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_apr27_x600mm_12ms_R6 
HW diameter [micron]:  2.5 
HW length in viscous units [-]: 18.7 
HW Overheat ratio [%]:  80 
sampling freq. [Hz]:  60000 
Number of samples:  1800000 
Temperature [C]:  19.21 
atm. pressure [Pa]:  100330 
kin. viscosity [m^2/s]:  1.5132e-05 
Downstream position (from leading edge) [mm]: 600 
Configuration: 3 
Freestream vel. [m/s]:  12.2312 
Friction velocity [m/s]: 0.53921 
Viscous length scale [m]: 2.8063e-05 
 
Calculated values: 
Displacement thickness, d1 [m]: 0.0026379 
Momentum-loss thickness, d2 [m]: 0.001844 
Boundary layer thickness (d99) [m]: 0.015603 
Shape Factor (H_12): 1.431 
Re_d1:  2132 
Re_d2:  1491 
Re_tau:   556 
Beta: -0.001863 
 
 
y [m]	U [m/s]	urms [m/s]	uskew	uflat	y+	U+	urms+
  0.07869094   1.92475914   0.44295356   0.85640147   3.90301209   2.80409408   3.56956658   0.82148056
  0.09569094   2.10085336   0.57797089   0.86869328   3.87523465   3.40987661   3.89614251   1.07187726
  0.12869094   2.46442465   0.76030725   0.77002107   3.47412261   4.58580740   4.57040450   1.41002959
  0.16369094   2.97927100   0.94204794   0.62357671   3.05585952   5.83300673   5.52521400   1.74707721
  0.19969094   3.53995991   1.10341104   0.48503962   2.75057439   7.11584032   6.56504094   2.04633353
  0.25369094   4.16092584   1.24868993   0.34998630   2.52521754   9.04009071   7.71665476   2.31576083
  0.30669094   4.81335977   1.33389061   0.18930993   2.38545851  10.92870683   8.92662762   2.47376995
  0.38169094   5.40627356   1.37206182   0.06967253   2.36185260  13.60127682  10.02621729   2.54456046
  0.46769094   5.92534976   1.37748097  -0.03908055   2.35604009  16.66582374  10.98887128   2.55461056
  0.56869094   6.34166956   1.35573913  -0.10237734   2.42907046  20.26488465  11.76095812   2.51428918
  0.69769094   6.74873686   1.30898254  -0.16272641   2.51720992  24.86170503  12.51588574   2.42757663
  0.84369094   7.10889328   1.25658928  -0.18275569   2.61266084  30.06430793  13.18381467   2.33041058
  1.02669094   7.44865696   1.20095581  -0.20450874   2.67526598  36.58537870  13.81392420   2.22723541
  1.24569094   7.66336389   1.15498207  -0.18239982   2.73240609  44.38928306  14.21210943   2.14197470
  1.50769094   7.96881584   1.10775928  -0.17586925   2.76053903  53.72546088  14.77858606   2.05439757
  1.82469094   8.19214079   1.07372411  -0.14299329   2.74794077  65.02152335  15.19275389   1.99127756
  2.20669094   8.41444026   1.03882846  -0.12821956   2.75653053  78.63381314  15.60501988   1.92656175
  2.66769094   8.74863898   1.02061359  -0.13687224   2.75493651  95.06120999  16.22480890   1.89278132
  3.22369094   8.98236580   0.99346579  -0.12515198   2.74710076 114.87386215  16.65826751   1.84243431
  3.89069094   9.27506266   0.96526512  -0.14494863   2.73370579 138.64191790  17.20108917   1.79013469
  3.89269094   9.29217980   0.96736003  -0.14965737   2.73651589 138.71318643  17.23283380   1.79401980
  4.69969094   9.56123048   0.93642369  -0.16198928   2.73475589 167.47003948  17.73180237   1.73664674
  5.67369094   9.98236632   0.89252237  -0.24698012   2.78371288 202.17781503  18.51282082   1.65522945
  6.84669094  10.32361466   0.84267839  -0.32623239   2.84421450 243.97680961  19.14568374   1.56279118
  8.26269094  10.75115225   0.77442400  -0.44279054   2.97568257 294.43493094  19.93857458   1.43620984
  9.96569094  11.15233007   0.69413577  -0.59980641   3.12900603 355.12008676  20.68257984   1.28731113
  9.96669094  11.21347657   0.67948035  -0.63399118   3.19370073 355.15572103  20.79597922   1.26013188
 12.46669094  11.73321828   0.52758429  -1.11107406   4.29659046 444.24138722  21.75986743   0.97843269
 14.96669094  12.06670429   0.33454850  -2.01787753   8.97221092 533.32705342  22.37833469   0.62043770
 17.46669094  12.23269252   0.15624940  -2.65552877  21.71265707 622.41271962  22.68616855   0.28977269
 19.96669094  12.24232189   0.07884572  -0.80584061  19.89959952 711.49838582  22.70402672   0.14622352
 22.46669094  12.25113357   0.05197301   0.09609474   8.87556092 800.58405202  22.72036843   0.09638667
 24.96669094  12.25463842   0.04403957   0.15621244   3.38924435 889.66971822  22.72686836   0.08167368
 27.46669094  12.25936609   0.03633205   0.16519396   2.81575118 978.75538442  22.73563607   0.06737970
 29.96669094  12.25588417   0.03287524   0.09172336   2.84854653 1067.84105061  22.72917867   0.06096886
 32.96669094  12.27698084   0.03040504  -0.14350636   3.07068413 1174.74385005  22.76830355   0.05638774
 49.71769094  12.26116312   0.03322696  -0.39965786   2.61405798 1771.65344785  22.73896877   0.06162115
 66.46769094  12.27484539   0.02735139  -0.13097894   2.53237664 2368.52741138  22.76434326   0.05072458
 83.21669094  12.26966405   0.03414060  -0.52858639   3.02862210 2965.36574065  22.75473418   0.06331553
 99.96569094  12.25865766   0.02624770   0.21053377   3.02480939 3562.20406991  22.73432225   0.04867774
 99.96769094  12.27651285   0.02622126   0.11845240   3.13011668 3562.27533844  22.76743565   0.04862870