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 rl, 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_apr17_x3400mm_6ms_R6 
HW diameter [micron]:  2.5 
HW length in viscous units [-]: 6.3 
HW Overheat ratio [%]:  80 
sampling freq. [Hz]:  20000 
Number of samples:  2700000 
Temperature [C]:  19.27 
atm. pressure [Pa]:  99643.0769 
kin. viscosity [m^2/s]:  1.5242e-05 
Downstream position (from leading edge) [mm]: 3400 
Configuration: 3 
Freestream vel. [m/s]:  5.2022 
Friction velocity [m/s]: 0.18212 
Viscous length scale [m]: 8.3692e-05 
 
Calculated values: 
Displacement thickness, d1 [m]: 0.018071 
Momentum-loss thickness, d2 [m]: 0.011604 
Boundary layer thickness (d99) [m]: 0.078362 
Shape Factor (H_12): 1.557 
Re_d1:  6168 
Re_d2:  3960 
Re_tau:   936 
Beta: 1.6316 
 
 
y [m]	U [m/s]	urms [m/s]	uskew	uflat	y+	U+	urms+
  0.44676366   0.93647209   0.42273406   0.59011359   3.02987987   5.33818381   5.14204338   2.32117635
  0.51176366   1.04161661   0.44971982   0.50312762   2.87227292   6.11484041   5.71937789   2.46935157
  0.60376366   1.21024606   0.48121263   0.38536626   2.69945696   7.21410821   6.64529971   2.64227437
  0.71476366   1.40612007   0.51741291   0.28971914   2.61151903   8.54039871   7.72081782   2.84104530
  0.85676366   1.53390432   0.52048147   0.21381104   2.57461595  10.23709467   8.42246406   2.85789433
  1.03376366   1.69563876   0.52949627   0.10862266   2.53035548  12.35199033   9.31052630   2.90739342
  1.26376366   1.86331326   0.52889024   0.04751323   2.57985485  15.10015983  10.23120463   2.90406581
  1.54876366   2.05778105   0.52806955  -0.00367446   2.61390790  18.50550031  11.29900133   2.89955948
  1.91376366   2.16815581   0.51270737  -0.01633516   2.69699662  22.86672583  11.90505443   2.81520778
  2.37476366   2.28540800   0.48900929  -0.02704704   2.79938080  28.37501340  12.54887056   2.68508478
  2.95976366   2.39334731   0.47807230   0.03292818   2.84291390  35.36492279  13.14155093   2.62503126
  3.69976366   2.52404751   0.46190668   0.03710727   2.82495296  44.20685946  13.85920832   2.53626797
  4.63976366   2.58856967   0.45093534   0.08295476   2.83409612  55.43850874  14.21349085   2.47602580
  5.82776366   2.69919389   0.43925092   0.10502925   2.81132939  69.63340167  14.82091373   2.41186820
  7.33476366   2.82626017   0.44696689   0.15641304   2.77071912  87.63988621  15.51861770   2.45423562
  9.24476366   2.88929722   0.43892862   0.16222005   2.80714733 110.46164166  15.86474577   2.41009850
 11.66476366   3.01120550   0.44223637   0.16683487   2.83240554 139.37716428  16.53412783   2.42826095
 14.73076366   3.17160420   0.44578375   0.14219397   2.78296503 176.01145864  17.41485573   2.44773913
 18.61576366   3.33639317   0.44785566   0.10083864   2.73616435 222.43162616  18.31968999   2.45911568
 18.61676366   3.31570012   0.44777742   0.10928628   2.75804506 222.44357472  18.20606724   2.45868612
 23.54076366   3.51469150   0.44705389   0.06338472   2.74928074 281.27829926  19.29870234   2.45471332
 29.78076366   3.81155844   0.44633372  -0.10248640   2.72355573 355.83733279  20.92875914   2.45075895
 37.68676366   4.04964435   0.42085246  -0.20120985   2.77975830 450.30267239  22.23605713   2.31084472
 37.68776366   4.06732191   0.42189051  -0.19904249   2.77652278 450.31462095  22.33312225   2.31654451
 46.02076366   4.39348201   0.38961602  -0.37222928   2.89112996 549.88199698  24.12402385   2.13932962
 54.35376366   4.64752079   0.34313452  -0.60000213   3.18947704 649.44937301  25.51891691   1.88410588
 62.68776366   4.85635045   0.28383138  -0.92942377   3.81867862 749.02869760  26.66557275   1.55848027
 71.01976366   5.08864425   0.19504636  -1.70445491   7.31458565 848.58412507  27.94106699   1.07097356
 79.35476366   5.15855544   0.11942279  -2.31980491  13.50351648 948.17539822  28.32494002   0.65573464
 87.68776366   5.19814144   0.06902794  -1.70222106  19.81013824 1047.74277425  28.54230147   0.37902320
 96.02076366   5.22854567   0.04650011   0.55114177   6.16327800 1147.31015028  28.70924707   0.25532593
104.35476366   5.21280819   0.04139869   0.59408556   4.09407328 1246.88947487  28.62283462   0.22731466
112.68776366   5.20831677   0.03723262   0.69507710   4.17721754 1346.45685090  28.59817287   0.20443937
123.93776366   5.22999597   0.03908498   0.76335381   4.61437724 1480.87818539  28.71721044   0.21461043
147.37576366   5.20662242   0.03921792   1.09293497   5.66909642 1760.92860653  28.58886943   0.21534037
170.81276366   5.20806206   0.04543976   1.54725814  11.97599022 2040.96707911  28.59677427   0.24950364
194.25076366   5.23304460   0.06428617   1.38979407  20.14313157 2321.01750025  28.73395007   0.35298680
217.68776366   5.21456888   0.09371107   1.50759900  20.82133160 2601.05597283  28.63250237   0.51455498
217.68776366   5.20880425   0.08222778   1.92418536  18.15678330 2601.05597283  28.60084956   0.45150178
