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_apr19_x4200mm_6ms_R6 
HW diameter [micron]:  2.5 
HW length in viscous units [-]: 5.1 
HW Overheat ratio [%]:  80 
sampling freq. [Hz]:  20000 
Number of samples:  3200000 
Temperature [C]:  19.23 
atm. pressure [Pa]:  99727.8049 
kin. viscosity [m^2/s]:  1.5225e-05 
Downstream position (from leading edge) [mm]: 4200 
Configuration: 3 
Freestream vel. [m/s]:  4.7939 
Friction velocity [m/s]: 0.14838 
Viscous length scale [m]: 0.00010261 
 
Calculated values: 
Displacement thickness, d1 [m]: 0.027466 
Momentum-loss thickness, d2 [m]: 0.016956 
Boundary layer thickness (d99) [m]: 0.10841 
Shape Factor (H_12): 1.620 
Re_d1:  8648 
Re_d2:  5339 
Re_tau:  1057 
Beta: 1.9489 
 
 
y [m]	U [m/s]	urms [m/s]	uskew	uflat	y+	U+	urms+
  0.31676190   0.39761095   0.18757557   1.24899115   5.16807946   3.08704766   2.67964536   1.26414027
  0.39076190   0.49998458   0.25600113   0.95838815   3.97063757   3.80822506   3.36957860   1.72528506
  0.48576190   0.66208474   0.31722329   0.72331024   3.40479358   4.73406093   4.46203080   2.13788354
  0.59876190   0.84638916   0.36628983   0.54600018   3.03127945   5.83531832   5.70412555   2.46856088
  0.74376190   0.98861980   0.39728278   0.43086743   2.82687679   7.24843621   6.66266974   2.67743366
  0.91176190   1.17862794   0.43162454   0.33127229   2.77859275   8.88570384   7.94320399   2.90887533
  1.12676190   1.36575308   0.44385618   0.21193244   2.64806191  10.98101657   9.20430861   2.99130882
  1.38476190   1.47936278   0.44759079   0.15533798   2.67644646  13.49539186   9.96996587   3.01647772
  1.70376190   1.62914141   0.44896554   0.10639647   2.68622112  16.60425122  10.97937869   3.02574264
  2.09276190   1.75726988   0.44710035   0.04168804   2.69928672  20.39530543  11.84288326   3.01317251
  2.57176190   1.83997488   0.43564968   0.10275427   2.79355623  25.06346730  12.40026245   2.93600222
  3.15776190   1.95895246   0.42752905   0.04173006   2.81208669  30.77441271  13.20209580   2.88127436
  3.87676190   2.05716543   0.41956719   0.03849599   2.85189092  37.78152833  13.86398885   2.82761644
  4.75876190   2.10841642   0.40370645   0.08441420   2.89779596  46.37718337  14.20938798   2.72072518
  5.83876190   2.21584941   0.40147615   0.11616012   2.90182135  56.90247526  14.93341809   2.70569433
  7.16376190   2.27498005   0.40384405   0.18005227   2.91275109  69.81544910  15.33192112   2.72165246
  8.78776190   2.32480811   0.39275509   0.20889826   2.93726978  85.64236950  15.66773055   2.64691995
 10.77976190   2.43556626   0.40363312   0.22310243   2.88007276 105.05568565  16.41417017   2.72023093
 13.22376190   2.50619243   0.40172271   0.22324625   2.87435246 128.87403137  16.89014572   2.70735601
 16.21276190   2.58282020   0.41081816   0.22603685   2.82681891 158.00375124  17.40656822   2.76865356
 16.21576190   2.60071159   0.41857250   0.23670524   2.85363586 158.03298816  17.52714486   2.82091286
 19.88876190   2.73870189   0.42477960   0.19162146   2.78288852 193.82872622  18.45711189   2.86274482
 24.39176190   2.82117975   0.42675080   0.16029017   2.77995479 237.71334601  19.01296023   2.87602944
 29.91176190   2.99024915   0.43281349   0.10025867   2.77846064 291.50928233  20.15238066   2.91688812
 36.68076190   3.21370211   0.43740208   0.02226430   2.70772198 357.47752381  21.65831172   2.94781227
 44.97876190   3.42673349   0.43523808  -0.07887744   2.69920547 438.34684982  23.09400797   2.93322832
 44.97976190   3.40511662   0.43551714  -0.06192835   2.72786039 438.35659547  22.94832402   2.93510903
 54.97976190   3.72568697   0.42232770  -0.22095406   2.78024213 535.81300184  25.10876460   2.84622052
 64.97876190   3.94272373   0.39592814  -0.38004695   2.95675085 633.25966258  26.57145461   2.66830426
 74.97876190   4.23202372   0.34914620  -0.59823158   3.18866119 730.71606896  28.52115287   2.35302373
 84.97976190   4.43393489   0.29406695  -0.93378805   3.80431287 828.18222098  29.88190589   1.98182454
 94.97976190   4.60168515   0.22694774  -1.50421562   6.00714891 925.63862736  31.01243619   1.52948367
104.98076190   4.73998976   0.13684583  -2.02673010  11.23871288 1023.10477938  31.94452139   0.92225398
114.97976190   4.75737157   0.08994499  -1.70082264  15.60962380 1120.55144011  32.06166376   0.60617212
124.97976190   4.79296907   0.06234825   0.00899136   9.64626622 1218.00784649  32.30156831   0.42018763
134.98076190   4.78065609   0.05488913   0.78480334   5.55091928 1315.47399851  32.21858664   0.36991788
148.47976190   4.77644418   0.05228428   1.31273939  11.89895516 1447.03040148  32.19020106   0.35236284
170.97976190   4.79128993   0.05650360   1.03469067  11.85684220 1666.30731583  32.29025201   0.38079840
193.47976190   4.76333139   0.06275962   1.11235778  37.59705837 1885.58423018  32.10182917   0.42295997
215.97976190   4.76380911   0.09794632  -0.00108418  26.43623175 2104.86114453  32.10504875   0.66009603
215.97976190   4.77847018   0.08631322   0.51585386  23.86185906 2104.86114453  32.20385500   0.58169627
