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_may05_x3150mm_6ms_R12 
HW diameter [micron]:  2.5 
HW length in viscous units [-]: 6.9 
HW Overheat ratio [%]:  80 
sampling freq. [Hz]:  20000 
Number of samples:  2000000 
Temperature [C]:  19.24 
atm. pressure [Pa]:  102393.6364 
kin. viscosity [m^2/s]:  1.483e-05 
Downstream position (from leading edge) [mm]: 3150 
Configuration: 1 
Freestream vel. [m/s]:  5.3498 
Friction velocity [m/s]: 0.19531 
Viscous length scale [m]: 7.5931e-05 
 
Calculated values: 
Displacement thickness, d1 [m]: 0.015235 
Momentum-loss thickness, d2 [m]: 0.0099959 
Boundary layer thickness (d99) [m]: 0.068946 
Shape Factor (H_12): 1.524 
Re_d1:  5496 
Re_d2:  3606 
Re_tau:   908 
Beta: 1.1145 
 
 
y [m]	U [m/s]	urms [m/s]	uskew	uflat	y+	U+	urms+
  0.19645793   0.58628122   0.19399388   1.13446685   4.82682833   2.58733541   3.00181647   0.99326741
  0.22945793   0.62684906   0.22947145   1.07425740   4.56341261   3.02194281   3.20952770   1.17491598
  0.27345793   0.71151612   0.27895619   0.91314165   3.99025339   3.60141933   3.64303121   1.42828261
  0.32645793   0.82945026   0.33863653   0.80383839   3.64088216   4.29942515   4.24686543   1.73385173
  0.39345793   0.97661161   0.38478906   0.64740853   3.26360809   5.18180986   5.00034573   1.97015716
  0.47745793   1.15576206   0.42990914   0.53556081   2.99379962   6.28808324   5.91761333   2.20117633
  0.58245793   1.36936365   0.47290921   0.37537398   2.76018190   7.67092495   7.01127411   2.42134082
  0.71545793   1.57345393   0.50459826   0.32479827   2.64935338   9.42252446   8.05623604   2.58359179
  0.87845793   1.79554973   0.52136682   0.17364664   2.52883404  11.56922159   9.19338798   2.66944847
  1.08545793   1.94906123   0.52811705   0.09618578   2.51683410  14.29539526   9.97938168   2.70401030
  1.34645793   2.13400028   0.52849149   0.03656748   2.60036852  17.73274467  10.92628745   2.70592743
  1.66845793   2.29840876   0.51897130  -0.00937816   2.62654620  21.97345926  11.76807476   2.65718315
  2.07445793   2.45374048   0.50121661  -0.01904014   2.67974999  27.32044722  12.56338816   2.56627745
  2.58245793   2.57207582   0.48225809   0.00314134   2.75054646  34.01076714  13.16927653   2.46920801
  3.21945793   2.66473780   0.46366528   0.05329896   2.86029344  42.40000687  13.64371480   2.37401102
  4.01645793   2.77369379   0.45566182   0.07629713   2.81778933  52.89643398  14.20158000   2.33303251
  5.01545793   2.88402343   0.45059701   0.08980452   2.79762939  66.05318515  14.76647842   2.30710021
  6.26645793   2.96775723   0.44055981   0.12705727   2.83764059  82.52875644  15.19520357   2.25570874
  7.83245793   3.06726359   0.44038251   0.14883128   2.81236060 103.15285287  15.70468571   2.25480098
  9.79145793   3.18085220   0.44143200   0.15335045   2.79435353 128.95272829  16.28627039   2.26017444
  9.79445793   3.21573081   0.44498325   0.12681629   2.80748995 128.99223805  16.46485222   2.27835718
 12.25245793   3.33556958   0.44461767   0.12506066   2.76094438 161.36390410  17.07843831   2.27648540
 15.33045793   3.49342518   0.44656125   0.08606080   2.79373959 201.90092122  17.88667424   2.28643670
 19.18545793   3.65001586   0.44616595   0.01721880   2.71229362 252.67096703  18.68843359   2.28441275
 24.01345793   3.83979263   0.43794921  -0.04638880   2.74914035 316.25534607  19.66010897   2.24234222
 30.06145793   4.11794742   0.42639177  -0.16440998   2.75626275 395.90702883  21.08428840   2.18316701
 36.72945793   4.41120737   0.40276377  -0.25954199   2.79336629 483.72406268  22.58580761   2.06218938
 43.39545793   4.64015683   0.36099539  -0.43849310   2.98286850 571.51475668  23.75805098   1.84833127
 50.06245793   4.85772350   0.32458166  -0.71222583   3.40159795 659.31862060  24.87201335   1.66188943
 56.72945793   5.06832459   0.26537565  -1.10166450   4.39388533 747.12248452  25.95031124   1.35874893
 63.39545793   5.24339792   0.18853297  -1.76436644   7.55911774 834.91317853  26.84670360   0.96530699
 70.06245793   5.30697361   0.11901295  -2.24830149  13.76289714 922.71704245  27.17221726   0.60935779
 76.72945793   5.32759567   0.07383226  -1.48318851  16.08523635 1010.52090637  27.27780423   0.37802831
 83.39445793   5.35516435   0.05619583  -0.20634456   9.94275699 1098.29843045  27.41895852   0.28772808
 90.06245793   5.36910651   0.04745498   0.47068930   3.72083309 1186.11546430  27.49034374   0.24297406
 99.06245793   5.34728133   0.04548429   0.59141998   4.06250594 1304.64475413  27.37859670   0.23288395
113.20445793   5.34790242   0.04522251   0.62076600   4.15033577 1490.89377821  27.38177671   0.23154363
127.34845793   5.34434836   0.04783954   0.94565269   5.31078700 1677.16914215  27.36357960   0.24494308
141.49045793   5.36820258   0.05846263   1.10734241   5.99074216 1863.41816623  27.48571551   0.29933429
155.63345793   5.35382549   0.06439794   1.27043584  10.52302252 2049.68036024  27.41210343   0.32972369
169.77645793   5.33543159   0.07787678   1.40893695  23.22337980 2235.94255425  27.31792488   0.39873663
183.91945793   5.34132875   0.08513672   1.79061758  15.57348726 2422.20474826  27.34811893   0.43590820
198.06245793   5.34026842   0.11775824   0.47334849  31.29509388 2608.46694227  27.34268993   0.60293355
198.06245793   5.34579928   0.10790504   1.46698260  24.31794543 2608.46694227  27.37100847   0.55248423
