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_may02_x3900mm_12ms_R12 HW diameter [micron]: 2.5 HW length in viscous units [-]: 10.8 HW Overheat ratio [%]: 80 sampling freq. [Hz]: 60000 Number of samples: 12000000 Temperature [C]: 19.24 atm. pressure [Pa]: 101878.9189 kin. viscosity [m^2/s]: 1.4905e-05 Downstream position (from leading edge) [mm]: 3900 Configuration: 1 Freestream vel. [m/s]: 9.8291 Friction velocity [m/s]: 0.30635 Viscous length scale [m]: 4.8653e-05 Calculated values: Displacement thickness, d1 [m]: 0.019849 Momentum-loss thickness, d2 [m]: 0.013 Boundary layer thickness (d99) [m]: 0.087462 Shape Factor (H_12): 1.527 Re_d1: 13089 Re_d2: 8573 Re_tau: 1798 Beta: 1.0085 y [m] U [m/s] urms [m/s] uskew uflat y+ U+ urms+ 0.11413971 0.86508887 0.32700327 1.34996141 5.85253615 2.34597199 2.82387055 1.06742203 0.13513971 0.93103919 0.38874185 1.25842678 5.36525836 2.77759575 3.03914919 1.26895247 0.16013971 1.02878836 0.45276927 1.11585001 4.67098634 3.29143356 3.35822741 1.47795429 0.17713971 1.13670321 0.51299181 1.02060920 4.35237659 3.64084328 3.71048897 1.67453602 0.20513971 1.24943796 0.56802171 0.94056018 4.06466759 4.21634163 4.07848394 1.85416764 0.22213971 1.37269460 0.61319833 0.83716141 3.73648043 4.56575134 4.48082504 2.00163563 0.24913971 1.49371111 0.65727347 0.77174876 3.52775020 5.12069618 4.87585377 2.14550813 0.27313971 1.62283428 0.70447219 0.70921105 3.37503121 5.61398048 5.29734470 2.29957676 0.28913971 1.73046984 0.73197875 0.64816398 3.21858611 5.94283667 5.64869460 2.38936518 0.31813971 1.86533540 0.76673970 0.60221159 3.10216635 6.53888854 6.08893015 2.50283378 0.33413971 1.97235024 0.78974187 0.54266860 3.01464390 6.86774474 6.43825385 2.57791874 0.36113971 2.07984533 0.81544731 0.50126195 2.91930351 7.42268957 6.78914524 2.66182785 0.38313971 2.17489628 0.83170502 0.45503692 2.84343153 7.87486685 7.09941577 2.71489717 0.40713971 2.28194042 0.85302699 0.42612930 2.79943778 8.36815115 7.44883511 2.78449750 0.43013971 2.36355909 0.86176687 0.39886228 2.76754077 8.84088194 7.71525924 2.81302670 0.46913971 2.53847127 0.88438737 0.34287341 2.70861437 9.64246892 8.28621720 2.88686576 0.51713971 2.67776308 0.91128021 0.30113164 2.65706750 10.62903752 8.74090115 2.97465087 0.56513971 2.81739895 0.91729538 0.24938757 2.63503556 11.61560612 9.19670821 2.99428589 0.60613971 2.93653553 0.92558013 0.21659019 2.59914842 12.45830013 9.58560040 3.02132943 0.65413971 3.05083025 0.92857780 0.17890113 2.60212687 13.44486873 9.95868749 3.03111459 0.65413971 3.07430400 0.93435586 0.17708102 2.59535122 13.44486873 10.03531178 3.04997566 0.69613971 3.16518303 0.93329393 0.15420099 2.60272674 14.30811626 10.33196411 3.04650924 0.74413971 3.24863893 0.93157249 0.12606396 2.60156646 15.29468486 10.60438541 3.04089002 0.78913971 3.32213868 0.93490806 0.10962628 2.59567153 16.21959292 10.84430736 3.05177818 0.83513971 3.40544239 0.93277233 0.09872280 2.59497538 17.16505449 11.11623189 3.04480661 0.89713971 3.51611185 0.92109744 0.07045008 2.62967530 18.43937227 11.47748521 3.00669679 1.01513971 3.65670673 0.91455017 0.04755263 2.66135552 20.86468674 11.93642272 2.98532484 1.12513971 3.75807338 0.90260532 0.03802995 2.68196332 23.12557311 12.26730931 2.94633382 1.24013971 3.86517543 0.89268134 0.03652087 2.72016522 25.48922705 12.61691769 2.91393939 1.35013971 3.95959058 0.88837113 0.03341110 2.75088407 27.75011342 12.92511279 2.89986979 1.46113971 4.04939312 0.88126369 0.03818777 2.76365869 30.03155331 13.21825120 2.87666930 1.57813971 4.11134905 0.86734519 0.04162002 2.79272325 32.43631427 13.42049115 2.83123576 1.68613971 4.18697835 0.85759841 0.04118609 2.79628025 34.65609362 13.66736443 2.79941977 1.91513971 4.28724401 0.84786221 0.06737768 2.81664301 