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_may05_x3150mm_6ms_R12 HW diameter [micron]: 2.5 HW length in viscous units [-]: 6.9 HW Overheat ratio [%]: 80 sampling freq. [Hz]: 20000 Number of samples: 2000000 Temperature [C]: 19.24 atm. pressure [Pa]: 102393.6364 kin. viscosity [m^2/s]: 1.483e-05 Downstream position (from leading edge) [mm]: 3150 Configuration: 1 Freestream vel. [m/s]: 5.3498 Friction velocity [m/s]: 0.19531 Viscous length scale [m]: 7.5931e-05 Calculated values: Displacement thickness, d1 [m]: 0.015235 Momentum-loss thickness, d2 [m]: 0.0099959 Boundary layer thickness (d99) [m]: 0.068946 Shape Factor (H_12): 1.524 Re_d1: 5496 Re_d2: 3606 Re_tau: 908 Beta: 1.1145 y [m] U [m/s] urms [m/s] uskew uflat y+ U+ urms+ 0.19645793 0.58628122 0.19399388 1.13446685 4.82682833 2.58733541 3.00181647 0.99326741 0.22945793 0.62684906 0.22947145 1.07425740 4.56341261 3.02194281 3.20952770 1.17491598 0.27345793 0.71151612 0.27895619 0.91314165 3.99025339 3.60141933 3.64303121 1.42828261 0.32645793 0.82945026 0.33863653 0.80383839 3.64088216 4.29942515 4.24686543 1.73385173 0.39345793 0.97661161 0.38478906 0.64740853 3.26360809 5.18180986 5.00034573 1.97015716 0.47745793 1.15576206 0.42990914 0.53556081 2.99379962 6.28808324 5.91761333 2.20117633 0.58245793 1.36936365 0.47290921 0.37537398 2.76018190 7.67092495 7.01127411 2.42134082 0.71545793 1.57345393 0.50459826 0.32479827 2.64935338 9.42252446 8.05623604 2.58359179 0.87845793 1.79554973 0.52136682 0.17364664 2.52883404 11.56922159 9.19338798 2.66944847 1.08545793 1.94906123 0.52811705 0.09618578 2.51683410 14.29539526 9.97938168 2.70401030 1.34645793 2.13400028 0.52849149 0.03656748 2.60036852 17.73274467 10.92628745 2.70592743 1.66845793 2.29840876 0.51897130 -0.00937816 2.62654620 21.97345926 11.76807476 2.65718315 2.07445793 2.45374048 0.50121661 -0.01904014 2.67974999 27.32044722 12.56338816 2.56627745 2.58245793 2.57207582 0.48225809 0.00314134 2.75054646 34.01076714 13.16927653 2.46920801 3.21945793 2.66473780 0.46366528 0.05329896 2.86029344 42.40000687 13.64371480 2.37401102 4.01645793 2.77369379 0.45566182 0.07629713 2.81778933 52.89643398 14.20158000 2.33303251 5.01545793 2.88402343 0.45059701 0.08980452 2.79762939 66.05318515 14.76647842 2.30710021 6.26645793 2.96775723 0.44055981 0.12705727 2.83764059 82.52875644 15.19520357 2.25570874 7.83245793 3.06726359 0.44038251 0.14883128 2.81236060 103.15285287 15.70468571 2.25480098 9.79145793 3.18085220 0.44143200 0.15335045 2.79435353 128.95272829 16.28627039 2.26017444 9.79445793 3.21573081 0.44498325 0.12681629 2.80748995 128.99223805 16.46485222 2.27835718 12.25245793 3.33556958 0.44461767 0.12506066 2.76094438 161.36390410 17.07843831 2.27648540 15.33045793 3.49342518 0.44656125 0.08606080 2.79373959 201.90092122 17.88667424 2.28643670 19.18545793 3.65001586 0.44616595 0.01721880 2.71229362 252.67096703 18.68843359 2.28441275 24.01345793 3.83979263 0.43794921 -0.04638880 2.74914035 316.25534607 19.66010897 2.24234222 30.06145793 4.11794742 0.42639177 -0.16440998 2.75626275 395.90702883 21.08428840 2.18316701 36.72945793 4.41120737 0.40276377 -0.25954199 2.79336629 483.72406268 22.58580761 2.06218938 43.39545793 4.64015683 0.36099539 -0.43849310 2.98286850 571.51475668 23.75805098 1.84833127 50.06245793 4.85772350 0.32458166 -0.71222583 3.40159795 659.31862060 24.87201335 1.66188943 56.72945793 5.06832459 0.26537565 -1.10166450 4.39388533 747.12248452 25.95031124 1.35874893 63.39545793 5.24339792 0.18853297 -1.76436644 7.55911774 834.91317853 26.84670360 0.96530699 70.06245793 5.30697361 0.11901295 -2.24830149 13.76289714 922.71704245 27.17221726 0.60935779 76.72945793 5.32759567 0.07383226 -1.48318851 16.08523635 1010.52090637 27.27780423 0.37802831 83.39445793 5.35516435 0.05619583 -0.20634456 9.94275699 1098.29843045 27.41895852 0.28772808 90.06245793 5.36910651 0.04745498 0.47068930 3.72083309 1186.11546430 27.49034374 0.24297406 99.06245793 5.34728133 0.04548429 0.59141998 4.06250594 1304.64475413 27.37859670 0.23288395 113.20445793 5.34790242 0.04522251 0.62076600 4.15033577 1490.89377821 27.38177671 0.23154363 127.34845793 5.34434836 0.04783954 0.94565269 5.31078700 1677.16914215 27.36357960 0.24494308 141.49045793 5.36820258 0.05846263 1.10734241 5.99074216 1863.41816623 27.48571551 0.29933429 155.63345793 5.35382549 0.06439794 1.27043584 10.52302252 2049.68036024 27.41210343 0.32972369 169.77645793 5.33543159 0.07787678 1.40893695 23.22337980 2235.94255425 27.31792488 0.39873663 183.91945793 5.34132875 0.08513672 1.79061758 15.57348726 2422.20474826 27.34811893 0.43590820 198.06245793 5.34026842 0.11775824 0.47334849 31.29509388 2608.46694227 27.34268993 0.60293355 198.06245793 5.34579928 0.10790504 1.46698260 24.31794543 2608.46694227 27.37100847 0.55248423