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Development of aerodynamic prediction methods for irregular planform wings

contributor authorNASA - National Aeronautics and Space Administration (NASA)
date accessioned2017-09-04T16:53:45Z
date available2017-09-04T16:53:45Z
date copyright01/01/1983
date issued1983
identifier otherWWMKAEAAAAAAAAAA.pdf
identifier urihttps://yse.yabesh.ir/std/handle/yse/117176
description abstractA set of empirical methods was developed to predict low-speed lift, drag and pitching-moment variations with angle of attack for a class of low aspect ratio irregular planform wings suitable for application to advanced aerospace vehicles. The data base, an extensive series of wind-tunnel tests accomplished by the Langley Research Center of the National Aeronautics and Space Administration, is summarized. The approaches used to analyze the wind tunnel data, the evaluation of previously existing methods, data correlation efforts, and the development of the selected methods are presented and discussed. A summary of the methods is also presented to document the equations, computational charts and design guides which have been programmed for digital computer solution. Comparisons of predictions and test data are presented which show that the new methods provide a significant improvement in capability for evaluating the landing characteristics of advanced aerospace vehicles during the preliminary design phase of the configuration development cycle.
languageEnglish
titleNASA-CR-3664num
titleDevelopment of aerodynamic prediction methods for irregular planform wingsen
typestandard
page470
statusActive
treeNASA - National Aeronautics and Space Administration (NASA):;1983
contenttypefulltext
subject keywordsAERODYNAMICS
subject keywordsANGLE
subject keywordsATTACK
subject keywordsBASES
subject keywordsCOMPUTERS
subject keywordsCORRELATION
subject keywordsDATA
subject keywordsDIGITAL
subject keywordsDRAG
subject keywordsLIFT
subject keywordsMOMENTS
subject keywordsPITCHING
subject keywordsPLANFORMS
subject keywordsTESTS
subject keywordsTUNNEL
subject keywordsWIND


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