Data-driven design exploration method using conditional variational autoencoder for airfoil design

An objective of mechanical design is to obtain a shape that satisfies specific requirements. In the present work, we achieve this goal using a conditional variational autoencoder (CVAE). The method enables us to analyze the relationship between aerodynamic performance and the shape of aerodynamic pa...

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Vydané v:	Structural and multidisciplinary optimization Ročník 64; číslo 2; s. 613 - 624
Hlavní autori:	Yonekura, Kazuo, Suzuki, Katsuyuki
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2021 Springer Nature B.V
Predmet:	Aerodynamics Airfoils Approximation Computational Mathematics and Numerical Analysis Deep learning Design Designers Engineering Engineering Design Machine learning Methods Neural networks Optimization Performance indices Research Paper Theoretical and Applied Mechanics Turbine blades Turbines Variational autoencoder Design exploration Airfoil design
ISSN:	1615-147X, 1615-1488
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