Design studies and multi-disciplinary assessment of agile and highly swept flying wing configurations

Liersch, Carsten M.; Schütte, Andreas; Siggel, Martin; Dornwald, Jochen

doi:10.1007/s13272-020-00453-y

Cited by 5 publications

(2 citation statements)

References 38 publications

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“…The results of such simulations can be used as an input of the design and/or sizing of the load-bearing structure of a wing. The publications [11,16,17,26] shed light on how the simulation and geometry generation are typically intertwined in multidisciplinary design analysis and optimization (MDAO) workflows and how they are influenced by a preceding conceptual design phase.…”

Section: Common Platformmentioning

confidence: 99%

A Generic Parametric Modeling Engine Targeted Towards Multidisciplinary Design: Goals and Concepts

Kleinert¹,

Reiswich²,

Siggel³

et al. 2023

Cad'23

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This paper presents the design concept of a generic parametric modeling engine that is completely decoupled from geometry generation. Driven by requirements extracted from preliminary multidisciplinary airplane design, the presented software architecture provides a platform that enables an interplay of different modeling and simulation tools on the one hand, and their efficient execution in a parametric tree on the other hand. An integrated plugin system allows users to define custom plugins exposing arbitrary types and functions. All geometric functionality is provided via plugins, decoupling it entirely from the parametric engine. First, we specify the goals that the software framework needs to fulfill, elaborating on the requirements encountered in early aircraft design. Then, we describe the software architecture and its modules, realized as a C++ library. As such, the software is a back-end that can be used by third party developers to create user-friendly and interoperable tools. The core of the framework is a parametric engine called grunk with its integrated plugin system and serialization functionality. The key feature of grunk is the possibility for users to define custom types in plugins and their use in the parametric tree. Geometric modeling functionalities are provided through the plugins grocc and geo: the first integrating OpenCascade Technology's functionalities and the latter extending it. A major feature on the geometry side is the provision of derivatives through algorithmic differentiation, making the framework particularly suitable for gradient-based optimization applications. Finally, we demonstrate the use of the software via examples and show the results.

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Section: Common Platformmentioning

confidence: 99%

A Generic Parametric Modeling Engine Targeted Towards Multidisciplinary Design: Goals and Concepts

Kleinert¹,

Reiswich²,

Siggel³

et al. 2023

Cad'23

View full text Add to dashboard Cite

show abstract

“…The highly unsteady and uncertain flow over the surface of the wing for medium to a higher AOA makes the pitching moment coefficient ( C m ) highly nonlinear, fluctuating and discontinuous (Zhang et al , 2005; McParlin et al , 2006; McLain, 2009; Cummings et al , 2010; Schütte et al , 2010; Vicroy Dan et al , 2010; Jentzsch et al , 2016; Williams et al , 2019; Liersch et al , 2020b). The recent studies predict a strong correlation between flow topology and C m .…”

Section: Introductionmentioning

confidence: 99%

Flow characterization of low sweep MULDICON wing at low speed

Haider

Mansor

Mat

et al. 2023

AEAT

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Purpose The flow topology for multi-disciplinary configuration (MULDICON) wing is very complicated and nonlinear at low to high angle of attack (AOA). This paper aims to provide the correlation between the unsteadiness and uncertainties of the flow topology and aerodynamic forces and moments above MULDICON WING at a medium to a higher AOA. Design/methodology/approach The experimental and computational fluid dynamics methods were used to investigate a generic MULDICON wing. During the experiment, the AOA were varied from α = 5° to 30°, whereas yaw angle varies between β = ±20° and Reynolds number between Re = 3.0 × 105 and Re = 4.50 × 105. During the experiments steady-state loading, dynamic loading and flow visualization wind tunnel methods were used. Findings The standard deviation quantified the unsteadiness and uncertainties of flow topology and predicted that they significantly affect the pitching moment (Cm) at medium to higher AOA. A strong correlation between flow topology and Cm was exhibited, and the experiment data was well validated by previous numerical work. The aerodynamic center was not fixed and shifted toward the wing apex when AOA is increasing. For a = 10°, the flow becomes more asymmetric. Power spectral densities plots quantify the flow separation (apex vortex, leading-edge vortex and vortex breakdown) over the MULDICON wing. Originality/value The application and comparison of steady-state and dynamic loading data to quantify the unsteadiness and uncertainties of flow topology above the MULDICON wing.

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A trade-off analysis between lateral/directional stability and radar cross section requirements of an air-to-air combat airframe

Bacci

Vagias

2023

Aerospace Science and Technology

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Design studies and multi-disciplinary assessment of agile and highly swept flying wing configurations

Cited by 5 publications

References 38 publications

A Generic Parametric Modeling Engine Targeted Towards Multidisciplinary Design: Goals and Concepts

A Generic Parametric Modeling Engine Targeted Towards Multidisciplinary Design: Goals and Concepts

Flow characterization of low sweep MULDICON wing at low speed

A trade-off analysis between lateral/directional stability and radar cross section requirements of an air-to-air combat airframe

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