Prediction of Low-speed Flows for the CRM-HL Configuration using Cflow

優果 山内; 英将 安田; 悠太 澤木; 陽亮 上野; Yuka Yamauchi; Hidemasa YASUDA; Yuta Sawaki; Yosuke Ueno

doi:10.20637/00049000

December 23, 2022

Prediction of Low-speed Flows for the CRM-HL Configuration using Cflow

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Key Points

This research aims to predict low-speed flows for the CRM-HL configuration using the Cflow tool.
Participated in the Eighth Aerodynamics Prediction Challenge workshop.
Utilized Cflow software for flow simulations.
Analyzed airflow patterns around the CRM-HL configuration.
Successfully predicted low-speed flow characteristics.
Demonstrated the effectiveness of Cflow in simulating aerodynamics.

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Implication

Aerodynamics prediction challenge reveals low-speed flow characteristics in specific configurations, indicating advanced simulation capabilities.

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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Cite This Study

山内 et al. (2022) studied this question.

synapsesocial.com/papers/69cd7af55652765b073a8884 https://doi.org/10.20637/00049000

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Prediction of Low-speed Flows for the CRM-HL Configuration using Cflow

Key Points

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Implication

Abstract

Discussion

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Prediction of Low-speed Flows for the CRM-HL Configuration using Cflow

Key Points

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Implication

Abstract

Discussion

Cite This Study

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