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_x2900mm_6ms_R12 HW diameter [micron]: 2.5 HW length in viscous units [-]: 7.2 HW Overheat ratio [%]: 80 sampling freq. [Hz]: 20000 Number of samples: 1200000 Temperature [C]: 19.25 atm. pressure [Pa]: 102481.8667 kin. viscosity [m^2/s]: 1.4818e-05 Downstream position (from leading edge) [mm]: 2900 Configuration: 1 Freestream vel. [m/s]: 5.4907 Friction velocity [m/s]: 0.20309 Viscous length scale [m]: 7.296e-05 Calculated values: Displacement thickness, d1 [m]: 0.013154 Momentum-loss thickness, d2 [m]: 0.0087314 Boundary layer thickness (d99) [m]: 0.06223 Shape Factor (H_12): 1.506 Re_d1: 4874 Re_d2: 3235 Re_tau: 853 Beta: 1.062 y [m] U [m/s] urms [m/s] uskew uflat y+ U+ urms+ 0.20445418 0.62374170 0.19886056 1.12902445 4.86420260 2.80226132 3.07125766 0.97917459 0.21545418 0.64291251 0.22033992 1.17554209 5.05860736 2.95302799 3.16565331 1.08493735 0.23545418 0.67155389 0.24094314 1.06805815 4.52021296 3.22714920 3.30668135 1.18638607 0.25845418 0.73058961 0.27855359 0.93357748 4.02775729 3.54238859 3.59736881 1.37157711 0.29545418 0.80003722 0.31222337 0.85052884 3.78612670 4.04951282 3.93932368 1.53736464 0.31945418 0.87177248 0.34556831 0.78022687 3.58461377 4.37845827 4.29254275 1.70155261 0.35445418 0.93667268 0.37295816 0.71146094 3.41268196 4.85817039 4.61210654 1.83641821 0.38445418 1.02618055 0.40010629 0.64766151 3.23793880 5.26935220 5.05283658 1.97009357 0.41445418 1.09159267 0.42343234 0.61142319 3.18844312 5.68053401 5.37492098 2.08494932 0.44345418 1.16920989 0.44005605 0.55119831 3.03544396 6.07800977 5.75710240 2.16680319 0.47545418 1.23921895 0.45716241 0.52980705 2.99812271 6.51660370 6.10182182 2.25103367 0.49845418 1.29199304 0.47013951 0.48779996 2.89521588 6.83184309 6.36167749 2.31493192 0.53345418 1.37110766 0.48637225 0.43593244 2.82028184 7.31155521 6.75123197 2.39486071 0.56445418 1.42861449 0.49678831 0.40545102 2.76350553 7.73644308 7.03439134 2.44614863 0.59445418 1.48329007 0.50787197 0.37554749 2.72093534 8.14762489 7.30360985 2.50072377 0.62645418 1.53934367 0.51271473 0.33470300 2.67178600 8.58621883 7.57961357 2.52456917 0.67945418 1.62816327 0.52709200 0.30120058 2.62848756 9.31264003 8.01695466 2.59536176 0.74645418 1.73327682 0.54015597 0.26336265 2.59429837 10.23094608 8.53452597 2.65968778 0.79945418 1.79852172 0.55006025 0.22586659 2.55389088 10.95736728 8.85578698 2.70845571 0.86445418 1.87340479 0.54888491 0.17636939 2.55198785 11.84826121 9.22450563 2.70266842 0.86545418 1.90214953 0.55640973 0.18241034 2.53042048 11.86196727 9.36604263 2.73972007 0.92045418 1.96051913 0.55510678 0.14896205 2.52015424 12.61580059 9.65345016 2.73330445 0.98445418 2.02668090 0.56023135 0.10588245 2.50239577 13.49298846 9.97922579 2.75853744 1.04545418 2.07928474 0.55971681 0.10031132 2.55572951 14.32905815 10.23824318 2.75600390 1.10045418 2.12888881 0.56318426 0.09294457 2.54287554 15.08289147 10.48248994 2.77307736 1.16445418 2.17805687 0.55924083 0.06051065 2.54654182 15.96007934 10.72458979 2.75366018 1.25445418 2.23396804 0.56110590 0.03747500 2.55023066 17.19362477 10.99989226 2.76284368 1.40445418 2.33367320 0.55605278 0.01446101 2.57793109 19.24953384 11.49083302 2.73796248 1.55245418 2.39113931 0.54694597 0.00010950 2.58888369 21.27803078 11.77379187 2.69312122 1.70445418 2.47703826 0.53955437 -0.02535274 2.65089777 23.36135197 12.19675191 2.65672555 1.85245418 2.52209289 0.53395301 -0.02042236 2.70686695 25.38984891 12.41859753 2.62914485 2.00545418 2.59158521 0.52776899 -0.03636948 2.70554693 27.48687616 12.76077256 2.59869519 2.15245418 2.61495478 0.52222732 -0.01226381 2.72569940 29.50166704 12.87584258 2.57140840 2.30445418 2.67178442 0.51739055 -0.03065732 2.73206527 31.58498823 13.15566746 2.54759251 2.60545418 