A new approach for deviation modeling in compressors: Sensitivity-correlated principal component analysis
M Li, X Yu, D Meng, G An, B Liu - Aerospace, 2023 - mdpi.com
Studies on the geometry variation-related compressor uncertainty quantification (UQ) have
often used dimension reduction methods, such as the principal component analysis (PCA) …
often used dimension reduction methods, such as the principal component analysis (PCA) …
A novel decomposition method for manufacture variations and the sensitivity analysis on compressor blades
B Liu, J Liu, X Yu, G An - Aerospace, 2022 - mdpi.com
A high accuracy blade manufacture variation decomposition method was proposed to
decompose the manufacture variations of compressor blades to systematic variation and …
decompose the manufacture variations of compressor blades to systematic variation and …
Exploratory Factor Analysis for Machining Error Data of Compressor Blades Based on Dimensionality-Reduced Statistical Analysis Method
L Fan, Y Ren, M Tan, B Wu… - Journal of …, 2024 - asmedigitalcollection.asme.org
Various machining errors inevitably occur on aero-engine compressor blades, including
leading-edge contour error, trailing-edge contour error, camber contour error, and more. The …
leading-edge contour error, trailing-edge contour error, camber contour error, and more. The …
Large Airfoil Models
The development of a" Large Airfoil Model (LAM)," a transformative approach for answering
technical questions on airfoil aerodynamics, requires a vast dataset and a model to leverage …
technical questions on airfoil aerodynamics, requires a vast dataset and a model to leverage …
GA-BP neural network-based nonlinear regression model for machining errors of compressor blades
L Fan, Y Ren, M Tan, B Wu, L Gao - Aerospace Science and Technology, 2024 - Elsevier
Given that blade machining errors can substantially degrade aeroengine performance and
reliability, there is a critical imperative to implement stringent control over blade machining …
reliability, there is a critical imperative to implement stringent control over blade machining …
Automatic borescope damage assessments for gas turbine blades via deep learning
View Video Presentation: https://doi. org/10.2514/6.2021-1488. vid To maximise fuel
economy, bladed components in aero-engines operate close to material limits. The severe …
economy, bladed components in aero-engines operate close to material limits. The severe …
Impact of epistemic uncertainty on performance parameters of compressor blades
An well-established tool for probabilistic analysis is the Monte Carlo simulation (MCS),
which can be used to gain insight into an unknown system behavior. The variability of the …
which can be used to gain insight into an unknown system behavior. The variability of the …
Programming with equadratures: an open-source package for uncertainty quantification, dimension reduction, and optimisation
View Video Presentation: https://doi. org/10.2514/6.2022-2108. vid This paper presents an
overview of the open-source code equadratures. While originally developed to replicate …
overview of the open-source code equadratures. While originally developed to replicate …
[HTML][HTML] Breaking the geometry-performance tradeoff in compressor deviation modeling: Nested principal component analysis
LI Mingzhi, YU Xianjun, M Dejun, AN Guangfeng… - Chinese Journal of …, 2024 - Elsevier
Uncertainties in the aerodynamic performance of compressors, introduced by manufacturing
variations, have received more and more attentions in recent years. The deviation model …
variations, have received more and more attentions in recent years. The deviation model …
Blade envelopes Part II: Multiple objectives and inverse design
Blade envelopes offer a set of data-driven tolerance guidelines for manufactured
components based on aerodynamic analysis. In Part I of this two-part paper, a workflow for …
components based on aerodynamic analysis. In Part I of this two-part paper, a workflow for …