Airfoil Parameterization and Optimization Based on the CST Method

This paper delves into the evolution of airfoils and the various design methods that have been utilized over time. The application of airfoils, which is crucial to aircraft design, pertains to the shaping of wings, compressors, and turbine blades, significantly impacting lift and drag forces. Historical developments in airfoil design have seen transitions from basic shapes to refined, mathematically defined profiles. This study particularly emphasizes the CST (Class function/Shape function Thickness distribution) Method as an advanced and efficient approach for airfoil generation and optimization. Using Python3 and the application Profili, different airfoil shapes are computed and evaluated through numerical simulations in COMSOL Multiphysics. The simulations aimed to optimize several performance characteristics such as the lift coefficient, pressure distribution, and maximum angle of attack. The results highlight the enhanced performance of the newly generated airfoil compared to traditional designs, with a noticeable increase in maximum lift coefficient and a smoother pressure profile. This research illustrates the potential of the CST method coupled with computational tools to innovate airfoil designs, offering significant improvements for future applications. Future work will focus on optimizing CST parameters for specific performance criteria, extending the versatility and efficiency of the airfoil design process.

Authors

Institutions

Publication Details

Journal
Theoretical and Natural Science
Published
2025-03-13
DOI
https://doi.org/10.54254/2753-8818/2025.21436
Citations
2
Primary Topic
Topology Optimization in Engineering
Type
article
Field-Weighted Citation Impact
1.91
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Airfoil Parameterization and Optimization Based on the CST Method

Kangyuan Zhu
2 citations
Theoretical and Natural Science
Topology Optimization in Engineering
1.91
article

Airfoil Parameterization and Optimization Based on the CST Method

Kangyuan Zhu
article en
2 citations

Abstract

This paper delves into the evolution of airfoils and the various design methods that have been utilized over time. The application of airfoils, which is crucial to aircraft design, pertains to the shaping of wings, compressors, and turbine blades, significantly impacting lift and drag forces. Historical developments in airfoil design have seen transitions from basic shapes to refined, mathematically defined profiles. This study particularly emphasizes the CST (Class function/Shape function Thickness distribution) Method as an advanced and efficient approach for airfoil generation and optimization. Using Python3 and the application Profili, different airfoil shapes are computed and evaluated through numerical simulations in COMSOL Multiphysics. The simulations aimed to optimize several performance characteristics such as the lift coefficient, pressure distribution, and maximum angle of attack. The results highlight the enhanced performance of the newly generated airfoil compared to traditional designs, with a noticeable increase in maximum lift coefficient and a smoother pressure profile. This research illustrates the potential of the CST method coupled with computational tools to innovate airfoil designs, offering significant improvements for future applications. Future work will focus on optimizing CST parameters for specific performance criteria, extending the versatility and efficiency of the airfoil design process.

Theoretical and Natural ScienceVol. 92(1)
Shanghai American School (CN)
Openalex Percentile: Top 17%
Topology Optimization in Engineering
1.91
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.