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_x3150mm_12ms_R12 HW diameter [micron]: 2.5 HW length in viscous units [-]: 11.9 HW Overheat ratio [%]: 80 sampling freq. [Hz]: 60000 Number of samples: 7200000 Temperature [C]: 19.24 atm. pressure [Pa]: 101633.6486 kin. viscosity [m^2/s]: 1.494e-05 Downstream position (from leading edge) [mm]: 3150 Configuration: 1 Freestream vel. [m/s]: 10.3857 Friction velocity [m/s]: 0.33769 Viscous length scale [m]: 4.4242e-05 Calculated values: Displacement thickness, d1 [m]: 0.014724 Momentum-loss thickness, d2 [m]: 0.009698 Boundary layer thickness (d99) [m]: 0.066113 Shape Factor (H_12): 1.518 Re_d1: 10235 Re_d2: 6742 Re_tau: 1494 Beta: 1.3821 y [m] U [m/s] urms [m/s] uskew uflat y+ U+ urms+ 0.08744371 0.92306771 0.30417186 1.42369139 6.28817356 1.97649046 2.73344712 0.90073316 0.11044371 0.99226712 0.37754248 1.26925928 5.38539767 2.49635951 2.93836484 1.11800292 0.13244371 1.08720298 0.45258025 1.18478517 5.04622434 2.99362556 3.21949497 1.34020956 0.15544371 1.20991199 0.53090294 1.07277225 4.53477979 3.51349460 3.58286873 1.57214374 0.17744371 1.34045984 0.59850342 0.98210658 4.16127431 4.01076065 3.96945538 1.77232659 0.20144371 1.49885783 0.66535006 0.87282691 3.80106288 4.55323270 4.43851362 1.97027713 0.21744371 1.64365554 0.71362000 0.77430464 3.52843913 4.91488073 4.86729787 2.11321718 0.24644371 1.80152937 0.76034546 0.68874014 3.31776981 5.57036779 5.33480395 2.25158359 0.26244371 1.94098706 0.80283707 0.63685223 3.20242468 5.93201582 5.74777499 2.37741248 0.29144371 2.08043460 0.84539858 0.57269287 3.05231063 6.58750288 6.16071595 2.50344832 0.30744371 2.20019581 0.87053078 0.54425820 2.98010415 6.94915091 6.51536049 2.57787139 0.33644371 2.33468481 0.89627472 0.47673600 2.85530883 7.60463797 6.91361793 2.65410600 0.35244371 2.44098082 0.91274685 0.44478239 2.82366062 7.96628600 7.22838847 2.70288432 0.38044371 2.55747020 0.93695650 0.40802081 2.77603371 8.59917006 7.57334426 2.77457549 0.40244371 2.66551039 0.95000557 0.36328786 2.71004046 9.09643611 7.89327978 2.81321723 0.44844371 2.84396951 0.97763553 0.32341919 2.64387742 10.13617420 8.42174435 2.89503682 0.48844371 3.02062121 0.99064571 0.26724468 2.62838746 11.04029428 8.94485665 2.93356341 0.53844371 3.18146115 1.00388484 0.22677363 2.58351618 12.17044438 9.42114617 2.97276798 0.57844371 3.30004040 1.00165399 0.18691557 2.58316327 13.07456446 9.77229062 2.96616184 0.62644371 3.46722850 1.01535557 0.14400530 2.56692689 14.15950856 10.26737870 3.00673584 0.62844371 3.43888752 1.01455100 0.15555690 2.58257413 14.20471457 10.18345359 3.00435329 0.67244371 3.55966449 1.00989929 0.12420316 2.58962435 15.19924665 10.54110609 2.99057836 0.71644371 3.67413188 1.01620197 0.11210506 2.59244759 16.19377874 10.88007423 3.00924224 0.76244371 3.73907564 1.00839207 0.07891377 2.59886344 17.23351684 11.07238983 2.98611507 0.80944371 3.82494370 1.00242204 0.07395118 2.60155538 18.29585793 11.32666784 2.96843625 0.86944371 3.93440760 1.00167141 0.05934480 2.61454909 19.65203806 11.65081934 2.96621342 0.98544371 4.07658081 0.99392292 0.04477657 2.65516462 22.27398629 12.07183174 2.94326811 1.10144371 4.22030024 0.98579369 0.03261257 2.68688828 24.89593453 12.49742291 2.91919532 1.20944371 4.30501020 0.95707795 0.01842196 2.70814342 27.33705875 12.74827145 2.83416041 1.32544371 4.42467750 0.95315049 0.03443340 2.73415754 29.95900698 13.10263790 2.82253017 1.43744371 4.50474836 0.93851968 0.02964743 2.74795428 32.49054321 13.33974886 2.77920448 1.54844371 4.57480676 0.92776664 0.03082861 2.77063205 34.99947644 13.54721029 2.74736189 1.66244371 4.61308342 0.91597244 0.04679487 2.79550505 37.57621867 13.66055758 2.71243615 1.88844371 4.75438903 0.90669053 0.06947435 2.79042949 42.68449713 