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_x2500mm_6ms_R6 
HW diameter [micron]:  2.5 
HW length in viscous units [-]: 7.5 
HW Overheat ratio [%]:  80 
sampling freq. [Hz]:  20000 
Number of samples:  1500000 
Temperature [C]:  19.31 
atm. pressure [Pa]:  100141.3158 
kin. viscosity [m^2/s]:  1.517e-05 
Downstream position (from leading edge) [mm]: 2500 
Configuration: 3 
Freestream vel. [m/s]:  5.7481 
Friction velocity [m/s]: 0.21665 
Viscous length scale [m]: 7.0022e-05 
 
Calculated values: 
Displacement thickness, d1 [m]: 0.010739 
Momentum-loss thickness, d2 [m]: 0.0071885 
Boundary layer thickness (d99) [m]: 0.052719 
Shape Factor (H_12): 1.494 
Re_d1:  4069 
Re_d2:  2724 
Re_tau:   753 
Beta: 0.78214 
 
 
y [m]	U [m/s]	urms [m/s]	uskew	uflat	y+	U+	urms+
  0.25234015   0.74544558   0.28706237   1.03504843   4.25204843   3.60373889   3.44079903   1.32501143
  0.27134015   0.80067841   0.32081359   1.02137167   4.21296395   3.87508309   3.69574062   1.48079904
  0.30134015   0.87416142   0.35578235   0.89293240   3.78329977   4.30352132   4.03492066   1.64220648
  0.35934015   1.03603385   0.42464932   0.73113269   3.32062467   5.13183521   4.78208520   1.96008000
  0.43134015   1.26406757   0.48878463   0.54465003   2.95905040   6.16008695   5.83463448   2.25611330
  0.51134015   1.44302236   0.53154439   0.42998902   2.76022731   7.30258887   6.66064709   2.45348215
  0.61534015   1.68059224   0.57786270   0.29456413   2.56184127   8.78784138   7.75721300   2.66727642
  0.73734015   1.87796242   0.59633374   0.19587346   2.52850363  10.53015682   8.66822672   2.75253436
  0.88734015   2.11148238   0.61128945   0.11126527   2.48173408  12.67234793   9.74609917   2.82156634
  1.06034015   2.34296636   0.62210637   0.01215404   2.47546369  15.14300835  10.81457398   2.87149467
  1.27634015   2.50036786   0.62135199  -0.03888374   2.49718122  18.22776355  11.54110179   2.86801261
  1.52934015   2.64627644   0.60022539  -0.07790445   2.64630389  21.84092590  12.21458099   2.77049726
  1.83934015   2.77540167   0.57631929  -0.08621908   2.68363815  26.26812087  12.81059227   2.66015240
  2.20834015   2.92598513   0.55942334  -0.11001419   2.71832853  31.53791100  13.50564963   2.58216472
  2.65134015   3.04346514   0.53696380  -0.06381624   2.76318782  37.86451543  14.04790933   2.47849685
  3.18434015   3.13578634   0.52245544  -0.04002546   2.79904718  45.47643452  14.47404195   2.41152971
  3.82734015   3.25888353   0.51222518  -0.01062443   2.77375598  54.65929376  15.04222926   2.36430929
  4.59734015   3.33568478   0.49202386   0.00975086   2.82070361  65.65587480  15.39672551   2.27106479
  5.52234015   3.45968395   0.49448234   0.09978183   2.78393627  78.86605334  15.96907609   2.28241255
  5.52534015   3.41843872   0.48986639   0.06113151   2.80309249  78.90889716  15.77869794   2.26110644
  6.64034015   3.54553633   0.48332254   0.05443059   2.79144461  94.83251777  16.36535020   2.23090159
  7.97834015   3.64499370   0.48366132   0.07416679   2.76365306 113.94086250  16.82442171   2.23246534
  9.59034015   3.75030012   0.47920168   0.04635123   2.75725729 136.96227633  17.31049104   2.21188066
 11.52534015   3.90749351   0.47694934   0.03344032   2.71470960 164.59654170  18.03605823   2.20148440
 13.85234015   4.09545906   0.46914573  -0.03631650   2.72442260 197.82906650  18.90366241   2.16546480
 16.64934015   4.21945280   0.46533863  -0.03886412   2.70408100 237.77379013  19.47598795   2.14789215
 20.01134015   4.41215906   0.45065282  -0.12651662   2.73537764 285.78743362  20.36547409   2.08010595
 20.01234015   4.39194841   0.45613341  -0.13453294   2.71061558 285.80171490  20.27218654   2.10540307
 30.01134015   4.92248910   0.39745120  -0.40968657   2.97169743 428.60017452  22.72103582   1.83453994
 40.01234015   5.38638608   0.30202407  -0.90596784   3.77565192 571.42719669  24.86227366   1.39407110
 50.01234015   5.66875506   0.16667809  -2.05989237   9.67678459 714.23993758  26.16562154   0.76934630
 60.01234015   5.74938631   0.06372301  -1.89849190  21.97057417 857.05267848  26.53779618   0.29413023
 66.01234015   5.75252713   0.04419056  -0.23373574  11.86025117 942.74032301  26.55229347   0.20397310
 99.51234015   5.76471366   0.03225471   0.38511872   3.26178195 1421.16300501  26.60854357   0.14888007
133.01234015   5.78524614   0.03681276   0.63502716   3.60640521 1899.58568701  26.70331658   0.16991892
166.51134015   5.77219489   0.04769673   0.89254265   4.61153270 2377.99408774  26.64307514   0.22015674
200.01234015   5.77736970   0.06632815   1.79349515  13.19436791 2856.43105101  26.66696081   0.30615493
200.01334015   5.77722199   0.06281208   1.55818384  11.06366220 2856.44533229  26.66627902   0.28992556