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_x3400mm_12ms_R12 HW diameter [micron]: 2.5 HW length in viscous units [-]: 11.4 HW Overheat ratio [%]: 80 sampling freq. [Hz]: 60000 Number of samples: 7200000 Temperature [C]: 19.24 atm. pressure [Pa]: 101972.027 kin. viscosity [m^2/s]: 1.4891e-05 Downstream position (from leading edge) [mm]: 3400 Configuration: 1 Freestream vel. [m/s]: 10.1431 Friction velocity [m/s]: 0.32376 Viscous length scale [m]: 4.5995e-05 Calculated values: Displacement thickness, d1 [m]: 0.016483 Momentum-loss thickness, d2 [m]: 0.010798 Boundary layer thickness (d99) [m]: 0.072946 Shape Factor (H_12): 1.526 Re_d1: 11228 Re_d2: 7355 Re_tau: 1586 Beta: 1.2992 y [m] U [m/s] urms [m/s] uskew uflat y+ U+ urms+ 0.09236420 0.87243835 0.29913305 1.38306038 6.05730205 2.00815201 2.69471575 0.92393754 0.11436420 0.92731328 0.36725119 1.30433009 5.63995651 2.48646874 2.86420891 1.13433525 0.13736420 1.02717090 0.43884943 1.17269429 4.96576651 2.98652715 3.17264090 1.35548198 0.15636420 1.12971789 0.50658421 1.06766453 4.51588351 3.39961888 3.48937959 1.56469559 0.18236420 1.27415719 0.57371928 0.97986534 4.18542969 3.96490230 3.93551182 1.77205687 0.20636420 1.40518229 0.62731679 0.87289581 3.81803235 4.48670238 4.34021135 1.93760444 0.22236420 1.53038840 0.68401600 0.81799678 3.67124728 4.83456909 4.72693767 2.11273229 0.25136420 1.67668746 0.72693650 0.72011424 3.37987944 5.46507752 5.17881418 2.24530160 0.26436420 1.79661191 0.76051329 0.64979838 3.20401060 5.74771923 5.54922693 2.34901082 0.29536420 1.95326905 0.80070942 0.60210881 3.13596252 6.42171100 6.03309659 2.47316532 0.32336420 2.06774526 0.82927542 0.55411400 3.02075069 7.03047776 6.38668129 2.56139762 0.33536420 2.20089679 0.85533338 0.48926488 2.89229584 7.29137779 6.79794877 2.64188332 0.36136420 2.29633169 0.87578540 0.46293849 2.84719879 7.85666121 7.09272025 2.70505382 0.38536420 2.41150841 0.89611562 0.41966562 2.77295563 8.37846129 7.44846859 2.76784813 0.40636420 2.50385189 0.91061927 0.39083582 2.74330241 8.83503636 7.73369154 2.81264581 0.45636420 2.70429174 0.93656312 0.32087079 2.64656612 9.92211985 8.35279366 2.89277904 0.48936420 2.84627964 0.94575106 0.26837550 2.63356647 10.63959496 8.79135419 2.92115801 0.53836420 2.98717881 0.95915003 0.23274333 2.59688682 11.70493679 9.22655195 2.96254364 0.58536420 3.13293573 0.97270822 0.18823620 2.58458383 12.72679527 9.67675390 3.00442104 0.63236420 3.23291301 0.97668729 0.17766703 2.58763769 13.74865376 9.98555550 3.01671127 0.63236420 3.26044747 0.96872596 0.15629241 2.59816386 13.74865376 10.07060168 2.99212099 0.67436420 3.37285761 0.98415384 0.14245032 2.57199500 14.66180389 10.41780486 3.03977333 0.72136420 3.45809835 0.97559417 0.11651534 2.57311754 15.68366238 10.68108945 3.01333492 0.76736420 3.56256478 0.97812176 0.09478581 2.61184898 16.68377920 11.00375673 3.02114195 0.81436420 3.63140366 0.97602642 0.09437478 2.62583370 17.70563768 11.21638061 3.01467004 0.87536420 3.74158631 0.96886197 0.05422113 2.64229338 19.03187955 11.55670370 2.99254106 0.99336420 3.90034564 0.96922482 0.05447919 2.66049783 21.59739659 12.04706645 2.99366180 1.10336420 4.01865664 0.94933751 0.03048006 2.69047992 23.98898028 12.41249572 2.93223552 1.21836420 4.11539026 0.92638858 0.00270224 2.71280292 26.48927232 12.71127856 2.86135277 1.32836420 4.22449554 0.92590099 0.02031841 2.73246779 28.88085601 13.04827397 2.85984673 1.44236420 4.28340480 0.91342381 0.02265472 2.76727414 31.35940638 13.23022804 2.82130825 1.55336420 4.35230308 0.90495917 0.02876399 2.79535666 33.77273174 13.44303538 2.79516337 1.66836420 4.42262593 0.89296925 0.02876543 2.78640086 36.27302378 13.66024279 2.75812988 1.89136420 4.53122732 0.87413133 0.06779531 2.81784771 