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_mar8_x3900mm_30ms HW diameter [micron]: 2.5 HW length in viscous units [-]: 30.5 HW Overheat ratio [%]: 80 sampling freq. [Hz]: 60000 Number of samples: 1800000 Temperature [C]: 19.23 atm. pressure [Pa]: 100924.9296 kin. viscosity [m^2/s]: 1.5045e-05 Downstream position (from leading edge) [mm]: 3900 Configuration: 2 Freestream vel. [m/s]: 27.807 Friction velocity [m/s]: 0.8753 Viscous length scale [m]: 1.7188e-05 Calculated values: Displacement thickness, d1 [m]: 0.011837 Momentum-loss thickness, d2 [m]: 0.0084639 Boundary layer thickness (d99) [m]: 0.064664 Shape Factor (H_12): 1.399 Re_d1: 21879 Re_d2: 15644 Re_tau: 3762 Beta: 0.70928 y [m] U [m/s] urms [m/s] uskew uflat y+ U+ urms+ 0.07515370 4.11021231 1.75372570 1.14009156 4.50403748 4.37251397 4.69575705 2.00356312 0.07915370 4.24655740 1.78123425 1.06996482 4.28176407 4.60523778 4.85152599 2.03499056 0.08415370 4.42573927 1.90498196 1.04811379 4.17445349 4.89614253 5.05623428 2.17636749 0.08915370 4.61645687 1.93719446 0.94255343 3.83761482 5.18704729 5.27412169 2.21316901 0.09715370 4.74524829 1.98051317 0.92229658 3.80742492 5.65249490 5.42126086 2.26265895 0.10715370 5.11293785 2.08536790 0.80176274 3.45109579 6.23430441 5.84133181 2.38245139 0.11615370 5.51008917 2.17503167 0.70417355 3.24446161 6.75793297 6.29506169 2.48488874 0.12515370 5.83862817 2.27733476 0.65177423 3.11764676 7.28156153 6.67040466 2.60176602 0.13515370 6.09989709 2.32666449 0.59406710 3.02102207 7.86337105 6.96889420 2.65812332 0.13915370 6.48721388 2.39180875 0.54208526 2.92734819 8.09609485 7.41138851 2.73254809 0.15315370 6.81465772 2.43555704 0.47292493 2.83234384 8.91062817 7.78548031 2.78252880 0.16315370 7.05795926 2.48192061 0.42482803 2.77175110 9.49243768 8.06344281 2.83549737 0.17115370 7.37475703 2.51374158 0.39691826 2.73703132 9.95788529 8.42537189 2.87185158 0.19015370 7.83903914 2.56020171 0.32530613 2.66813545 11.06332336 8.95579608 2.92493047 0.20915370 8.29324767 2.58380626 0.28472134 2.64179594 12.16876144 9.47471158 2.95189774 0.22715370 8.67587060 2.59334456 0.22353558 2.60007111 13.21601856 9.91184333 2.96279488 0.24615370 9.05662655 2.60890335 0.20345068 2.61030057 14.32145663 10.34684214 2.98057019 0.26415370 9.30212993 2.60501552 0.19451593 2.61013352 15.36871375 10.62732017 2.97612850 0.28215370 9.65537324 2.61374698 0.17102853 2.59915762 16.41597088 11.03088685 2.98610384 0.30115370 9.86776269 2.59473802 0.13500886 2.60251489 17.52140895 11.27353351 2.96438685 0.32115370 10.15771885 2.59126220 0.11305627 2.60293641 18.68502797 11.60479709 2.96041586 0.34015370 10.35068588 2.57938552 0.10551791 2.61518355 19.79046605 11.82525438 2.94684722 0.35515370 10.55466023 2.57282517 0.08916961 2.63783501 20.66318032 12.05828712 2.93935228 0.40215370 10.96763019 2.55322379 0.06574604 2.63118975 23.39768502 12.53008917 2.91695846 0.45415370 11.32904814 2.51773780 0.07719492 2.67497008 26.42309449 12.94299506 2.87641711 0.49615370 11.62133143 2.48636111 0.05323575 2.70394079 28.86669444 13.27691730 2.84057046 0.54215370 11.83710161 2.45508854 0.04637344 2.71044357 31.54301819 13.52342631 2.80484277 0.63415370 12.30453863 2.42326852 0.04472873 2.73455061 36.89566571 14.05745485 2.76848965 0.63615370 12.34255654 2.38993810 0.04882391 2.73760348 37.01202761 14.10088883 2.73041094 0.72915370 12.71046218 2.39407917 0.04906150 2.76349572 42.42285607 14.52120665 2.73514195 0.82215370 12.91952251 2.34051290 0.07593348 2.76713386 47.83368454 14.76004991 2.67394459 0.91715370 13.15515785 2.34427618 0.07075117 2.76931965 53.36087490 15.02925408 2.67824398 1.01015370 13.38758816 