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_apr18_x240mm_6ms_R6 HW diameter [micron]: 2.5 HW length in viscous units [-]: 11.4 HW Overheat ratio [%]: 80 sampling freq. [Hz]: 20000 Number of samples: 1000000 Temperature [C]: 19.28 atm. pressure [Pa]: 99980 kin. viscosity [m^2/s]: 1.5192e-05 Downstream position (from leading edge) [mm]: 240 Configuration: 3 Freestream vel. [m/s]: 6.3109 Friction velocity [m/s]: 0.32908 Viscous length scale [m]: 4.6165e-05 Calculated values: Displacement thickness, d1 [m]: 0.0016703 Momentum-loss thickness, d2 [m]: 0.0010757 Boundary layer thickness (d99) [m]: 0.0095015 Shape Factor (H_12): 1.553 Re_d1: 694 Re_d2: 447 Re_tau: 206 Beta: -0.024258 y [m] U [m/s] urms [m/s] uskew uflat y+ U+ urms+ 0.10408726 0.95901054 0.22214193 0.81921833 3.60531842 2.25467497 2.91424787 0.67504642 0.13108726 1.05471760 0.29985674 0.84086420 3.66834587 2.83953257 3.20508314 0.91120675 0.17308726 1.24742502 0.39746278 0.72682298 3.29218892 3.74931105 3.79068378 1.20781264 0.21608726 1.50303956 0.49617458 0.64980538 3.10717813 4.68075092 4.56744702 1.50777874 0.26508726 1.79749277 0.59023967 0.53350761 2.80022165 5.74215915 5.46223347 1.79362438 0.32108726 2.11725539 0.66966148 0.41201264 2.56046729 6.95519713 6.43393031 2.03497195 0.38708726 2.45840503 0.74428558 0.26631713 2.37400553 8.38484903 7.47061820 2.26174017 0.45608726 2.76505315 0.78270210 0.16724876 2.30452268 9.87948510 8.40246264 2.37848056 0.54708726 3.04925115 0.81185559 0.05352421 2.24335248 11.85067181 9.26608549 2.46707237 0.64108726 3.32462881 0.81471105 -0.06266422 2.25159227 13.88684270 10.10290504 2.47574957 0.75808726 3.58814285 0.81023051 -0.16088110 2.30475804 16.42122561 10.90367333 2.46213408 0.88508726 3.79309077 0.79970226 -0.24124044 2.37587773 19.17222245 11.52647047 2.43014075 1.03508726 3.98494719 0.76742225 -0.29551250 2.47055150 22.42143131 12.10948510 2.33204803 1.20608726 4.16566188 0.73896108 -0.33866221 2.57847380 26.12552942 12.65864213 2.24556004 1.40308726 4.32344420 0.70362124 -0.38176153 2.68179622 30.39282372 13.13811214 2.13816909 1.62508726 4.47275640 0.66861500 -0.37986516 2.76618029 35.20165284 13.59184311 2.03179190 1.88708726 4.60238556 0.63695925 -0.40135904 2.84932623 40.87693765 13.98576109 1.93559619 2.18408726 4.75391733 0.60462129 -0.37870931 2.87542741 47.31037120 14.44623688 1.83732736 2.52408726 4.89984747 0.57272791 -0.40233014 2.92441555 54.67524462 14.88969039 1.74040954 2.52608726 4.88655427 0.57790436 -0.42426225 2.99295154 54.71856740 14.84929493 1.75613976 2.91908726 5.02159314 0.55117207 -0.38478766 2.90896509 63.23149462 15.25965197 1.67490550 3.36708726 5.16475430 0.52459676 -0.41451815 2.97338185 72.93579843 15.69469109 1.59414826 3.88608726 5.30818728 0.50055562 -0.44134846 2.93487365 84.17806109 16.13055623 1.52109189 3.88708726 5.30592572 0.50012030 -0.45330514 2.97978113 84.19972248 16.12368378 1.51976901 4.77608726 5.54187063 0.46029680 -0.54779620 3.00275456 103.45670034 16.84067482 1.39875309 5.66508726 5.73948754 0.41554335 -0.73944864 3.26200117 122.71367820 17.44119443 1.26275600 6.55408726 5.91537471 0.36582805 -1.03558549 3.92369046 141.97065606 17.97568158 1.11168080 7.44308726 6.05807259 0.30142482 -1.43762553 5.39845660 161.22763391 18.40931291 0.91597183 8.33108726 6.16477740 0.23486955 -1.92760628 8.29615785 180.46295038 18.73356821 0.71372321 9.22108726 6.23314098 0.17144732 -2.41657833 13.19462279 199.74158963 18.94131194 0.52099531 10.10908726 6.27946846 0.12135382 -2.58038759 19.57370159 218.97690610 19.08209219 0.36877083 10.99808726 6.28875981 0.08532269 -2.33181153 26.05943401 238.23388395 19.11032683 0.25927918 11.88608726 6.29097742 0.05946750 -0.93908840 20.67484312 257.46920042 19.11706569 0.18071024 13.88708726 6.28865981 0.03337049 0.19523979 10.97306671 300.81364664 19.11002294 0.10140647 20.38708726 6.29045336 0.01469185 -0.10726647 2.89436427 441.61269735 19.11547320 0.04464570 26.88708726 6.30046712 0.01650701 -0.20902714 3.14542286 582.41174805 19.14590309 0.05016160 33.38708726 6.29541979 0.01449973 -0.14006130 2.47680844 723.21079875 19.13056522 0.04406189 39.88708726 6.29374849 0.01378127 0.15875697 2.37828878 864.00984946 19.12548645 0.04187861 39.88708726 6.29035194 0.01420172 -0.28135581 2.52687367 864.00984946 19.11516498 0.04315628