Numerical Prediction of Aerodynamic Characteristics of CRM-HL at Low Speed and High Angles of Attack by scFLOW

吉隆 中島; 誠一 田口; 直哉 武田; Yoshitaka Nakashima; Seiichi Taguchi; Naoya Takeda

doi:10.20637/00048998

December 23, 2022

Numerical Prediction of Aerodynamic Characteristics of CRM-HL at Low Speed and High Angles of Attack by scFLOW

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Key Points

This research aims to predict the aerodynamic characteristics of a specific model at varying speeds and angles of attack.
Utilized the scFLOW computational fluid dynamics software
Conducted simulations at low speeds and high angles of attack
Participated in the Eighth Aerodynamics Prediction Challenge
Provided new insights into aerodynamic behavior under specified conditions
Demonstrated effective numerical techniques for aerodynamic prediction

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Implication

A workshop reports on predicting aerodynamic features at low speeds and high angles of attack, indicating important insights for aerodynamics.

Abstract

Eighth Aerodynamics Prediction Challenge workshop (APC-8) (June 29, 2022. Aiina, Iwate Prefectural Information Exchange Center) , Morioka-shi, Iwate, Japan

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中島 et al. (2022) studied this question.

synapsesocial.com/papers/69cd7ab35652765b073a818f https://doi.org/10.20637/00048998

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Numerical Prediction of Aerodynamic Characteristics of CRM-HL at Low Speed and High Angles of Attack by scFLOW

Key Points

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Abstract

Discussion

Cite This Study

Numerical Prediction of Aerodynamic Characteristics of CRM-HL at Low Speed and High Angles of Attack by scFLOW

Key Points

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Implication

Abstract

Discussion

Cite This Study

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