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_x2100mm_6ms_R6 
HW diameter [micron]:  2.5 
HW length in viscous units [-]: 8.2 
HW Overheat ratio [%]:  80 
sampling freq. [Hz]:  20000 
Number of samples:  1320000 
Temperature [C]:  19.34 
atm. pressure [Pa]:  100105.3659 
kin. viscosity [m^2/s]:  1.5178e-05 
Downstream position (from leading edge) [mm]: 2100 
Configuration: 3 
Freestream vel. [m/s]:  5.9404 
Friction velocity [m/s]: 0.23731 
Viscous length scale [m]: 6.3958e-05 
 
Calculated values: 
Displacement thickness, d1 [m]: 0.0083966 
Momentum-loss thickness, d2 [m]: 0.0057131 
Boundary layer thickness (d99) [m]: 0.042797 
Shape Factor (H_12): 1.470 
Re_d1:  3286 
Re_d2:  2236 
Re_tau:   669 
Beta: 0.43758 
 
 
y [m]	U [m/s]	urms [m/s]	uskew	uflat	y+	U+	urms+
  0.24212034   0.89967230   0.34715388   0.68499931   3.42857536   3.78561235   3.79110045   1.46286068
  0.29012034   1.03597966   0.39754933   0.57058776   3.14415254   4.53610441   4.36548166   1.67522045
  0.34912034   1.23167290   0.45927716   0.52779003   3.08544133   5.45858423   5.19010719   1.93533337
  0.42012034   1.48686536   0.51788740   0.43169537   2.81879017   6.56868707   6.26545458   2.18230921
  0.50312034   1.70015482   0.56703767   0.35477305   2.67606846   7.86641292   7.16422822   2.38942197
  0.60512034   1.91985640   0.60287788   0.27754592   2.55692362   9.46120854   8.09002169   2.54044790
  0.73012034   2.15076894   0.62419257   0.16163225   2.49392890  11.41561494   9.06305670   2.63026519
  0.87412034   2.37595691   0.63945712   0.09311890   2.44371677  13.66709111  10.01196912   2.69458796
  1.05312034   2.55391046   0.64405580   0.01735715   2.46137419  16.46580108  10.76184192   2.71396621
  1.26412034   2.74286520   0.63830029  -0.04483274   2.51642405  19.76483908  11.55807226   2.68971325
  1.52212034   2.94708860   0.62399800  -0.10128217   2.56434333  23.79873389  12.41864273   2.62944529
  1.82812034   3.13440396   0.61017177  -0.12872855   2.64357033  28.58312076  13.20796496   2.57118338
  2.19812034   3.23376668   0.58041136  -0.11395202   2.72136473  34.36816370  13.62666638   2.44577694
  2.64112034   3.33227313   0.56202812  -0.09783494   2.75555264  41.29457998  14.04175957   2.36831239
  3.17512034   3.42987845   0.54824592  -0.08331239   2.78116660  49.64380413  14.45305550   2.31023603
  3.81612034   3.52581750   0.53031667  -0.03611991   2.74562258  59.66600014  14.85733002   2.23468453
  4.58812034   3.63950407   0.52189579  -0.00117539   2.79917619  71.73641407  15.33639022   2.19920003
  5.51512034   3.80718563   0.51754697   0.00342746   2.70477544  86.23029194  16.04297819   2.18087470
  6.62912034   3.93109356   0.50972544   0.00562591   2.74787324 103.64796177  16.56510988   2.14791580
  7.96612034   3.97335148   0.49626398   0.01982527   2.75507100 124.55229263  16.74317917   2.09119098
  7.96912034   4.04222121   0.50653712  -0.00347332   2.73081167 124.59919838  17.03338712   2.13448064
  9.57912034   4.11917694   0.49585935  -0.00318482   2.71401586 149.77195282  17.35766844   2.08948592
 11.51412034   4.32152057   0.49129142  -0.06663669   2.71953010 180.02616389  18.21031781   2.07023725
 13.84212034   4.52982396   0.48321857  -0.10506324   2.71709672 216.42502868  19.08808083   2.03621932
 16.63912034   4.68427586   0.46431022  -0.17242454   2.75401277 260.15682629  19.73892076   1.95654206
 20.00112034   4.84509600   0.44665965  -0.23766840   2.79161024 312.72254083  20.41659564   1.88216486
 20.00212034   4.88059517   0.44363557  -0.26988171   2.79665916 312.73817608  20.56618444   1.86942180
 25.00212034   5.13312377   0.40875333  -0.41901876   2.92262894 390.91443209  21.63030666   1.72243263
 30.00212034   5.38622578   0.35968526  -0.65592271   3.24261889 469.09068809  22.69684515   1.51566624
 35.00212034   5.66329371   0.28042756  -1.09761631   4.31568382 547.26694410  23.86437287   1.18168474
 40.00212034   5.85075022   0.18513444  -1.82591577   7.81643456 625.44320010  24.65428989   0.78013211
 45.00212034   5.90485083   0.10869755  -2.32387524  14.74973019 703.61945610  24.88226275   0.45803715
 50.00212034   5.91802364   0.06674784  -1.68910347  18.33745848 781.79571211  24.93777122   0.28126661
 55.00212034   5.92532946   0.04718856  -0.37781447  10.96445381 859.97196811  24.96855698   0.19884638
 60.00212034   5.92744027   0.03895521   0.23382582   4.67160443 938.14822412  24.97745165   0.16415213
 66.00312034   5.94136581   0.03600514   0.30936043   3.09255080 1031.97536657  25.03613206   0.15172092
 99.50212034   5.95726901   0.03846451   0.66438405   3.45668815 1555.74064655  25.10314602   0.16208437
133.00212034   5.95619441   0.04369129   0.49183866   3.20169498 2079.52156178  25.09861781   0.18410932
166.50112034   5.94458142   0.05112016   0.76508831   4.21830121 2603.28684176  25.04968222   0.21541362
200.00212034   5.96703947   0.07205921   1.35593580   8.48152547 3127.08339224  25.14431747   0.30364802
200.00212034   5.95829544   0.07375175   1.24602861   7.43495359 3127.08339224  25.10747126   0.31078014