39.36284798 13.99465710 2.76763834 2.13913971 4.38015899 0.83636891 0.06459960 2.81140875 43.96683478 14.29795530 2.73012129 2.36513971 4.45214920 0.82259964 0.09099965 2.83984531 48.61192860 14.53294967 2.68517486 2.70213971 4.54487577 0.81161755 0.10596729 2.84639680 55.53846231 14.83563283 2.64932652 3.06013971 4.62473034 0.80332229 0.14191314 2.86337338 62.89661978 15.09629850 2.62224868 3.46213971 4.72995820 0.80126625 0.13603029 2.84768006 71.15913180 15.43978908 2.61553724 3.92613971 4.82145840 0.79176951 0.13693977 2.83827394 80.69596159 15.73846902 2.58453746 4.44913971 4.91001385 0.79560202 0.18258548 2.84081024 91.44544862 16.02753660 2.59704778 4.45013971 4.90946667 0.79335938 0.15720282 2.82200730 91.46600213 16.02575046 2.58972721 5.04813971 4.99743395 0.79002613 0.18630013 2.83103365 103.75700260 16.31289807 2.57884663 5.72613971 5.09313510 0.79591292 0.18129629 2.83063007 117.69228406 16.62529102 2.59806261 6.49813971 5.19255166 0.79548507 0.17922625 2.84361180 133.55959570 16.94981201 2.59666601 7.37913971 5.27980101 0.79873337 0.18353753 2.81650150 151.66724021 17.23461613 2.60726929 8.37813971 5.39484500 0.80416720 0.16652920 2.82168286 172.20019918 17.61014903 2.62500668 9.51713971 5.49847264 0.79958749 0.17768791 2.82030477 195.61064990 17.94841605 2.61005735 10.81113971 5.61287968 0.80449868 0.16674902 2.80002466 222.20689506 18.32186979 2.62608872 12.28513971 5.73762505 0.80893757 0.15234981 2.78967916 252.50277246 18.72907049 2.64057838 13.96113971 5.84207285 0.81413915 0.15636650 2.79412181 286.95045939 19.07001471 2.65755769 15.86813971 5.99330252 0.81968681 0.13848444 2.76013702 326.14600770 19.56366690 2.67566665 18.03713971 6.14632442 0.81779909 0.11443072 2.76642722 370.72657629 20.06316939 2.66950465 20.50613971 6.32237151 0.82134659 0.09366489 2.76639652 421.47319862 20.63783195 2.68108459 23.31413971 6.51595565 0.82760512 0.05633680 2.73282970 479.18746168 21.26973994 2.70151404 26.50913971 6.71281137 0.82501674 0.01592723 2.73491553 544.85593408 21.91232718 2.69306489 30.14513971 6.95484895 0.81682949 -0.01993336 2.74127872 619.58850548 22.70239952 2.66633963 34.28013971 7.21414651 0.81019906 -0.09073365 2.73249965 704.57727961 23.54881285 2.64469622 38.98613971 7.52435295 0.79463878 -0.16740841 2.76500107 801.30210937 24.56140571 2.59390350 44.33813971 7.86730138 0.77648897 -0.26666099 2.81687733 911.30450820 25.68087681 2.53465789 50.42813971 8.21877587 0.73529303 -0.38556809 2.93020938 1036.47539924 26.82817910 2.40018385 57.35713971 8.61282223 0.67113424 -0.55304283 3.11645741 1178.89068726 28.11444685 2.19075321 65.24013971 9.01262691 0.58431988 -0.84052630 3.64341943 1340.91402620 29.41951123 1.90736901 74.20913971 9.40656388 0.44696060 -1.33349618 5.23129007 1525.25847969 30.70542189 1.45899332 84.41313971 9.69692930 0.27306348 -2.08614744 11.06756955 1734.98652110 31.65324864 0.89134881 96.02413971 9.82579127 0.14772322 -0.97699565 13.72482609 1973.63335459 32.07388694 0.48220623 109.23113971 9.82986725 0.11652103 0.72901188 5.47804189 2245.08359400 32.08719198 0.38035433 124.25913971 9.83427130 0.11079471 0.88552791 7.48718073 2553.96177965 32.10156793 0.36166216 141.35513971 9.82637001 0.11487614 0.82541664 13.37866430 2905.34462912 32.07577609 0.37498499 160.80613971 9.82489102 0.13138820 1.63833265 17.55334516 3305.13100050 32.07094829 0.42888456 182.93713971 9.81564634 0.15774422 1.74176056 22.16458665 3760.00078534 32.04077132 0.51491735 208.11513971 9.80292199 0.21886321 -0.62897196 36.20399362 4277.49712273 31.99923579 0.71442531 208.11513971 9.79307293 0.22791524 -1.10336946 39.56444301 4277.49712273 31.96708594 0.74397344 208.11513971 9.80853531 0.21107957 0.01648198 30.89631530 4277.49712273 32.01755910 0.68901752