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_may04_x3400mm_6ms_R12 
HW diameter [micron]:  2.5 
HW length in viscous units [-]: 6.6 
HW Overheat ratio [%]:  80 
sampling freq. [Hz]:  20000 
Number of samples:  5000000 
Temperature [C]:  19.22 
atm. pressure [Pa]:  102237.8049 
kin. viscosity [m^2/s]:  1.4851e-05 
Downstream position (from leading edge) [mm]: 3400 
Configuration: 1 
Freestream vel. [m/s]:  5.2876 
Friction velocity [m/s]: 0.18638 
Viscous length scale [m]: 7.9682e-05 
 
Calculated values: 
Displacement thickness, d1 [m]: 0.016968 
Momentum-loss thickness, d2 [m]: 0.011098 
Boundary layer thickness (d99) [m]: 0.076941 
Shape Factor (H_12): 1.529 
Re_d1:  6041 
Re_d2:  3952 
Re_tau:   966 
Beta: 1.0753 
 
 
y [m]	U [m/s]	urms [m/s]	uskew	uflat	y+	U+	urms+
  0.13221442   0.57280070   0.08145732   1.39128737   6.20097418   1.65927456   3.07332632   0.43705418
  0.15621442   0.53542776   0.11424904   1.36993207   6.10999777   1.96047157   2.87280416   0.61299609
  0.20821442   0.54141810   0.16532307   1.22917843   5.19445322   2.61306510   2.90494499   0.88703057
  0.26621442   0.62270967   0.23578811   1.06565941   4.55216871   3.34095788   3.34110980   1.26510635
  0.34021442   0.75244130   0.30615288   0.83833727   3.79349514   4.26964867   4.03717675   1.64264413
  0.43321442   0.96095908   0.37816650   0.64305087   3.25034081   5.43678709   5.15596587   2.02902872
  0.55121442   1.19761217   0.43286314   0.45816867   2.91634612   6.91767240   6.42571322   2.32250011
  0.70121442   1.43735640   0.47884393   0.34869088   2.72835868   8.80015373   7.71204589   2.56920719
  0.89121442   1.68000942   0.50357609   0.22360804   2.61911721  11.18463008   9.01398550   2.70190604
  1.13321442   1.90127306   0.51615862   0.10843107   2.54908884  14.22169995  10.20116175   2.76941679
  1.43721442   2.10139487   0.51746333   0.03746392   2.59317384  18.03686211  11.27490278   2.77641716
  1.82521442   2.26867752   0.49728545  -0.00349992   2.68983784  22.90621381  12.17244738   2.66815402
  2.31621442   2.43662851   0.48596502  -0.01206424   2.74089917  29.06820269  13.07357795   2.60741492
  2.93621442   2.54001680   0.46196359  -0.00918875   2.79320485  36.84912552  13.62830136   2.47863675
  3.72621442   2.66533592   0.45009911   0.06362010   2.84863174  46.76352718  14.30069322   2.41497865
  4.72521442   2.76268313   0.44216524   0.12055389   2.83307447  59.30085282  14.82300363   2.37240995
  5.99221442   2.85345685   0.43202009   0.15377885   2.84169131  75.20154511  15.31004435   2.31797681
  7.59821442   2.97447967   0.43257496   0.16774616   2.86570981  95.35664519  15.95938474   2.32095392
  9.63321442   3.06558999   0.43016244   0.17052638   2.82290328 120.89564187  16.44823144   2.30800967
 12.21021442   3.20840656   0.43632547   0.13724449   2.78295890 153.23667109  17.21450480   2.34107702
 12.21321442   3.20219758   0.43380216   0.15197453   2.76990702 153.27432071  17.18119094   2.32753839
 15.48421442   3.34179332   0.43667468   0.12614591   2.74587021 194.32496354  17.93018315   2.34295070
 19.62921442   3.52121667   0.44288007   0.08343509   2.75156844 246.34419757  18.89286790   2.37624533
 24.88521442   3.72645872   0.43977077   0.00793198   2.72581916 312.30634330  19.99408129   2.35956257
 31.54721442   4.01440332   0.43094947  -0.11141447   2.72404339 395.91361401  21.53903003   2.31223246
 39.99121442   4.32746702   0.40505903  -0.27131820   2.84274351 501.88476290  23.21875378   2.17331888
 39.99221442   4.29364293   0.40274158  -0.25863635   2.78451732 501.89731278  23.03727272   2.16088475
 48.88121442   4.61194951   0.36114743  -0.47251465   3.01778817 613.45315628  24.74512677   1.93771397
 57.77021442   4.88393170   0.30435510  -0.79538075   3.47932252 725.00899977  26.20443022   1.63299827
 66.65821442   5.12710123   0.22736641  -1.41391819   5.71666068 836.55229339  27.50914113   1.21992026
 75.54821442   5.22086725   0.13882286  -2.11212178  11.28211880 948.12068676  28.01223682   0.74484538
 84.43621442   5.30955608   0.07814870  -1.06465810  13.09045122 1059.66398038  28.48809123   0.41930194
 93.32421442   5.28556142   0.05889851   0.27253427   6.73054955 1171.20727400  28.35934938   0.31601627
102.21421442   5.30469565   0.05414213   0.63140778   4.04921671 1282.77566738  28.46201287   0.29049623
111.10321442   5.31470416   0.05464986   0.69765063   4.36478911 1394.33151087  28.51571293   0.29322043
119.99221442   5.28297563   0.05370516   0.77093195   4.81432915 1505.88735437  28.34547548   0.28815166
131.99221442   5.31054754   0.05898078   1.55227796  18.90127830 1656.48586061  28.49341083   0.31645767
159.99221442   5.30587864   0.08870771   1.35698000  29.04224095 2007.88237516  28.46836013   0.47595566
187.99221442   5.29005016   0.10780842   0.94479443  16.31617188 2359.27888972  28.38343344   0.57843935
215.99221442   5.28535774   0.16964379  -1.08547599  24.74937040 2710.67540427  28.35825653   0.91021315
215.99221442   5.26769521   0.17681374  -2.00947504  34.26398684 2710.67540427  28.26348935   0.94868309