41.12141617 13.99568183 2.69994487 2.11836420 4.63639506 0.87078414 0.09268359 2.84010684 46.05677524 14.32051528 2.68960635 2.34236420 4.73005983 0.85222033 0.07338758 2.80069856 50.92690930 14.60981933 2.63226798 2.68136420 4.81412978 0.84082408 0.13707766 2.86677710 58.29733540 14.86948767 2.59706819 3.03636420 4.92006819 0.83731837 0.12327355 2.83391425 66.01562822 15.19670150 2.58624003 3.44136420 5.02068479 0.83310929 0.14861366 2.83788587 74.82100453 15.50747776 2.57323937 3.90336420 5.10886025 0.82782375 0.14800877 2.84284610 84.86565603 15.77982686 2.55691385 4.42336420 5.21526949 0.82908527 0.14589251 2.80296161 96.17132439 16.10849497 2.56081032 4.42736420 5.22437522 0.83201956 0.15650407 2.80374948 96.25829106 16.13662000 2.56987349 5.02636420 5.30290028 0.83400598 0.16741969 2.79587976 109.28155134 16.37916172 2.57600900 5.70436420 5.41844261 0.83097081 0.17192821 2.81338907 124.02240354 16.73603937 2.56663422 6.47636420 5.50277713 0.84022721 0.16766571 2.76629320 140.80697271 16.99652489 2.59522462 7.35736420 5.62251222 0.83959219 0.16646319 2.78641379 159.96138390 17.36635277 2.59326323 8.35636420 5.71721341 0.83254194 0.17570676 2.79991934 181.68131214 17.65885802 2.57148699 9.49536420 5.85746838 0.83499682 0.15204599 2.80515844 206.44507417 18.09206601 2.57906941 10.79036420 5.98343935 0.84525222 0.15239008 2.75948420 234.60053670 18.48115479 2.61074544 12.26336420 6.11001370 0.83878351 0.10883557 2.75343117 266.62601648 18.87210721 2.59076543 13.93936420 6.29796222 0.85134329 0.10856434 2.75799635 303.06505525 19.45262713 2.62955906 15.84636420 6.42986227 0.84987153 0.09496232 2.73820989 344.52641976 19.86002914 2.62501321 18.01636420 6.62536450 0.85254559 0.07000801 2.73863892 391.70584347 20.46388032 2.63327262 20.48436420 6.81739332 0.84720528 0.03764664 2.75135852 445.36428480 21.05700313 2.61677792 23.29036420 7.06299497 0.85099602 -0.00588663 2.74400694 506.37141057 21.81559727 2.62848643 26.48736420 7.31328475 0.84479620 -0.07921739 2.72994178 575.87952927 22.58867175 2.60933695 30.12236420 7.59006927 0.83279511 -0.15249841 2.78451939 654.91049939 23.44358098 2.57226897 34.25836420 7.90877347 0.80985169 -0.20409937 2.78924824 744.83404614 24.42796827 2.50140320 38.96436420 8.28637999 0.77855555 -0.32548057 2.88975213 847.15034474 25.59428819 2.40473828 44.31636420 8.63470442 0.72682963 -0.42245188 2.99239779 963.51176209 26.67016401 2.24497150 50.40636420 9.06393465 0.65536642 -0.61268386 3.21939523 1095.91853184 27.99593502 2.02424183 57.33536420 9.44684975 0.55470088 -0.92754649 3.88083773 1246.56656265 29.17865165 1.71331440 65.21836420 9.85247824 0.39939580 -1.54103250 6.26164476 1417.95614655 30.43152351 1.23362086 74.18736420 10.07202928 0.22328550 -2.31568900 14.14328482 1612.95718397 31.10965468 0.68966585 84.39136420 10.15866372 0.11560513 -0.54317838 12.28765212 1834.80918372 31.37724401 0.35707161 96.00236420 10.15970777 0.09201046 0.60576201 4.47118364 2087.25171305 31.38046878 0.28419433 109.20936420 10.17647357 0.08735198 0.51530371 3.65976327 2374.39394754 31.43225362 0.26980559 124.23736420 10.15774424 0.09171308 0.91433528 9.21551897 2701.12776295 31.37440399 0.28327580 141.33336420 10.15241475 0.09823143 1.14802858 9.22546976 3072.82335172 31.35794271 0.30340914 160.78536420 10.16805765 0.11202064 1.39364208 11.50252911 3495.74231481 31.40625921 0.34600014 182.91536420 10.14067885 0.13958696 1.03574870 21.62536058 3976.88546991 31.32169384 0.43114472 208.09336420 10.13086960 0.20366053 0.60478254 33.90448998 4524.29723489 31.29139581 0.62904988 208.09336420 10.12664374 0.19345384 1.17919565 25.74489003 4524.29723489 31.27834335 0.59752429 208.09336420 10.16410612 0.19858081 0.78978077 30.83481913 4524.29723489 31.39405406 0.61336006