Aerodynamic design optimization: Challenges and perspectives

JRRA Martins - Computers & Fluids, 2022 - Elsevier
Antony Jameson pioneered CFD-based aerodynamic design optimization in the late 1980s.
In addition to developing the fundamental theory, Jameson implemented that theory in …

[HTML][HTML] Differentiable visual computing for inverse problems and machine learning

A Spielberg, F Zhong, K Rematas… - Nature Machine …, 2023 - nature.com
Modern 3D computer graphics technologies are able to reproduce the dynamics and
appearance of real-world environments and phenomena, building on theoretical models in …

A geometric modelling framework to support the design of heterogeneous lattice structures with non-linearly varying geometry

N Letov, YF Zhao - Journal of Computational Design and …, 2022 - academic.oup.com
Geometric modelling has been a crucial component of the design process ever since the
introduction of the first computer-aided design systems. Additive Manufacturing (AM) pushes …

[HTML][HTML] A unified geometry parametrization method for turbomachinery blades

R Agromayor, N Anand, JD Müller, M Pini… - Computer-Aided …, 2021 - Elsevier
Turbomachinery design is increasingly carried out by means of automated workflows based
on high-fidelity physical models and optimization algorithms. The parametrization of the …

Differentiable 3d cad programs for bidirectional editing

D Cascaval, M Shalah, P Quinn, R Bodik… - Computer Graphics …, 2022 - Wiley Online Library
Modern CAD tools represent 3D designs not only as geometry, but also as a program
composed of geometric operations, each of which depends on a set of parameters. Program …

CAD integrated multipoint adjoint-based optimization of a turbocharger radial turbine

L Mueller, T Verstraete - International Journal of Turbomachinery …, 2017 - mdpi.com
The adjoint method is considered as the most efficient approach to compute gradients with
respect to an arbitrary number of design parameters. However, one major challenge of …

NURBS-based and parametric-based shape optimization with differentiated CAD kernel

O Mykhaskiv, M Banović, S Auriemma… - … -Aided Design and …, 2018 - Taylor & Francis
Numerical optimization is becoming an essential industrial method in engineering design for
shapes immersed in fluids. High-fidelity optimization requires fine design spaces with many …

[HTML][HTML] Enhancing CAD-based shape optimisation by automatically updating the CAD model's parameterisation

D Agarwal, TT Robinson, CG Armstrong… - Structural and …, 2019 - Springer
This paper presents an approach which increases the flexibility of a computer-aided design
(CAD) model by automatically refining its parameterization and adding new CAD features to …

Robust Newton–Krylov adjoint solver for the sensitivity analysis of turbomachinery aerodynamics

S Xu, Y Li, X Huang, D Wang - AIAA Journal, 2021 - arc.aiaa.org
Adjoint methods are widely used for turbomachinery aerodynamic shape optimization.
However, for industrial applications, the degradation of robustness and efficiency of adjoint …

Aerodynamic shape optimisation using parametric CAD and discrete adjoint

D Agarwal, S Marques, TT Robinson - Aerospace, 2022 - mdpi.com
This paper presents an optimisation framework based on an open-source CAD system and
CFD solver. In this work, the high-fidelity flow solutions and surface sensitivities are obtained …