Boundary layer measurement in MTL wind tunnel, KTH February-August 2016 Details about the experiments can be found in: Sanmiguel Vila, C., Vinuesa, R., Discetti, S., Ianiro, A., Schlatter, P. and Örlü, R. (2019) Experimental realisation of near-equilibrium adverse-pressure-gradient turbulent boundary layers. Exp. Therm. Fluid Sci. DOI: 10.1016/j.expthermflusci.2019.109975 Contact scientist: Ramis Orlu ramis@mech.kth.se (Note that number decimal places does not indicate the accuracy of the data.) Date: 06-Nov-2019 orig. case name: Trip6_may03_x4525mm_12ms_R12 HW diameter [micron]: 2.5 HW length in viscous units [-]: 10.5 HW Overheat ratio [%]: 80 sampling freq. [Hz]: 60000 Number of samples: 12000000 Temperature [C]: 19.24 atm. pressure [Pa]: 101943.3784 kin. viscosity [m^2/s]: 1.4895e-05 Downstream position (from leading edge) [mm]: 4525 Configuration: 1 Freestream vel. [m/s]: 9.6491 Friction velocity [m/s]: 0.29796 Viscous length scale [m]: 4.999e-05 Calculated values: Displacement thickness, d1 [m]: 0.023284 Momentum-loss thickness, d2 [m]: 0.015381 Boundary layer thickness (d99) [m]: 0.10679 Shape Factor (H_12): 1.514 Re_d1: 15084 Re_d2: 9964 Re_tau: 2136 Beta: 1.501 y [m] U [m/s] urms [m/s] uskew uflat y+ U+ urms+ 0.09860609 0.70702269 0.26603306 1.47683650 6.60233434 1.97250434 2.37287565 0.89284739 0.12060609 0.77689457 0.32913762 1.35999647 5.96777331 2.41258967 2.60737633 1.10463591 0.14360609 0.86380071 0.39103980 1.21817474 5.13988815 2.87267888 2.89904653 1.31238902 0.16760609 0.97842446 0.45638147 1.10351277 4.72799607 3.35277197 3.28374127 1.53168563 0.18360609 1.08450198 0.51012335 0.99290851 4.24248910 3.67283403 3.63975355 1.71205153 0.21260609 1.21655418 0.56808107 0.90894670 3.98192083 4.25294651 4.08294083 1.90656647 0.22860609 1.32841408 0.61062673 0.84200017 3.77406069 4.57300857 4.45835965 2.04935617 0.25760609 1.46343522 0.65383755 0.76446424 3.52418319 5.15312106 4.91151114 2.19437824 0.27260609 1.56692524 0.68473134 0.70317825 3.38471802 5.45317924 5.25883937 2.29806252 0.30260609 1.69869610 0.72161726 0.63239610 3.18678843 6.05329560 5.70108243 2.42185727 0.31860609 1.81510541 0.75174080 0.58833284 3.07305407 6.37335766 6.09176976 2.52295643 0.34760609 1.91223113 0.77327814 0.55496089 3.04042235 6.95347015 6.41773846 2.59523901 0.36360609 2.02003786 0.79801454 0.49642887 2.91175708 7.27353221 6.77955423 2.67825815 0.39260609 2.11325409 0.81358706 0.46746366 2.86243984 7.85364469 7.09240207 2.73052188 0.40760609 2.19095827 0.82837591 0.43994354 2.83189925 8.15370287 7.35318913 2.78015553 0.45960609 2.37048364 0.85256919 0.37951832 2.75835777 9.19390457 7.95570357 2.86135186 0.49860609 2.52089357 0.87823832 0.30944954 2.65544533 9.97405584 8.46050215 2.94750137 0.54860609 2.65545223 0.89138961 0.27388027 2.63440792 10.97424977 8.91210151 2.99163909 0.59360609 2.77697757 0.89482821 0.23699498 2.63410599 11.87442432 9.31995902 3.00317954 0.63560609 2.92051562 0.90766315 0.18691222 2.58561488 12.71458723 9.80169454 3.04625557 0.64060609 2.87969780 0.90074645 0.20950715 2.61500153 12.81460662 9.66470372 3.02304206 0.68260609 3.03447500 0.91488927 0.15815016 2.59530181 13.65476953 10.18415954 3.07050751 0.72660609 3.09828016 0.91072544 0.14396194 2.59140130 14.53494019 10.39829937 3.05653305 0.77260609 3.17240745 0.91209152 0.12666620 2.61996972 15.45511861 10.64708182 3.06111783 0.82260609 3.25342137 0.91298840 0.11409615 2.62331852 16.45531255 10.91897687 3.06412789 0.88060609 3.35722464 0.91124526 0.08306174 2.60449535 17.61553752 11.26735642 3.05827766 0.99860609 3.49917330 0.90325571 0.06956542 2.65900302 19.97599521 11.74375772 3.03146350 1.11060609 3.63037367 0.89695534 0.05060595 2.67669960 22.21642963 12.18408610 3.01031852 1.22360609 3.73705211 0.88310187 0.02631337 2.69444181 24.47686793 12.54211517 2.96382416 1.33760609 3.81049792 0.87387403 0.03358087 2.74448881 26.75731011 12.78861049 2.93285415 1.44660609 3.91147007 0.86914169 0.02677518 2.76595601 28.93773289 13.12748836 