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_x240mm_12ms_R6 
HW diameter [micron]:  2.5 
HW length in viscous units [-]: 20.2 
HW Overheat ratio [%]:  80 
sampling freq. [Hz]:  60000 
Number of samples:  1800000 
Temperature [C]:  19.25 
atm. pressure [Pa]:  100336.3415 
kin. viscosity [m^2/s]:  1.5134e-05 
Downstream position (from leading edge) [mm]: 240 
Configuration: 3 
Freestream vel. [m/s]:  12.2806 
Friction velocity [m/s]: 0.58126 
Viscous length scale [m]: 2.6037e-05 
 
Calculated values: 
Displacement thickness, d1 [m]: 0.0016212 
Momentum-loss thickness, d2 [m]: 0.0010993 
Boundary layer thickness (d99) [m]: 0.0093608 
Shape Factor (H_12): 1.475 
Re_d1:  1316 
Re_d2:   892 
Re_tau:   360 
Beta: -0.035264 
 
 
y [m]	U [m/s]	urms [m/s]	uskew	uflat	y+	U+	urms+
  0.07381728   1.97156771   0.50348633   0.90437248   4.03043931   2.83507843   3.39187666   0.86619572
  0.08881728   2.17989863   0.61717673   0.86083226   3.79947877   3.41117898   3.75028827   1.06178821
  0.11281728   2.53265642   0.76944740   0.80068637   3.55822641   4.33293986   4.35717126   1.32375401
  0.13181728   2.94655334   0.92016738   0.68857648   3.20221910   5.06266723   5.06923776   1.58305203
  0.16581728   3.43519996   1.06836597   0.57281268   2.90839904   6.36849514   5.90990331   1.83801225
  0.19381728   4.03009723   1.21487676   0.44371504   2.64936976   7.44388284   6.93336203   2.09006879
  0.23581728   4.55462092   1.32036089   0.31473821   2.46830515   9.05696439   7.83575034   2.27154322
  0.27981728   5.10615289   1.38884944   0.19415724   2.36557739  10.74685934   8.78460357   2.38937063
  0.33181728   5.64447947   1.43577554   0.07981310   2.32707245  12.74400792   9.71073832   2.47010209
  0.38681728   6.07848866   1.43403232   0.01211364   2.35432121  14.85637661  10.45740588   2.46710307
  0.45881728   6.45830796   1.41816682  -0.03832814   2.37214185  17.62165925  11.11084537   2.43980812
  0.53881728   6.88411828   1.40146616  -0.10829350   2.42890076  20.69419553  11.84340762   2.41107639
  0.63281728   7.17390335   1.35815327  -0.15565745   2.51297636  24.30442565  12.34195263   2.33656108
  0.73681728   7.50149398   1.31317251  -0.18166352   2.58354727  28.29872281  12.90553814   2.25917636
  0.86481728   7.79070221   1.27395466  -0.20039890   2.64123927  33.21478085  13.40309074   2.19170615
  1.00781728   7.97849011   1.22494518  -0.20533658   2.71241468  38.70693945  13.72616025   2.10739044
  1.17681728   8.26408862   1.18637425  -0.20685274   2.75006098  45.19767233  14.21750269   2.04103317
  1.37381728   8.46699722   1.14346686  -0.17879060   2.77583134  52.76379291  14.56658578   1.96721549
  1.59781728   8.68534399   1.10695248  -0.15291000   2.77391422  61.36689448  14.94222863   1.90439631
  1.86081728   8.91171034   1.07834827  -0.15268790   2.75441170  71.46785749  15.33166832   1.85518575
  1.86181728   8.89372945   1.08716241  -0.14289503   2.77689675  71.50626419  15.30073409   1.87034956
  2.16681728   9.16481322   1.06220380  -0.13852872   2.74840023  83.22030874  15.76710543   1.82741088
  2.52081728   9.43799105   1.04657490  -0.16302495   2.73537317  96.81628176  16.23707941   1.80052298
  2.93081728   9.66829067   1.02355578  -0.17663681   2.72016205 112.56303018  16.63328589   1.76092098
  3.40881728   9.96601593   0.98907861  -0.22488449   2.72426817 130.92143442  17.14549116   1.70160660
  3.96081728  10.29860934   0.96120205  -0.30929229   2.74674112 152.12193473  17.71768344   1.65364789
  3.96181728  10.30962868   0.96809573  -0.31122944   2.72718531 152.16034143  17.73664106   1.66550774
  4.96181728  10.74689054   0.90063341  -0.44918964   2.79732971 190.56704488  18.48890450   1.54944587
  5.96181728  11.24030992   0.79620492  -0.76076622   3.22237691 228.97374833  19.33778108   1.36978754
  6.96181728  11.65389549   0.67540330  -1.18989901   4.38041706 267.38045177  20.04931192   1.16196095
  7.96181728  11.94594613   0.51203219  -1.76745854   7.15901356 305.78715522  20.55175460   0.88089799
  8.96081728  12.11702743   0.34538065  -2.44686314  13.40770690 344.15545197  20.84608213   0.59419139
  9.96181728  12.21914456   0.21938481  -2.52185773  21.20530409 382.60056212  21.02176400   0.37742868
 10.96181728  12.22769484   0.15054235  -2.15497926  26.68150411 421.00726556  21.03647387   0.25899241
 11.96081728  12.24130770   0.10044125  -0.35453364  17.24157128 459.37556231  21.05989337   0.17279869
 13.16081728  12.25240319   0.07413668   0.20480863  12.80479495 505.46360645  21.07898201   0.12754442
 19.86181728  12.24029733   0.03108164   0.17022854   2.92526781 762.82692625  21.05815514   0.05347273
 26.56181728  12.22902596   0.03052936  -0.39501363   2.74160626 1020.15183935  21.03876393   0.05252259
 33.26181728  12.23065002   0.02530268   0.33138175   2.93461575 1277.47675245  21.04155795   0.04353062
 39.96181728  12.24443094   0.02807732   0.26720620   2.87641660 1534.80166555  21.06526658   0.04830409
 39.96181728  12.25362858   0.02326437   0.48590129   3.15331340 1534.80166555  21.08109016   0.04002392