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An adaptive dimensionality reduction optimization method for compressor airfoils based on ellipse parameterization

delete2026-04-30
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PRE
AI
J
Jinxin Cheng
Z
Zhenqiang Zhong
C
Chuanrui Si
Y
Yong Zhang
K
Kangqing Shen *
DOI:10.1016/j.ast.2026.112489delete
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Abstract

Abstract

En 中文
• An adaptive dimensionality reduction optimization framework is proposed. • Ellipse parameterization enables efficient and feasible airfoil generation. • PCA reduces design dimensionality while preserving key geometric features. • Adaptive boundary expansion improves search efficiency and robustness. • The method achieves superior optimization performance with reduced loss.
Keywords:
dimensionality reduction
airfoil optimization
ellipse parameterization
PCA
adaptive boundary expansion

Journal

Aerospace Science and Technology cover
Aerospace Science and Technology
IF:
5.8
Papers:
1.0W
Citations:
3.0W

Organization

C
china university of mining and technology
Scholars:
6.0K
Papers: 2.1K
Citations: 0
T
tsinghua university
Scholars:
11.8W
Papers: 10.0W
Citations: 137
B
beijing power machinery institute
Scholars:
51
Papers: 33
Citations: 0
U
university of science and technology beijing
Scholars:
1.2W
Papers: 4.4K
Citations: 2
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