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  6. Propeller optimization using machine learning

Propeller optimization using machine learning

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last updated:Apr 23, 2025

FsTech
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The main objective of the contest was to design a propeller that could achieve maximum efficiency at a wide range of operating speeds.

In propeller design, achieving optimal efficiency and performance is extremely important. Recently, by effectively combining AI and CFD, we were able to win an online propeller design contest hosted by a popular YouTube creator. In this contest, we were able to create two high-performance propellers that demonstrated excellent efficiency using "CAESES" and "AirShaper." *For more details, you can view the related links. For more information, please download the PDF or feel free to contact us.*

    Image analysis softwareStructural Analysis
機械学習によるプロペラ最適化1.gif

Propeller optimization using machine learning

機械学習によるプロペラ最適化1.gif
機械学習によるプロペラ最適化1.gif 機械学習によるプロペラ最適化2.gif 機械学習によるプロペラ最適化3.gif 機械学習によるプロペラ最適化4.gif 機械学習によるプロペラ最適化5.gif 機械学習によるプロペラ最適化6.gif 機械学習によるプロペラ最適化7.png 機械学習によるプロペラ最適化8.png 機械学習によるプロペラ最適化9.png 機械学習によるプロペラ最適化10.png
  • Related Link - https://www.fstech.jp/software_show-2-673.html
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Optimization and Parametric Modeling Software 'CAESES'

Optimization and Parametric Modeling Software 'CAESES'

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FsTech

FsTech

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Our company focuses on the development, sales, and support of various CAE software with "AI x Optimization" as a key concept, and we offer a wide range of services including contract analysis and consulting. The software we provide can also be customized according to our customers' requests. We aim to contribute to manufacturing by providing better products and services in product development, design, and research.

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