2.91697168 1.56160609 3.96848676 0.85294853 0.02062528 2.75739076 31.23817895 13.31884503 2.86262496 1.67360609 4.00488424 0.84590395 0.02987606 2.78165025 33.47861337 13.44100054 2.83898228 1.89760609 4.12596204 0.83089466 0.04761562 2.81044493 37.95948221 13.84735605 2.78860884 2.12460609 4.20969770 0.81769839 0.06685388 2.83255660 42.50036268 14.12838565 2.74432014 2.34760609 4.30353602 0.80667816 0.08257414 2.81779924 46.96122764 14.44332131 2.70733457 2.68760609 4.41902268 0.80155571 0.09419709 2.83730365 53.76254642 14.83091211 2.69014284 3.04560609 4.49264444 0.79314777 0.11829471 2.85023606 60.92393501 15.07799792 2.66192454 3.45560609 4.59727775 0.78508576 0.13042418 2.83233718 69.12552530 15.42916322 2.63486721 3.91960609 4.67508464 0.78539680 0.16082191 2.87715429 78.40732504 15.69029498 2.63591111 4.45160609 4.77555254 0.78308318 0.15886011 2.82850409 89.04938853 16.02748054 2.62814623 4.45460609 4.77232470 0.77786823 0.15397902 2.81360554 89.10940017 16.01664741 2.61064406 5.05760609 4.87236523 0.77613380 0.17130999 2.86664378 101.17173906 16.35239864 2.60482307 5.74960609 4.95368544 0.77690455 0.16560992 2.84983788 115.01442315 16.62532163 2.60740983 6.53360609 5.05104339 0.78218183 0.16937080 2.82538071 130.69746409 16.95206972 2.62512116 7.42860609 5.12672067 0.78136559 0.17884349 2.83997486 148.60093557 17.20605417 2.62238175 8.44660609 5.23078720 0.78662009 0.17128823 2.85727209 168.96488414 17.55531727 2.64001664 9.60660609 5.32249026 0.78474167 0.18193534 2.80964138 192.16938349 17.86308668 2.63371237 10.92760609 5.41067474 0.78476151 0.16500075 2.81458802 218.59450732 18.15904721 2.63377897 12.43260609 5.53850792 0.78892562 0.15835479 2.80538084 248.70034484 18.58807481 2.64775436 14.14760609 5.66711828 0.79233342 0.15267341 2.79468669 283.00699689 19.01971073 2.65919144 16.09960609 5.79132795 0.79418773 0.13443895 2.79089899 322.05456821 19.43657727 2.66541479 18.32360609 5.89452214 0.79575140 0.14168847 2.78224365 366.54319455 19.78291267 2.67066269 20.85560609 6.05324827 0.79918898 0.12371527 2.78072452 417.19301554 20.31562170 2.68219973 23.74060609 6.20906624 0.80072358 0.09410686 2.74183526 474.90420574 20.83857050 2.68735011 27.02760609 6.37562231 0.80908926 0.08229516 2.74849817 540.65695519 21.39755801 2.71542658 30.76860609 6.60152844 0.81188017 0.03698092 2.73484181 615.49146559 22.15573332 2.72479331 35.03260609 6.81230117 0.80743538 -0.01947242 2.72289166 700.78800458 22.86311867 2.70987590 39.88560609 7.07266347 0.80759281 -0.07740687 2.73411692 797.86682815 23.73693414 2.71040427 45.41560609 7.37891312 0.79411283 -0.16399452 2.75153084 908.48827764 24.76475452 2.66516341 51.71360609 7.69054230 0.77520474 -0.24697411 2.75565179 1034.47270600 25.81062945 2.60170499 58.88760609 8.05012284 0.73634873 -0.38079123 2.88327906 1177.98053215 27.01743641 2.47129832 67.05760609 8.42511943 0.68004312 -0.54821214 3.07786836 1341.41222154 28.27598199 2.28232811 76.36460609 8.82891641 0.59351043 -0.85958617 3.70716684 1527.58832106 29.63118607 1.99191127 86.96260609 9.20297419 0.46282667 -1.34176498 5.30301049 1739.58942805 30.88658087 1.55331667 99.03560609 9.47888428 0.29894067 -1.98381348 10.64874125 1981.09625620 31.81257707 1.00329034 112.78460609 9.60964261 0.18499952 -0.77581285 12.18545398 2256.12958513 32.25142193 0.62088653 128.44760609 9.64070568 0.15622849 0.87746292 8.10261532 2569.45033799 32.35567432 0.52432658 146.28460609 9.65119985 0.15529844 1.36942781 14.08147566 2926.25952324 32.39089433 0.52120520 166.60160609 9.65056116 0.17028147 0.96642622 14.95036784 3332.67832780 32.38875080 0.57149049 189.74260609 9.63159613 0.20573231 -0.24439086 21.13106136 3795.58808595 32.32510126 0.69046891 216.09960609 9.59267773 0.27884120 -1.96503592 24.86559196 4322.83031816 32.19448520 0.93583349 216.09960609 9.60061577 0.28245227 -1.78531349 24.09211418 4322.83031816 32.22112648 0.94795278 216.09960609 9.61133526 0.27428173 -1.69978610 24.62492074 4322.83031816 32.25710271 0.92053119