Robust turbine blade optimization in the face of real geometric variations
J Kamenik, I Voutchkov, DJJ Toal, AJ Keane… - Journal of Propulsion …, 2018 - arc.aiaa.org
Because of manufacturing variations, no real turbine blade exactly conforms to its nominal
geometry. Even minimal deviations are known to affect aerodynamic performance, blade …
geometry. Even minimal deviations are known to affect aerodynamic performance, blade …
Turbomachinery active subspace performance maps
P Seshadri, S Shahpar… - Journal of …, 2018 - asmedigitalcollection.asme.org
Turbomachinery active subspace performance maps are two-dimensional (2D) contour plots
that illustrate the variation of key flow performance metrics with different blade designs …
that illustrate the variation of key flow performance metrics with different blade designs …
Novel compressor blade shaping through a free-form method
This paper describes the use of the free-form-deformation (FFD) parameterization method to
create a novel blade shape for a highly loaded, transonic axial compressor. The novel …
create a novel blade shape for a highly loaded, transonic axial compressor. The novel …
Leakage uncertainties in compressors: The case of rotor 37
This paper revisits an old problem of validating computational fluid dynamics simulations
with experiments in turbomachinery. The case considered here is NASA rotor 37. Prior …
with experiments in turbomachinery. The case considered here is NASA rotor 37. Prior …
Affordable uncertainty quantification for industrial problems: application to aero-engine fans
Uncertainty quantification (UQ) is an increasingly important area of research. As
components and systems become more efficient and optimized, the impact of uncertain …
components and systems become more efficient and optimized, the impact of uncertain …
High-dimensional uncertainty quantification of high-pressure turbine vane based on multifidelity deep neural networks
In this work, a new multifidelity (MF) uncertainty quantification (UQ) framework is presented
and applied to the LS89 nozzle modified by fouling. Geometrical uncertainties significantly …
and applied to the LS89 nozzle modified by fouling. Geometrical uncertainties significantly …
Bayesian assessments of aeroengine performance with transfer learning
Aeroengine performance is determined by temperature and pressure profiles along various
axial stations within an engine. Given limited sensor measurements, we require a …
axial stations within an engine. Given limited sensor measurements, we require a …
A density-matching approach for optimization under uncertainty
Modern computers enable methods for design optimization that account for uncertainty in
the system—so-called optimization under uncertainty (OUU). We propose a metric for OUU …
the system—so-called optimization under uncertainty (OUU). We propose a metric for OUU …
Gradient-enhanced least-square polynomial chaos expansions for uncertainty quantification and robust optimization
View Video Presentation: https://doi. org/10.2514/6.2021-3073. vid Regression-based
Polynomial Chaos expansions offer several advantages over projection-based approaches …
Polynomial Chaos expansions offer several advantages over projection-based approaches …
Effects of rotor tip blade loading variation on compressor stage performance
A Tiralap, CS Tan, E Donahoo… - Journal of …, 2017 - asmedigitalcollection.asme.org
Changes in loss generation associated with altering rotor tip blade loading of an embedded
rotor–stator compressor stage are assessed with unsteady three-dimensional computations …
rotor–stator compressor stage are assessed with unsteady three-dimensional computations …