Aerodynamics prediction of CRM-HL using RANS by TAS code

龍太郎 古谷; 光宏 村山; 靖 伊藤; 健太郎 田中; Ryutaro Furuya; Mitsuhiro Murayama; Yasushi Ito; Kentaro TANAKA

doi:10.20637/00048999

December 23, 2022

Aerodynamics prediction of CRM-HL using RANS by TAS code

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Key Points

This research aims to predict the aerodynamics of the CRM-HL model using RANS simulations with TAS code.
Participated in the Eighth Aerodynamics Prediction Challenge workshop (APC-8).
Utilized RANS (Reynolds-Averaged Navier-Stokes) equations for aerodynamic simulations.
Employed TAS code for computational analysis.
Demonstrated capabilities in predicting aerodynamic characteristics of CRM-HL.
Highlighted the effectiveness of RANS methodology in complex aerodynamic scenarios.

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Implication

The eighth aerodynamics prediction challenge workshop evaluates RANS simulations of CRM-HL, highlighting methodology and implications.

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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古谷 et al. (2022) studied this question.

synapsesocial.com/papers/69cd7b155652765b073a8c83 https://doi.org/10.20637/00048999

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Aerodynamics prediction of CRM-HL using RANS by TAS code

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Aerodynamics prediction of CRM-HL using RANS by TAS code

Key Points

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Abstract

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