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_x2700mm_6ms_R12 
HW diameter [micron]:  2.5 
HW length in viscous units [-]: 7.4 
HW Overheat ratio [%]:  80 
sampling freq. [Hz]:  20000 
Number of samples:  2000000 
Temperature [C]:  19.25 
atm. pressure [Pa]:  102372.2727 
kin. viscosity [m^2/s]:  1.4834e-05 
Downstream position (from leading edge) [mm]: 2700 
Configuration: 1 
Freestream vel. [m/s]:  5.5891 
Friction velocity [m/s]: 0.20923 
Viscous length scale [m]: 7.0901e-05 
 
Calculated values: 
Displacement thickness, d1 [m]: 0.011577 
Momentum-loss thickness, d2 [m]: 0.0077211 
Boundary layer thickness (d99) [m]: 0.055998 
Shape Factor (H_12): 1.499 
Re_d1:  4362 
Re_d2:  2909 
Re_tau:   790 
Beta: 0.943 
 
 
y [m]	U [m/s]	urms [m/s]	uskew	uflat	y+	U+	urms+
  0.21297923   0.66860705   0.22287318   1.11095521   4.81129855   3.00391240   3.19563315   1.06523096
  0.24397923   0.72436005   0.26080932   1.01548112   4.46328519   3.44114416   3.46210677   1.24654817
  0.28997923   0.80600841   0.31325415   0.86406397   3.80887642   4.08993967   3.85234821   1.49721026
  0.34397923   0.95342580   0.37815423   0.73111658   3.47802003   4.85156918   4.55693532   1.80740268
  0.40597923   1.14361793   0.43886196   0.57128808   3.07496624   5.72603269   5.46596590   2.09755764
  0.49597923   1.35718323   0.49149810   0.47346717   2.84312739   6.99541521   6.48670947   2.34913407
  0.59697923   1.57243127   0.52587730   0.35920542   2.68948906   8.41994448   7.51549577   2.51345079
  0.73297923   1.78946979   0.55652064   0.25337863   2.57317855  10.33812251   8.55283972   2.65991184
  0.89497923   2.01749922   0.57084184   0.16019385   2.51635001  12.62301104   9.64271518   2.72836056
  1.10297923   2.23412083   0.58321637   0.06601670   2.54163839  15.55669509  10.67806653   2.78750509
  1.35997923   2.42869332   0.57246765   0.00669414   2.59319434  19.18148739  11.60803320   2.73613119
  1.68497923   2.59959349   0.56180125  -0.04381219   2.64172652  23.76536871  12.42485714   2.68515070
  2.08997923   2.73399914   0.54363183  -0.05300461   2.69446421  29.47759005  13.06725414   2.59830927
  2.59897923   2.89107906   0.51886028  -0.04304632   2.74110180  36.65665340  13.81802367   2.47991270
  3.23697923   2.98763136   0.50738438  -0.00989053   2.77785887  45.65516504  14.27949908   2.42506318
  4.03297923   3.10915646   0.48714703   0.02563060   2.82052877  56.88214821  14.86033298   2.32833799
  5.03097923   3.21314068   0.48165478   0.05515536   2.77277287  70.95818992  15.35732954   2.30208755
  6.28397923   3.33765811   0.47729363   0.08665092   2.76910990  88.63081544  15.95246539   2.28124325
  7.84897923   3.45447110   0.47046179   0.08826445   2.75718829 110.70396702  16.51077760   2.24859024
  9.80897923   3.59375688   0.46443078   0.04524101   2.71592885 138.34829743  17.17649936   2.21976479
  9.80997923   3.59345923   0.47627390   0.07246715   2.71776224 138.36240168  17.17507671   2.27636942
 12.26797923   3.73936237   0.46753241   0.05933512   2.73363496 173.03064870  17.87242639   2.23458917
 15.34697923   3.94138950   0.46513287  -0.02491018   2.74662900 216.45763511  18.83802282   2.22312047
 19.20197923   4.17758463   0.45182472  -0.09000003   2.76657906 270.82951967  19.96692655   2.15951364
 24.03097923   4.38295161   0.43751082  -0.17677402   2.77782219 338.93894395  20.94848595   2.09109980
 30.07897923   4.68909885   0.40094347  -0.32321159   2.88286256 424.24144923  22.41172848   1.91632476
 36.74597923   4.99473464   0.35860038  -0.55940228   3.11757469 518.27448539  23.87252645   1.71394433
 43.41197923   5.25536997   0.29559444  -0.91428563   3.81221796 612.29341730  25.11824306   1.41280499
 50.07997923   5.43232589   0.21023856  -1.53310782   6.24638470 706.34055772  25.96401071   1.00484331
 56.74597923   5.54595628   0.12586009  -2.24996827  12.53467633 800.35948963  26.50711151   0.60155314
 63.41197923   5.60043936   0.07037668  -1.56358984  17.06187912 894.37842154  26.76751552   0.33636803
 70.07897923   5.62381515   0.04796139   0.08292059   6.21928881 988.41145771  26.87924098   0.22923332
 76.74597923   5.59567692   0.04215160   0.38451662   3.67807553 1082.44449387  26.74475322   0.20146518
 83.41097923   5.59522840   0.04063450   0.38110887   3.22587836 1176.44932153  26.74260953   0.19421414
 90.07897923   5.60849680   0.03760925   0.37043949   3.34545541 1270.49646194  26.80602634   0.17975488
 99.07897923   5.62392131   0.04005764   0.43645089   3.24984764 1397.43471385  26.87974840   0.19145702
113.22197923   5.61465154   0.04435969   0.60046810   3.62276919 1596.91112460  26.83544318   0.21201885
127.36497923   5.60544871   0.04647650   0.61191154   3.85952714 1796.38753535  26.79145788   0.22213620
141.50797923   5.60467469   0.05198551   0.99857974   5.78927013 1995.86394609  26.78775844   0.24846675
155.64997923   5.62041442   0.06428365   1.23194371   7.55548884 2195.32625259  26.86298706   0.30724618
169.79297923   5.61233770   0.07080535   1.12987470   6.68529541 2394.80266334  26.82438408   0.33841688
183.93597923   5.59992042   0.08485906   1.77014621  15.60196692 2594.27907409  26.76503520   0.40558713
198.07897923   5.61947150   0.10801528   1.17333876  17.12385293 2793.75548483  26.85848032   0.51626320
198.07897923   5.60596961   0.10171291   1.58339178  13.35068511 2793.75548483  26.79394753   0.48614077
