approach used to combine OACD with high-fidelity CFD and CSM analyses and illustrates the first results of its application to design a HAR-SBW aircraft concept which are compared to a conventional tube-and-wing aircraft designed for the same mission.

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“…Hetmaniuk and Knupp [12] improved the mesh optimization algorithm for two-dimensional triangular surface meshes by swapping the edges and moving the nodes to optimize the objective function, reducing the error in the difference calculation. The unstructured appendage layer T-Rex algorithm was introduced by PointWise [13]; it is based on the cell fusion mesh processing technique to further optimize the mesh of the unstructured appendage layer, which brings powerful technical support for automatic mesh generation. These studies have largely solved the problem of automating mesh generation for CFD attachment layers, such as automatic control of mesh cell quality, optimization of the mesh, and reduction of errors in the calculation.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Airfoil Mesh Quality with Transformer

Liu

Chen

et al. 2023

Aerospace

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Mesh quality is a major factor affecting the structure of computational fluid dynamics (CFD) calculations. Traditional mesh quality evaluation is based on the geometric factors of the mesh cells and does not effectively take into account the defects caused by the integrity of the mesh. Ensuring the generated meshes are of sufficient quality for numerical simulation requires considerable intervention by CFD professionals. In this paper, a Transformer-based network for automatic mesh quality evaluation (Gridformer), which translates the mesh quality evaluation into an image classification problem, is proposed. By comparing different mesh features, we selected the three features that highly influence mesh quality, providing reliability and interpretability for feature extraction work. To validate the effectiveness of Gridformer, we conduct experiments on the NACA-Market dataset. The experimental results demonstrate that Gridformer can automatically identify mesh integrity quality defects and has advantages in computational efficiency and prediction accuracy compared to widely used neural networks. Furthermore, a complete workflow for automatic generation of high-quality meshes based on Gridformer was established to facilitate automated mesh generation. This workflow can produce a high-quality mesh with a low-quality mesh input through automatic evaluation and optimization cycles. The preliminary implementation of automated mesh generation proves the versatility of Gridformer.

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Automatic Unstructured Mesh Generation with Geometry Attribution

Cited by 11 publications

References 0 publications

Illustrations of multi-disciplinary high-fidelity analysis capabilities for aero-structural and aero-acoustic aircraft design

Illustrations of multi-disciplinary high-fidelity analysis capabilities for aero-structural and aero-acoustic aircraft design

Multidisciplinary analysis and design of strut-braced wing concept for medium range aircraft

Evaluating Airfoil Mesh Quality with Transformer

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