Natural laminar-flow airfoil optimization design using a discrete adjoint approach
Natural laminar-flow wings are one of the most promising technologies for reducing fuel
burn and emissions for commercial aviation. However, there is a lack of tools for performing …
burn and emissions for commercial aviation. However, there is a lack of tools for performing …
Adjoint-based aerodynamic shape optimization including transition to turbulence effects
The inclusion of transition to turbulence effects in aerodynamic shape optimization makes it
possible to use it as a tool for the design of airframes with laminar flow. Modified Reynolds …
possible to use it as a tool for the design of airframes with laminar flow. Modified Reynolds …
Smooth local correlation-based transition model for the Spalart–Allmaras turbulence model
MGH Piotrowski, DW Zingg - AIAA Journal, 2021 - arc.aiaa.org
A smooth version of the γ-R˜ e θ t local correlation-based transition model (LM2015) for the
Spalart–Allmaras (SA) turbulence model is presented. The LM2015 model with helicity …
Spalart–Allmaras (SA) turbulence model is presented. The LM2015 model with helicity …
Natural laminar flow wing optimization using a discrete adjoint approach
Natural laminar flow is one of the most promising ways to reduce the drag of future aircraft
configurations. However, there is a lack of efficient tools for performing shape optimization …
configurations. However, there is a lack of efficient tools for performing shape optimization …
Eigenvalue problem derivatives computation for a complex matrix using the adjoint method
Derivatives of eigenvalues and eigenvectors with respect to design variables are required
for gradient-based optimization in many engineering design problems. However, for the …
for gradient-based optimization in many engineering design problems. However, for the …
Toward automatic parabolized stability equation-based transition-to-turbulence prediction for aerodynamic flows
The inclusion of transition-to-turbulence effects in computational fluid dynamics simulations
is essential to accurately predict drag reduction from the use of laminar flow technologies …
is essential to accurately predict drag reduction from the use of laminar flow technologies …
Automatic transition prediction in a Navier–Stokes solver using linear stability theory
JS Fischer, BI Soemarwoto, ETA van der Weide - AIAA journal, 2021 - arc.aiaa.org
A structured Reynolds-averaged Navier–Stokes solver is directly coupled to a linear stability
theory (LST) solver to include the effect of laminar–turbulent transition in the flow …
theory (LST) solver to include the effect of laminar–turbulent transition in the flow …
[HTML][HTML] Transition prediction and sensitivity analysis for a natural laminar flow wing glove flight experiment
Y Tihao, H Zhong, C Yifu, SHI Yayun… - Chinese Journal of …, 2021 - Elsevier
Natural laminar flow technology can significantly reduce aircraft aerodynamic drag and has
excellent technical appeal for transport aircraft development with high aerodynamic …
excellent technical appeal for transport aircraft development with high aerodynamic …
Derivatives for eigenvalues and eigenvectors via analytic reverse algorithmic differentiation
Eigenvalue and eigenvectors are essential metrics to characterize dynamic system behavior
and stability. When performing gradient-based design optimization, derivatives of these …
and stability. When performing gradient-based design optimization, derivatives of these …
Stochastic investigation on the robustness of laminar-flow wings for flight tests
Natural laminar-flow (NLF) wings and hybrid laminar-flow control (HLFC) wings are efficient
drag reduction technologies. It is vital to develop robust laminar-flow wings to research the …
drag reduction technologies. It is vital to develop robust laminar-flow wings to research the …