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_x1100mm_6ms_R6 
HW diameter [micron]:  2.5 
HW length in viscous units [-]: 9.8 
HW Overheat ratio [%]:  80 
sampling freq. [Hz]:  20000 
Number of samples:  1000000 
Temperature [C]:  19.33 
atm. pressure [Pa]:  100017.9487 
kin. viscosity [m^2/s]:  1.519e-05 
Downstream position (from leading edge) [mm]: 1100 
Configuration: 3 
Freestream vel. [m/s]:  6.294 
Friction velocity [m/s]: 0.28342 
Viscous length scale [m]: 5.3596e-05 
 
Calculated values: 
Displacement thickness, d1 [m]: 0.0043979 
Momentum-loss thickness, d2 [m]: 0.0030199 
Boundary layer thickness (d99) [m]: 0.02421 
Shape Factor (H_12): 1.456 
Re_d1:  1822 
Re_d2:  1251 
Re_tau:   452 
Beta: 0.048439 
 
 
y [m]	U [m/s]	urms [m/s]	uskew	uflat	y+	U+	urms+
  0.14224104   0.90884421   0.24935073   0.93264476   4.00271017   2.65393753   3.20673543   0.87980075
  0.18524104   1.03453094   0.33822417   0.82898512   3.67374092   3.45623278   3.65020428   1.19337882
  0.24224104   1.27994892   0.44507661   0.68169793   3.28272837   4.51974043   4.51612887   1.57039338
  0.30824104   1.55527703   0.53212442   0.56021083   2.92643112   5.75117035   5.48758735   1.87752997
  0.38824104   1.88370307   0.61938420   0.39371710   2.67829672   7.24381268   6.64639476   2.18541444
  0.48524104   2.23707833   0.68330444   0.25782453   2.45735336   9.05364150   7.89323218   2.41094847
  0.59724104   2.54530664   0.71266545   0.11475896   2.36208586  11.14334076   8.98077460   2.51454487
  0.74224104   2.83197550   0.74086751   0.01079639   2.32710915  13.84875498   9.99224741   2.61405210
  0.91024104   3.10156890   0.73638349  -0.11164234   2.39525386  16.98330386  10.94347171   2.59823081
  1.11724104   3.33049842   0.71466705  -0.19026357   2.50636622  20.84551588  11.75121899   2.52160727
  1.36324104   3.54282541   0.69142047  -0.21559755   2.58414344  25.43539104  12.50038641   2.43958480
  1.66424104   3.70926913   0.66265540  -0.25838189   2.65996359  31.05145780  13.08766086   2.33809108
  2.02424104   3.88397817   0.62730242  -0.25391608   2.74933257  37.76834827  13.70409838   2.21335284
  2.46324104   4.03033779   0.60066975  -0.26357751   2.80576866  45.95922304  14.22050876   2.11938301
  2.99024104   4.17265818   0.56889619  -0.19386795   2.80196726  55.79200436  14.72266726   2.00727424
  3.62724104   4.31559651   0.55257851  -0.18722256   2.80920118  67.67716889  15.22700606   1.94969949
  4.39724104   4.43218221   0.53104195  -0.14101732   2.78116119  82.04385129  15.63836313   1.87371063
  5.32624104   4.57783365   0.51486037  -0.13742430   2.75641766  99.37716031  16.15227477   1.81661607
  6.44824104   4.73549505   0.50104563  -0.14122497   2.74832222 120.31146895  16.70856197   1.76787261
  6.44924104   4.71898157   0.50105531  -0.12126352   2.73571860 120.33012698  16.65029639   1.76790676
  7.80724104   4.91817249   0.48772289  -0.18327658   2.76882336 145.66773048  17.35311495   1.72086511
  9.44624104   5.10558117   0.47166616  -0.24162826   2.76585344 176.24824015  18.01436143   1.66421108
 11.42424104   5.32439319   0.43850775  -0.33685555   2.84404447 213.15382168  18.78641043   1.54721604
 11.42524104   5.32509110   0.43764925  -0.32756159   2.84968990 213.17247971  18.78887291   1.54418695
 13.98124104   5.54867364   0.40342201  -0.48809650   3.00204160 260.86240206  19.57775407   1.42342068
 16.53624104   5.75997312   0.35661017  -0.64152122   3.16363198 308.53366638  20.32329607   1.25825136
 19.09224104   5.96334919   0.30268277  -1.02301947   3.99856196 356.22358872  21.04088136   1.06797575
 21.64724104   6.12810457   0.22858642  -1.56968224   6.16603922 403.89485304  21.62219872   0.80653667
 24.20424104   6.23095563   0.15053828  -2.22705766  10.95930335 451.60343342  21.98509497   0.53115421
 26.75824104   6.27513305   0.08637981  -2.57332822  20.97834656 499.25603970  22.14096910   0.30477961
 29.31424104   6.30707925   0.05319785  -1.67604080  25.61032941 546.94596205  22.25368699   0.18770152
 31.86824104   6.28844022   0.03767262   0.07217949   8.18766366 594.59856834  22.18792165   0.13292281
 34.42524104   6.28374880   0.03051439   0.04808521   9.30792335 642.30714871  22.17136860   0.10766595
 40.17524104   6.29051428   0.02263390   0.41547751   3.41259573 749.59081596  22.19523969   0.07986069
 58.86324104   6.28772222   0.01589698   0.20389962   3.00144969 1098.27206354  22.18538831   0.05609035
 77.55024104   6.28858804   0.01511649  -0.08900166   3.07296190 1446.93465309  22.18844321   0.05333651
 96.23824104   6.29251206   0.01495512   0.18250363   3.08688462 1795.61590067  22.20228860   0.05276714
114.92424104   6.29753724   0.01684663  -0.12723044   3.03271430 2144.25983219  22.22001927   0.05944108
114.92524104   6.29280965   0.01680106   0.23421929   2.82517135 2144.27849022  22.20333860   0.05928028