LEADER 01567nam 2200421 450 001 9910717248903321 005 20220322113544.0 035 $a(CKB)5470000002529737 035 $a(OCoLC)1304838771 035 $a(EXLCZ)995470000002529737 100 $a20220322j202203 ua 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIdentification of best practices for predicting inlet performance using FUN3D part 2 $einstalled inlets /$fMichael D. Bozeman Jr. and Jan-Renee Carlson 210 1$aHampton, Virginia :$cNational Aeronautics and Space Administration, Langley Research Center,$dMarch 2022. 215 $a1 online resource (69 pages) $cillustrations (chiefly color) 225 1 $aNASA/TM ;$v20210022214 300 $a"March 2022." 320 $aIncludes bibliographical references (pages 68-69). 517 $aIdentification of best practices for predicting inlet performance using FUN3D part 2 606 $aAerodynamics$2nasat 606 $aTurbulence models$2nasat 606 $aBoundary conditions$2nasat 615 7$aAerodynamics. 615 7$aTurbulence models. 615 7$aBoundary conditions. 700 $aBozeman$b Michael D.$01389807 702 $aCarlson$b Jan-Renee 712 02$aLangley Research Center, 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910717248903321 996 $aIdentification of best practices for predicting inlet performance using FUN3D part 2$93441824 997 $aUNINA