Bombardier Contribution to the 3rd AIAA High-Lift Workshop

Langlois, Marc; Yang, Hong; Sermeus, Kurt

doi:10.2514/6.2018-1038

Cited by 6 publications

(2 citation statements)

References 2 publications

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“…Ashton [16] found that none of the SA, SST, and k − ε models are able to capture the post-stall region in the case of the JSM. Marc et al [18] took the laminar-turbulence transition into account and accurately predicted the stall behavior.…”

Section: Introductionmentioning

confidence: 99%

Aerodynamic Prediction of High-Lift Configuration Using k−v2¯−ω Turbulence Model

Zhang

et al. 2022

AIAA Journal

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The aerodynamic performance of the high-lift configuration greatly influences the safety and economy of commercial aircraft. Accurately predicting the aerodynamic performance of the high-lift configuration, especially the stall behavior, is important for aircraft design. However, the complex flow phenomena of high-lift configurations pose substantial difficulties to current turbulence models. In this paper, a three-equation 𝒌 − 𝒗 𝟐 ̅̅̅ − 𝝎 turbulence model for the Reynolds-averaged Navier-Stokes equations is used to compute the stall behavior of high-lift configurations. A separated shear layer fixed function is implemented in the turbulence model to better capture the nonequilibrium characteristics of turbulence. Different high-lift configurations, including the two-dimensional multielement NLR7301 and Omar airfoils and a complex full-configuration model (JAXA Standard Model), are numerically tested. The results indicate that the effect of the nonequilibrium characteristics of turbulence is significant in the free shear layer, which is key to accurately predicting the stall behavior of high-lift devices. The modified SPF 𝒌 − 𝒗 𝟐 ̅̅̅ − 𝝎 model is more accurate in predicting stall behavior than the Spalart-Allmaras, shear stress transport, and original 𝒌 − 𝒗 𝟐 ̅̅̅ − 𝝎 models for the full high-lift configuration. The relative errors in the predicted maximum lift coefficients are within 3% of the experimental data. Nomenclature AOA = angle of attack, deg

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Section: Introductionmentioning

confidence: 99%

Aerodynamic Prediction of High-Lift Configuration Using k−v2¯−ω Turbulence Model

Zhang

et al. 2022

AIAA Journal

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“…During the course of the GMGW1, committee members and participants identified specific meshing guidelines that were difficult to comply with, made mesh generation slower, or generated what they felt were suboptimal quality meshes. [3][4][5] The impetus for this study came from these mesh generation practitioners advocating for the review and possible elimination of specific guidelines during the workshop. Assessing the effect of eliminating a guideline, or expanding the range of effective values for a guideline, within the current set of established best practices, could enable a reduction in the time and resources involved for mesh generation of a high lift configuration such as the HL-CRM.…”

Section: Introductionmentioning

confidence: 99%

A Qualitative Study on the Effects of Mesh Guideline Modification for Unstructured Mesh Generation of the NASA High Lift Common Research Model (HL-CRM)

Jones

Woeber

2018

2018 Fluid Dynamics Conference

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As part of the 1 st Geometry and Mesh Generation Workshop, unstructured tetrahedral and unstructured hybrid Computational Fluid Dynamics meshes were generated according to the meshing guidelines supplied by the 3 rd High Lift Prediction Workshop. During this process, it was noted that application of some meshing guidelines became a bottleneck in the process and negatively impacted the quality of the meshes. A study is performed to compare the FUN3D simulation from the baseline medium-resolution workshop unstructured mesh with those on meshes resulting from guideline variations to the baseline. Recommendations on the elimination or reduction of meshing guidelines for high lift aerodynamic cases like the High Lift Common Research Model are based on the resulting data. Nomenclature C L lift coefficient M Mach number R e Reynolds number Symbols α angle of attack O asymptotic algorithm complexity, i.e., big O notation

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