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_apr13_x4400mm_12ms_R6 HW diameter [micron]: 2.5 HW length in viscous units [-]: 9.3 HW Overheat ratio [%]: 80 sampling freq. [Hz]: 60000 Number of samples: 7800000 Temperature [C]: 19.27 atm. pressure [Pa]: 100999.1667 kin. viscosity [m^2/s]: 1.5037e-05 Downstream position (from leading edge) [mm]: 4400 Configuration: 3 Freestream vel. [m/s]: 9.1847 Friction velocity [m/s]: 0.26504 Viscous length scale [m]: 5.6737e-05 Calculated values: Displacement thickness, d1 [m]: 0.026862 Momentum-loss thickness, d2 [m]: 0.016877 Boundary layer thickness (d99) [m]: 0.10738 Shape Factor (H_12): 1.592 Re_d1: 16407 Re_d2: 10308 Re_tau: 1893 Beta: 2.2402 y [m] U [m/s] urms [m/s] uskew uflat y+ U+ urms+ 0.38193030 1.64638541 0.71732979 0.57496573 3.02247272 6.73164210 6.21193112 2.70653713 0.42493030 1.81206683 0.74556646 0.48025686 2.89670082 7.48953067 6.83705911 2.81307614 0.47993030 1.97819029 0.77872424 0.40491651 2.80500426 8.45892302 7.46385492 2.93818283 0.52893030 2.11654615 0.79884624 0.35476862 2.73421840 9.32256348 7.98588158 3.01410461 0.57893030 2.26385540 0.80930947 0.28725807 2.68714834 10.20382926 8.54169002 3.05358311 0.62793030 2.38366965 0.82036325 0.26671319 2.67610123 11.06746972 8.99375782 3.09528984 0.67693030 2.47951091 0.82934408 0.20457294 2.63644970 11.93111018 9.35537385 3.12917516 0.72493030 2.58680494 0.82882825 0.18591165 2.65024743 12.77712532 9.76020195 3.12722886 0.77093030 2.68504409 0.83670820 0.14819632 2.61499966 13.58788983 10.13086537 3.15696051 0.82193030 2.73659251 0.83453638 0.14524943 2.64926298 14.48678093 10.32536129 3.14876605 0.87493030 2.83085314 0.84275395 0.12118781 2.63889434 15.42092265 10.68101348 3.17977155 0.96893030 2.95034103 0.83791871 0.10263920 2.68099526 17.07770231 11.13184991 3.16152784 1.07193030 3.04820782 0.82997302 0.09875538 2.70041748 18.89310980 11.50110839 3.13154819 1.16493030 3.14950856 0.82789091 0.05862077 2.69108514 20.53226414 11.88332339 3.12369224 1.26793030 3.22611668 0.81914063 0.04121559 2.71786394 22.34767164 12.17237136 3.09067678 1.36293030 3.31633029 0.80752190 0.03860581 2.76041332 24.02207662 12.51275383 3.04683848 1.51393030 3.38663213 0.79641466 0.02535894 2.79110605 26.68349926 12.77800776 3.00493008 1.65893030 3.47918276 0.78511207 0.05323322 2.82031876 29.23917001 13.12720795 2.96228459 1.80693030 3.57738249 0.78736181 0.06504456 2.83828788 31.84771670 13.49772266 2.97077302 1.95493030 3.61240627 0.77753962 0.07010973 2.85015809 34.45626340 13.62986991 2.93371315 1.95493030 3.63053794 0.77240534 0.09632086 2.85993485 34.45626340 13.69828199 2.91434116 2.15093030 3.67159367 0.76154459 0.09176721 2.86196650 37.91082524 13.85318825 2.87336277 2.34893030 3.75458115 0.75059420 0.09768636 2.89355475 41.40063771 14.16630601 2.83204616 2.54493030 3.79805752 0.74779936 0.09807684 2.89523064 44.85519955 14.33034547 2.82150102 2.74393030 3.86264061 0.74423079 0.11763027 2.87519408 48.36263733 14.57402215 2.80803654 2.98693030 3.91715144 0.73547309 0.13205123 2.85521816 52.64558900 14.77969544 2.77499310 3.23293030 3.95356283 0.72990589 0.12583467 2.90316151 56.98141662 14.91707824 2.75398767 3.47993030 4.00791483 0.72707271 0.13699362 2.90958309 61.33486955 15.12215226 2.74329789 3.72493030 4.04277089 0.73983246 0.15674223 2.86637735 65.65307185 15.25366671 2.79144133 3.97293030 4.09378639 0.72646959 0.16291033 2.84571921 70.02415009 15.44615188 2.74102226 4.31593030 4.13394362 0.72334366 0.20962116 2.95025632 76.06963331 15.59766802 2.72922789 4.80893030 4.20400724 0.72847689 0.20793798 2.88970531 84.75891386 15.86202309 2.74859596 5.29893030 4.26478722 0.72883174 0.21698708 2.91243080 