{"created":"2023-06-20T15:11:38.177259+00:00","id":41324,"links":{},"metadata":{"_buckets":{"deposit":"97afb22b-829f-42d6-afe1-463ea295a492"},"_deposit":{"created_by":1,"id":"41324","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"41324"},"status":"published"},"_oai":{"id":"oai:jaxa.repo.nii.ac.jp:00041324","sets":["1887:1893","1896:1898:1913:1915"]},"author_link":["489472","489473"],"item_3_alternative_title_2":{"attribute_name":"その他のタイトル（英）","attribute_value_mlt":[{"subitem_alternative_title":"Can CFD predict airfoil stall angle?: A comparison of turbulence models"}]},"item_3_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2000-12","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"128","bibliographicPageStart":"123","bibliographicVolumeNumber":"46","bibliographic_titles":[{"bibliographic_title":"航空宇宙技術研究所特別資料"},{"bibliographic_title":"Special Publication of National Aerospace Laboratory","bibliographic_titleLang":"en"}]}]},"item_3_description_14":{"attribute_name":"会議概要（会議名, 開催地, 会期, 主催者等）","attribute_value_mlt":[{"subitem_description":"航空宇宙技術研究所 7-9 Jun. 2000 東京 日本","subitem_description_type":"Other"}]},"item_3_description_15":{"attribute_name":"会議概要（会議名, 開催地, 会期, 主催者等）（英）","attribute_value_mlt":[{"subitem_description":"National Aerospace Laboratory 7-9 Jun. 2000 Tokyo Japan","subitem_description_type":"Other"}]},"item_3_description_16":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"3種類の翼型について、失速特性の予測に関する数値計算を行った。レイノルズ平均したナビエ-ストークス方程式を解くため、Roeの風上差分法とローカルタイムステップ積分法を用いた。収束を早めるために、マルチグリッドアルゴリズムを用いた。代数型ボールドウィン-ロマックス法と2方程式低レイノルズ補正型Chenのκ-εモデルの2種類の乱流モデルについて、数値結果と実験結果を比較することで評価した。ボールドウィン-ロマックス・モデルは、前縁失速型と極めて良く合ったが、他の翼型を説明するためにはκ-εモデルが必要であった。この結果、それぞれの乱流モデルの失速予測は翼の失速型、即ち、前縁失速型と後縁失速型、あるいは薄翼失速型に依存していることを示した。航空機設計に際して失速特性を予測するためには、さらに改良した乱流モデルと完全な試験データが必要であった。","subitem_description_type":"Abstract"}]},"item_3_description_17":{"attribute_name":"抄録（英）","attribute_value_mlt":[{"subitem_description":"A numerical study was carried out on stall characteristics prediction for three types of airfoil. Roe's flux difference splitting upwind scheme and LU-ADI (Lower Upper-Alternating Direction Implicit) factorized implicit time integration were used to solve Reynolds-averaged Navier-Stokes equation. A multigrid algorithm was used to accelerate the convergence. Two kinds of turbulence models, Baldwin-Lomax algebraic model and Chen's two equation kappa-epsilon models were assessed by comparing the numerical results with experimental. Baldwin-Lomax model shows fairly good agreement for leading-edge-stall type airfoil, but kappa-epsilon model is required for other type airfoils. The results show that stall prediction for each turbulence model depends on the airfoil stall type, that is leading-edge-stall type, trailing-edge stall type, or thin-airfoil-stall. Still further improvement of turbulence models are required to predict stall characteristics for aircraft design, and complete test data are also needed for this purpose.","subitem_description_type":"Other"}]},"item_3_description_32":{"attribute_name":"資料番号","attribute_value_mlt":[{"subitem_description":"資料番号: AA0028635023","subitem_description_type":"Other"}]},"item_3_description_33":{"attribute_name":"レポート番号","attribute_value_mlt":[{"subitem_description":"レポート番号: NAL SP-46","subitem_description_type":"Other"}]},"item_3_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"航空宇宙技術研究所"}]},"item_3_publisher_9":{"attribute_name":"出版者（英）","attribute_value_mlt":[{"subitem_publisher":"National Aerospace Laboratory (NAL)"}]},"item_3_source_id_21":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"0289-260X","subitem_source_identifier_type":"ISSN"}]},"item_3_source_id_24":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10097345","subitem_source_identifier_type":"NCID"}]},"item_3_text_6":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"富士重工業"}]},"item_3_text_7":{"attribute_name":"著者所属（英）","attribute_value_mlt":[{"subitem_text_language":"en","subitem_text_value":"Fuji Heavy Industries Ltd"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"松本, 崇"}],"nameIdentifiers":[{"nameIdentifier":"489472","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Matsumoto, Takashi","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"489473","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2020-02-10"}],"displaytype":"detail","filename":"nalsp0046023.pdf","filesize":[{"value":"580.1 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"nalsp0046023.pdf","url":"https://jaxa.repo.nii.ac.jp/record/41324/files/nalsp0046023.pdf"},"version_id":"99d60918-819e-421d-a94c-4efadeebf9d6"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"計算流体力学","subitem_subject_scheme":"Other"},{"subitem_subject":"CFD","subitem_subject_scheme":"Other"},{"subitem_subject":"翼設計","subitem_subject_scheme":"Other"},{"subitem_subject":"失速型","subitem_subject_scheme":"Other"},{"subitem_subject":"代数型ボールドウィン-ロマックス法","subitem_subject_scheme":"Other"},{"subitem_subject":"Chenのカッパ-イプシロンモデル","subitem_subject_scheme":"Other"},{"subitem_subject":"前縁失速型","subitem_subject_scheme":"Other"},{"subitem_subject":"後縁失速型","subitem_subject_scheme":"Other"},{"subitem_subject":"薄翼失速型","subitem_subject_scheme":"Other"},{"subitem_subject":"乱流モデル","subitem_subject_scheme":"Other"},{"subitem_subject":"航空機","subitem_subject_scheme":"Other"},{"subitem_subject":"ナビエ-ストークス方程式","subitem_subject_scheme":"Other"},{"subitem_subject":"レイノルズ平均","subitem_subject_scheme":"Other"},{"subitem_subject":"風上スキーム","subitem_subject_scheme":"Other"},{"subitem_subject":"computational fluid dynamics","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"CFD","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"airfoil design","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"stall type","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Baldwin Lomax algebraic model","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Chen's kappa epsilon model","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"leading edge stall type","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"trailing edge stall type","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"thin airfoil stall","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"turbulence model","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"aircraft","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Navier Stokes equation","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Reynolds average","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"upwind scheme","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"technical report","resourceuri":"http://purl.org/coar/resource_type/c_18gh"}]},"item_title":"CFDは翼型失速角を予測できるか?:乱流モデルの比較","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"CFDは翼型失速角を予測できるか?:乱流モデルの比較"}]},"item_type_id":"3","owner":"1","path":["1893","1915"],"pubdate":{"attribute_name":"公開日","attribute_value":"2015-03-26"},"publish_date":"2015-03-26","publish_status":"0","recid":"41324","relation_version_is_last":true,"title":["CFDは翼型失速角を予測できるか?:乱流モデルの比較"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-06-20T21:03:12.265887+00:00"}