2.73748448 0.50714168 -0.01021675 2.75688013 35.71051242 13.47916967 2.49712785 2.90345418 2.78936862 0.49823298 -0.00794916 2.79609695 39.79491842 13.73464334 2.45326209 3.20345418 2.85151785 0.49222882 0.01646818 2.79668306 43.90673655 14.04066149 2.42369806 3.65545418 2.89679536 0.48229235 0.03347396 2.82967680 50.10187587 14.26360461 2.37477163 4.10445418 2.96682316 0.47779608 0.06241073 2.80046859 56.25589700 14.60841626 2.35263232 4.61045418 3.01604899 0.47046154 0.06875509 2.80104723 63.19116358 14.85080058 2.31651756 5.18445418 3.07473791 0.47005867 0.09658648 2.80332789 71.05844226 15.13978048 2.31453388 5.18445418 3.07600381 0.46706571 0.11001289 2.80519345 71.05844226 15.14601366 2.29979678 5.83145418 3.11786828 0.46527875 0.11653392 2.80638402 79.92626336 15.35215121 2.29099789 6.56645418 3.18259601 0.46066251 0.11027839 2.79912326 90.00021778 15.67086572 2.26826789 7.39345418 3.25597165 0.46385200 0.11728951 2.77445920 101.33512975 16.03216190 2.28397268 8.32945418 3.33688758 0.46534241 0.12911074 2.77796517 114.16400232 16.43058592 2.29131135 9.38645418 3.38346366 0.46536761 0.11720044 2.74536227 128.65130819 16.65992308 2.29143545 10.58145418 3.45027076 0.46491144 0.10712571 2.74726122 145.03005040 16.98887625 2.28918930 11.93145418 3.54635074 0.46174477 0.07538788 2.74542392 163.53323198 17.46196693 2.27359687 13.45945418 3.61004852 0.46310024 0.07504685 2.74210179 184.47609232 17.77561004 2.28027108 15.18245418 3.73843736 0.46143532 0.02753206 2.75078371 208.09163444 18.40778711 2.27207312 17.13145418 3.82110114 0.45647049 0.01287818 2.74968672 234.80474622 18.81481740 2.24762668 19.33445418 3.92165226 0.45460248 -0.03143038 2.73339249 264.99919734 19.30992366 2.23842876 21.82445418 4.07448307 0.45190763 -0.08481758 2.74608636 299.12728781 20.06245117 2.22515949 24.63745418 4.17177272 0.43913284 -0.12561355 2.74719709 337.68243580 20.54149813 2.16225739 27.81645418 4.36412971 0.43221811 -0.19802789 2.76250788 381.25400191 21.48864964 2.12820979 31.41145418 4.47414948 0.41502384 -0.27294668 2.83132690 430.52728915 22.03037879 2.04354649 35.47245418 4.68701068 0.39510226 -0.38698007 2.92761453 486.18760056 23.07849148 1.94545408 40.06245418 4.83479230 0.36240467 -0.51160209 3.06156899 549.09841793 23.80615717 1.78445358 45.25045418 5.06755253 0.32296089 -0.74197238 3.42319972 620.20545944 24.95225120 1.59023538 51.11245418 5.21634861 0.26382787 -1.11595135 4.39998088 700.55038568 25.68491202 1.29906880 57.73745418 5.39173139 0.18293333 -1.81915208 7.85511027 791.35303603 26.54848376 0.90075009 65.22445418 5.46522153 0.09998888 -2.39406458 16.91026555 893.97031046 26.91034374 0.49233782 73.68745418 5.50733868 0.05488804 -0.38539745 11.82332209 1009.96469988 27.11772546 0.27026461 83.25045418 5.50727898 0.04512803 0.41394597 3.60459196 1141.03575577 27.11743151 0.22220706 94.05945418 5.48339621 0.04241555 0.44786237 3.51705138 1289.18456295 26.99983453 0.20885099 106.27345418 5.52013951 0.04540560 0.50553949 4.70134891 1456.59038504 27.18075578 0.22357379 120.07745418 5.47734923 0.04540081 0.71291661 4.06687131 1645.78884321 26.97005962 0.22355022 135.67845418 5.52040021 0.05365053 0.87713633 4.77916148 1859.61709198 27.18203946 0.26417123 153.31045418 5.47411408 0.05963516 1.22116124 6.84945508 2101.28234948 26.95413003 0.29363908 173.23645418 5.51703901 0.07934428 1.51907424 9.96509643 2374.38930960 27.16548919 0.39068530 195.75545418 5.46598415 0.09863923 1.45732275 13.97424693 2683.03608441 26.91409882 0.48569220 221.20445418 5.49105705 0.16303953 -0.73793309 26.71859140 3031.84161629 27.03755593 0.80279450 221.20545418 5.50924497 0.16793303 -1.06141349 31.97336070 3031.85532235 27.12711190 0.82688971 221.20645418 5.50261344 0.16016253 -0.34290462 22.76036565 3031.86902841 27.09445876 0.78862838