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_apr18_x240mm_6ms_R6 
HW diameter [micron]:  2.5 
HW length in viscous units [-]: 11.4 
HW Overheat ratio [%]:  80 
sampling freq. [Hz]:  20000 
Number of samples:  1000000 
Temperature [C]:  19.28 
atm. pressure [Pa]:  99980 
kin. viscosity [m^2/s]:  1.5192e-05 
Downstream position (from leading edge) [mm]: 240 
Configuration: 3 
Freestream vel. [m/s]:  6.3109 
Friction velocity [m/s]: 0.32908 
Viscous length scale [m]: 4.6165e-05 
 
Calculated values: 
Displacement thickness, d1 [m]: 0.0016703 
Momentum-loss thickness, d2 [m]: 0.0010757 
Boundary layer thickness (d99) [m]: 0.0095015 
Shape Factor (H_12): 1.553 
Re_d1:   694 
Re_d2:   447 
Re_tau:   206 
Beta: -0.024258 
 
 
y [m]	U [m/s]	urms [m/s]	uskew	uflat	y+	U+	urms+
  0.10408726   0.95901054   0.22214193   0.81921833   3.60531842   2.25467497   2.91424787   0.67504642
  0.13108726   1.05471760   0.29985674   0.84086420   3.66834587   2.83953257   3.20508314   0.91120675
  0.17308726   1.24742502   0.39746278   0.72682298   3.29218892   3.74931105   3.79068378   1.20781264
  0.21608726   1.50303956   0.49617458   0.64980538   3.10717813   4.68075092   4.56744702   1.50777874
  0.26508726   1.79749277   0.59023967   0.53350761   2.80022165   5.74215915   5.46223347   1.79362438
  0.32108726   2.11725539   0.66966148   0.41201264   2.56046729   6.95519713   6.43393031   2.03497195
  0.38708726   2.45840503   0.74428558   0.26631713   2.37400553   8.38484903   7.47061820   2.26174017
  0.45608726   2.76505315   0.78270210   0.16724876   2.30452268   9.87948510   8.40246264   2.37848056
  0.54708726   3.04925115   0.81185559   0.05352421   2.24335248  11.85067181   9.26608549   2.46707237
  0.64108726   3.32462881   0.81471105  -0.06266422   2.25159227  13.88684270  10.10290504   2.47574957
  0.75808726   3.58814285   0.81023051  -0.16088110   2.30475804  16.42122561  10.90367333   2.46213408
  0.88508726   3.79309077   0.79970226  -0.24124044   2.37587773  19.17222245  11.52647047   2.43014075
  1.03508726   3.98494719   0.76742225  -0.29551250   2.47055150  22.42143131  12.10948510   2.33204803
  1.20608726   4.16566188   0.73896108  -0.33866221   2.57847380  26.12552942  12.65864213   2.24556004
  1.40308726   4.32344420   0.70362124  -0.38176153   2.68179622  30.39282372  13.13811214   2.13816909
  1.62508726   4.47275640   0.66861500  -0.37986516   2.76618029  35.20165284  13.59184311   2.03179190
  1.88708726   4.60238556   0.63695925  -0.40135904   2.84932623  40.87693765  13.98576109   1.93559619
  2.18408726   4.75391733   0.60462129  -0.37870931   2.87542741  47.31037120  14.44623688   1.83732736
  2.52408726   4.89984747   0.57272791  -0.40233014   2.92441555  54.67524462  14.88969039   1.74040954
  2.52608726   4.88655427   0.57790436  -0.42426225   2.99295154  54.71856740  14.84929493   1.75613976
  2.91908726   5.02159314   0.55117207  -0.38478766   2.90896509  63.23149462  15.25965197   1.67490550
  3.36708726   5.16475430   0.52459676  -0.41451815   2.97338185  72.93579843  15.69469109   1.59414826
  3.88608726   5.30818728   0.50055562  -0.44134846   2.93487365  84.17806109  16.13055623   1.52109189
  3.88708726   5.30592572   0.50012030  -0.45330514   2.97978113  84.19972248  16.12368378   1.51976901
  4.77608726   5.54187063   0.46029680  -0.54779620   3.00275456 103.45670034  16.84067482   1.39875309
  5.66508726   5.73948754   0.41554335  -0.73944864   3.26200117 122.71367820  17.44119443   1.26275600
  6.55408726   5.91537471   0.36582805  -1.03558549   3.92369046 141.97065606  17.97568158   1.11168080
  7.44308726   6.05807259   0.30142482  -1.43762553   5.39845660 161.22763391  18.40931291   0.91597183
  8.33108726   6.16477740   0.23486955  -1.92760628   8.29615785 180.46295038  18.73356821   0.71372321
  9.22108726   6.23314098   0.17144732  -2.41657833  13.19462279 199.74158963  18.94131194   0.52099531
 10.10908726   6.27946846   0.12135382  -2.58038759  19.57370159 218.97690610  19.08209219   0.36877083
 10.99808726   6.28875981   0.08532269  -2.33181153  26.05943401 238.23388395  19.11032683   0.25927918
 11.88608726   6.29097742   0.05946750  -0.93908840  20.67484312 257.46920042  19.11706569   0.18071024
 13.88708726   6.28865981   0.03337049   0.19523979  10.97306671 300.81364664  19.11002294   0.10140647
 20.38708726   6.29045336   0.01469185  -0.10726647   2.89436427 441.61269735  19.11547320   0.04464570
 26.88708726   6.30046712   0.01650701  -0.20902714   3.14542286 582.41174805  19.14590309   0.05016160
 33.38708726   6.29541979   0.01449973  -0.14006130   2.47680844 723.21079875  19.13056522   0.04406189
 39.88708726   6.29374849   0.01378127   0.15875697   2.37828878 864.00984946  19.12548645   0.04187861
 39.88708726   6.29035194   0.01420172  -0.28135581   2.52687367 864.00984946  19.11516498   0.04315628