14.07900076 2.68494995 2.11244371 4.84501263 0.89131030 0.07988600 2.82323507 47.74756959 14.34736118 2.63940506 2.33744371 4.95648629 0.88960169 0.08947883 2.80833725 52.83324504 14.67746411 2.63434540 2.67444371 5.03097876 0.87566037 0.10446661 2.82716059 60.45045673 14.89805598 2.59306148 3.03444371 5.13756558 0.87008544 0.12303052 2.83984010 68.58753746 15.21368767 2.57655264 3.44444371 5.23832006 0.85834657 0.15922284 2.83713507 77.85476830 15.51204827 2.54179076 3.91144371 5.36792505 0.86401260 0.14169248 2.82565116 88.41037025 15.89584287 2.55856937 4.43944371 5.47390751 0.86249929 0.14797016 2.79310349 100.34475532 16.20968491 2.55408804 4.44344371 5.46196972 0.86171161 0.14654907 2.80853723 100.43516733 16.17433395 2.55175552 5.04744371 5.56130243 0.85813544 0.14878035 2.80233863 114.08738056 16.46848432 2.54116553 5.73744371 5.68274661 0.86261316 0.15597115 2.79081194 129.68345197 16.82811259 2.55442525 6.52244371 5.78269250 0.85628948 0.15190951 2.78301824 147.42680857 17.12407874 2.53569917 7.41844371 5.90157247 0.86810220 0.16079100 2.77648985 167.67909839 17.47611372 2.57067974 8.43444371 6.04978007 0.86981138 0.14844099 2.77683417 190.64374846 17.91499553 2.57574108 9.59544371 6.17386791 0.87770201 0.12496850 2.75549452 216.88583382 18.28245238 2.59910730 10.91744371 6.30627817 0.86915741 0.13575430 2.78054452 246.76700251 18.67455411 2.57380448 12.42144371 6.46499614 0.87897541 0.11862025 2.73238659 280.76191758 19.14455990 2.60287818 14.13644371 6.61948835 0.86841311 0.07442068 2.73766234 319.52606607 19.60205213 2.57160044 16.08844371 6.83632992 0.87406824 0.04249965 2.74524439 363.64712604 20.24417725 2.58834676 18.31244371 7.03660668 0.87331955 0.02400580 2.72596887 413.91620257 20.83724958 2.58612968 20.84444371 7.23881143 0.86052352 -0.00329098 2.73660046 471.14700373 21.43603124 2.54823726 23.72844371 7.51827264 0.86011788 -0.07340289 2.74248282 536.33406160 22.26358962 2.54703606 27.01444371 7.81353766 0.84567582 -0.14218455 2.76628939 610.60752629 23.13794729 2.50426931 30.75744371 8.13613001 0.81386855 -0.20403568 2.78367546 695.21056291 24.09322837 2.41007958 35.01844371 8.48146260 0.78413113 -0.31953532 2.86021139 791.52195458 25.11584932 2.32201923 39.87444371 8.88001147 0.73693402 -0.44655112 3.01061841 901.28213247 26.29605771 2.18225614 45.40444371 9.27293847 0.66092301 -0.60752414 3.23554170 1026.27673373 27.45961828 1.95716749 51.70144371 9.68772196 0.56046105 -0.91223117 3.83745374 1168.60783755 28.68790167 1.65967310 58.87644371 10.04543920 0.41555388 -1.51955175 6.03106008 1330.78437716 29.74719681 1.23056473 67.04644371 10.31238380 0.23189023 -2.40117514 14.16619929 1515.45090379 30.53769024 0.68668817 76.35244371 10.39327755 0.11365989 -0.95181200 17.23535091 1725.79444074 30.77723797 0.33657694 86.95144371 10.40267756 0.08503961 0.39033816 4.44089617 1965.36365932 30.80507388 0.25182473 99.02444371 10.39457797 0.07894397 0.52476693 3.69672499 2238.24970290 30.78108886 0.23377395 112.77444371 10.39848180 0.08118477 0.64673366 4.27069112 2549.04098090 30.79264913 0.24040953 128.43544371 10.38020063 0.08512420 0.77379029 5.61557615 2903.02659578 30.73851378 0.25207522 146.27344371 10.40634389 0.09429543 0.84045354 14.21945911 3306.21894610 30.81593087 0.27923366 166.59044371 10.37122901 0.11542275 1.64173691 18.72365049 3765.44413847 30.71194643 0.34179723 189.73144371 10.40039884 0.14933610 1.31830121 18.34745553 4288.50020858 30.79832600 0.44222359 216.08844371 10.35548400 0.23086208 -0.15580365 37.41088944 4884.24753325 30.66532132 0.68364354 216.08844371 10.36324177 0.21643575 0.52162535 27.58165789 4884.24753325 30.68829412 0.64092339 216.08844371 10.36573765 0.20959683 1.12369207 20.40408103 4884.24753325 30.69568506 0.62067154