93.39531846 16.09135037 2.74993480 5.79293030 4.30748221 0.72780665 0.19285854 2.87807588 102.10222432 16.25244166 2.74606709 6.03693030 4.35464027 0.72480365 0.21586774 2.89823856 106.40280130 16.43037240 2.73473654 6.77693030 4.41349455 0.73689378 0.22238673 2.86981411 119.44553478 16.65243389 2.78035349 7.60993030 4.47634889 0.73314214 0.20769764 2.83640239 134.12742260 16.88958784 2.76619826 8.55293030 4.57146188 0.74339853 0.22686951 2.87691732 150.74809512 17.24845602 2.80489637 9.61893030 4.64018521 0.74490361 0.20533145 2.82894586 169.53668145 17.50775409 2.81057514 10.82393030 4.71773149 0.74159048 0.21270443 2.86663548 190.77518664 17.80034183 2.79807447 12.18193030 4.82055725 0.75536495 0.21709091 2.87361531 214.71036510 18.18831085 2.85004652 12.18593030 4.81224565 0.75080805 0.21518905 2.84728648 214.78086636 18.15695059 2.83285303 13.72493030 4.91096980 0.75990542 0.22796347 2.86749545 241.90622693 18.52944394 2.86717807 15.46493030 4.99482798 0.76758756 0.21506178 2.82895038 272.57427591 18.84584691 2.89616333 17.43293030 5.12707091 0.77717365 0.22869241 2.85662508 307.26089683 19.34480906 2.93233235 19.65693030 5.23989418 0.77396523 0.18287302 2.79103599 346.45959852 19.77049938 2.92022673 22.17093030 5.40661669 0.78373860 0.17533956 2.81204570 390.76964171 20.39955548 2.95710238 25.01293030 5.53276796 0.78490580 0.14059820 2.79326612 440.86078839 20.87553331 2.96150629 28.22493030 5.72984027 0.79304122 0.12033397 2.76104463 497.47330180 21.61910140 2.99220182 31.85593030 5.89254597 0.79451884 0.07383338 2.75111242 561.47082241 22.23300175 2.99777699 35.96293030 6.14067188 0.80578058 0.04605592 2.70536480 633.85799320 23.16919874 3.04026834 40.60393030 6.37815125 0.80423470 -0.02485245 2.73358720 715.65708248 24.06522557 3.03443565 45.85093030 6.64952241 0.79226189 -0.08147682 2.73397506 808.13711295 25.08912856 2.98926138 51.78193030 6.97918947 0.78560594 -0.19681890 2.76677853 912.67285923 26.33298621 2.96414798 58.48393030 7.28433339 0.75269911 -0.29071897 2.82834073 1030.79772376 27.48431626 2.83998815 66.06393030 7.69248724 0.71027355 -0.42384260 3.00279586 1164.39761532 29.02431022 2.67991344 74.63093030 8.05856300 0.64258795 -0.60879027 3.20300869 1315.39369328 30.40554052 2.42453077 84.31593030 8.49704759 0.53956721 -0.94022142 3.92821012 1486.09487397 32.05997456 2.03582609 89.13793030 8.65492611 0.49014174 -1.17286287 4.67153841 1571.08414536 32.65566163 1.84934021 95.26393030 8.82613611 0.39741843 -1.51164393 6.16584508 1679.05682816 33.30164933 1.49948845 107.64093030 9.09857349 0.22571366 -2.21168146 14.39283242 1897.20535821 34.32957527 0.85163396 114.14293030 9.13687414 0.16206827 -1.46532080 14.40592578 2011.80515964 34.47408639 0.61149531 121.63093030 9.14808199 0.13101161 -0.47295194 13.09601571 2143.78352217 34.51637441 0.49431628 137.44693030 9.17073479 0.11057953 0.60278533 8.14978718 2422.54551225 34.60184508 0.41722457 146.13993030 9.17856434 0.10256104 0.80831318 6.33260337 2575.76237996 34.63138653 0.38697020 155.32393030 9.17201851 0.10425548 0.81649397 5.58876862 2737.63327759 34.60668861 0.39336345 165.13993030 9.18489705 0.10577621 0.90824981 7.61399384 2910.64337462 34.65528030 0.39910128 175.53593030 9.15409495 0.10635993 1.02368857 12.17189277 3093.87615464 34.53906176 0.40130371 187.14193030 9.18476277 0.11668608 1.37270439 15.00511147 3298.43556643 34.65477364 0.44026502 198.38293030 9.15207557 0.12590338 2.02619970 21.56573799 3496.56173806 34.53144246 0.47504254 198.38293030 9.13147718 0.12973602 1.38140239 17.78360386 3496.56173806 34.45372327 0.48950336 198.38293030 9.16602287 0.13451066 -0.98587119 65.92313988 3496.56173806 34.58406665 0.50751844