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_apr21_x4200mm_12ms_R6 
HW diameter [micron]:  2.5 
HW length in viscous units [-]: 9.3 
HW Overheat ratio [%]:  80 
sampling freq. [Hz]:  60000 
Number of samples:  7800000 
Temperature [C]:  19.25 
atm. pressure [Pa]:  101191.2821 
kin. viscosity [m^2/s]:  1.5007e-05 
Downstream position (from leading edge) [mm]: 4200 
Configuration: 3 
Freestream vel. [m/s]:  9.3851 
Friction velocity [m/s]: 0.2659 
Viscous length scale [m]: 5.6437e-05 
 
Calculated values: 
Displacement thickness, d1 [m]: 0.025613 
Momentum-loss thickness, d2 [m]: 0.015965 
Boundary layer thickness (d99) [m]: 0.10405 
Shape Factor (H_12): 1.604 
Re_d1: 16018 
Re_d2:  9985 
Re_tau:  1844 
Beta: 2.3843 
 
 
y [m]	U [m/s]	urms [m/s]	uskew	uflat	y+	U+	urms+
  0.17387626   0.81306271   0.33334818   1.21998773   5.11842067   3.08088890   3.05773344   1.25364238
  0.21887626   0.98687658   0.44340294   1.08328657   4.58022442   3.87823755   3.71140562   1.66753187
  0.28587626   1.27661052   0.56365070   0.85090640   3.76025452   5.06540108   4.80102532   2.11975481
  0.36987626   1.63183983   0.67624357   0.62509022   3.18020014   6.55378521   6.13695737   2.54318953
  0.48387626   2.02716206   0.76369471   0.45314053   2.89611635   8.57373511   7.62366926   2.87207226
  0.63387626   2.42416641   0.82405872   0.29911133   2.69352183  11.23156392   9.11670722   3.09908679
  0.83387626   2.77898804   0.83529759   0.18570491   2.67130055  14.77533567  10.45110607   3.14135345
  1.10387626   3.10894744   0.84960577   0.11928738   2.69995800  19.55942752  11.69200409   3.19516309
  1.45987626   3.35025581   0.83300128   0.12767713   2.76567357  25.86734123  12.59950686   3.13271761
  1.93687626   3.59128325   0.81161193   0.10900610   2.81412035  34.31923685  13.50595312   3.05227741
  2.57187626   3.77876807   0.79407887   0.12410714   2.86508557  45.57071214  14.21103846   2.98633979
  3.41787626   3.98961914   0.78941105   0.15481075   2.89038360  60.56086663  15.00399866   2.96878522
  4.54587626   4.19037915   0.77673236   0.17411239   2.89194426  80.54773928  15.75900882   2.92110371
  6.04887626   4.38758610   0.77915946   0.18575434   2.87110452 107.17918395  16.50065675   2.93023147
  8.05287626   4.61804510   0.78634438   0.19592952   2.85014448 142.68777685  17.36735766   2.95725222
 10.72487626   4.81711746   0.80450582   0.20245043   2.85527705 190.03256738  18.11602097   3.02555303
 14.28487626   5.05640402   0.80817279   0.20518622   2.86867641 253.11170446  19.01592020   3.03934361
 19.02887626   5.36682856   0.82956966   0.16660153   2.78522451 337.16997029  20.18335226   3.11981209
 25.35787626   5.73924008   0.84310994   0.09181822   2.79471601 449.31262720  21.58390249   3.17073385
 25.35987626   5.74362345   0.84896890   0.11733368   2.76994180 449.34806492  21.60038729   3.19276797
 33.79587626   6.24327169   0.86453685   0.06114587   2.71953454 598.82435717  23.47944423   3.25131530
 45.04087626   6.90388572   0.84573347  -0.12818620   2.73169557 798.07292361  25.96385483   3.18060030
 60.03087626   7.74392992   0.76979244  -0.37162278   2.87856394 1063.67861600  29.12305915   2.89500433
 60.03187626   7.73482238   0.76676356  -0.37740584   2.91762550 1063.69633485  29.08880786   2.88361345
 73.36487626   8.37603808   0.65642386  -0.69655721   3.33436326 1299.94187832  31.50026599   2.46865238
 86.69887626   8.95564786   0.48130829  -1.35013659   5.33364693 1536.20514065  33.68003909   1.81008479
100.03187626   9.25950649   0.27191132  -2.13087150  11.84539617 1772.45068412  34.82277834   1.02259313
113.36487626   9.36463457   0.14977515  -1.00254453  15.64876237 2008.69622758  35.21813979   0.56326835
126.69687626   9.37093633   0.11672806   0.44404805  10.12312385 2244.92405219  35.24183919   0.43898616
140.03187626   9.35631785   0.10999497   1.03357925  11.27468017 2481.20503338  35.18686260   0.41366464
153.36487626   9.37028523   0.11251036   1.04977571   9.86780255 2717.45057684  35.23939055   0.42312444
166.69887626   9.34589453   0.11747284   1.67593344  17.58420893 2953.71383917  35.14766301   0.44178713
180.03187626   9.36206899   0.12754418   1.52258572  15.52815565 3189.95938264  35.20849126   0.47966300
198.03187626   9.33060548   0.14766161   1.10908687  25.76342438 3508.89883980  35.09016457   0.55531982
202.53187626   9.33721711   0.15492493   0.38997982  37.37749012 3588.63370410  35.11502932   0.58263543
207.03187626   9.32285493   0.16162027   0.95742081  26.50529501 3668.36856839  35.06101659   0.60781501
211.53187626   9.33036149   0.17526126   0.02417705  40.97098462 3748.10343268  35.08924698   0.65911548
216.03187626   9.31943795   0.18895500   0.05714737  28.95488254 3827.83829697  35.04816618   0.71061433
216.03287626   9.33328638   0.18860870   0.32353207  27.79433541 3827.85601583  35.10024678   0.70931198