2.30757411 0.08429230 2.79698903 58.77170337 15.29479664 2.63631330 1.15015370 13.70785552 2.29872815 0.10462321 2.78938833 66.91703654 15.66068959 2.62620714 1.32915370 13.99643572 2.25411574 0.09639793 2.75642325 77.33142681 15.99038120 2.57523920 1.33015370 14.02525038 2.26989676 0.12098820 2.81300087 77.38960776 16.02330082 2.59326840 1.54615370 14.37840796 2.27041906 0.10151646 2.75941424 89.95669323 16.42676957 2.59386511 1.79615370 14.62635265 2.24837507 0.11537877 2.80193952 104.50193103 16.71003669 2.56868071 2.08215370 14.94507443 2.26495524 0.09454828 2.73047537 121.14168308 17.07416388 2.58762291 2.42315370 15.29933583 2.27292423 0.09976300 2.72431789 140.98138745 17.47889370 2.59672716 2.81615370 15.68616033 2.26214350 0.08103942 2.74579178 163.84650128 17.92082557 2.58441060 3.27915370 16.03486543 2.26335734 0.07785811 2.70896534 190.78428170 18.31920753 2.58579737 3.82215370 16.34986867 2.26602055 0.07194737 2.72384232 222.37653822 18.67908643 2.58883998 4.45515370 16.74115412 2.26700778 0.04326694 2.69527394 259.20508034 19.12611478 2.58996786 5.19215370 17.10866384 2.25517519 0.04639193 2.70456050 302.08444140 19.54598028 2.57644958 6.06315370 17.49368242 2.22139888 0.01954028 2.72160372 352.76004991 19.98584897 2.53786147 7.06615370 17.78111780 2.23117114 0.02199664 2.72404528 411.11554399 20.31423266 2.54902589 8.24915370 18.24988351 2.22018113 0.02926459 2.71461144 479.94360929 20.84977918 2.53647024 9.62615370 18.60783968 2.19463158 0.02731584 2.70203109 560.05877913 21.25873013 2.50728087 11.24215370 19.05919816 2.14373304 0.00279801 2.73889173 654.07919631 21.77438956 2.44913128 13.12615370 19.48776547 2.11286391 -0.01466405 2.71967916 763.69210843 22.26401098 2.41386450 15.32815370 20.00943875 2.11306641 -0.02784714 2.71277921 891.80656303 22.86000233 2.41409585 17.90415370 20.58843114 2.09008369 -0.07808774 2.73283913 1041.68069338 23.52147852 2.38783899 20.91115370 21.21082948 2.04176148 -0.10658493 2.77638417 1216.63081372 24.23254432 2.33263276 24.42915370 21.87525476 2.00612038 -0.15883293 2.74169638 1421.31140014 24.99162425 2.29191419 28.53715370 22.63560380 1.94552832 -0.24292441 2.78948718 1660.31874777 25.86029333 2.22269012 33.33815370 23.55513020 1.84343045 -0.32765005 2.84873532 1939.64549461 26.91081634 2.10604730 38.95215370 24.53187746 1.69799759 -0.50071079 3.08087112 2266.27335479 28.02671194 1.93989593 45.51015370 25.56611564 1.50042981 -0.72030624 3.40496230 2647.82403294 29.20828866 1.71418245 53.17715370 26.62652352 1.18627024 -1.18166187 4.60156973 3093.89738599 30.41976326 1.35526742 62.13415370 27.43486723 0.74703147 -2.03130184 9.68469274 3615.02416612 31.34326438 0.85345428 72.60915370 27.82440247 0.34555920 -1.25929640 15.03142945 4224.46963021 31.78829317 0.39478789 84.84115370 27.83311403 0.24744480 0.54360408 4.50542354 4936.13902561 31.79824579 0.28269603 99.14315370 27.84020330 0.23553448 0.51682492 3.91087026 5768.24299005 31.80634501 0.26908894 115.85415370 27.88730301 0.24986656 0.70422073 9.35499431 6740.50486599 31.86015459 0.28546279 135.38715370 27.84364505 0.28430924 1.08574362 14.07894139 7876.95338629 31.81027707 0.32481220 158.21415370 27.86855677 0.37889914 2.03144666 24.09019190 9205.04995994 31.83873774 0.43287747 184.89015370 27.77958977 0.62963200 -2.07248434 40.15848320 10757.08501485 31.73709641 0.71932997 216.07015370 27.58818222 1.07175807 -2.87276181 24.26234093 12571.16707408 31.51842077 1.22444174 216.07015370 27.60562960 1.05583021 -2.64157611 21.99908552 12571.16707408 31.53835371 1.20624478 216.07115370 27.59192688 1.04783749 -2.53745566 21.84262496 12571.22525503 31.52269889 1.19711341