Test Data AC2-09: Difference between revisions
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===Measured Data=== | ===Measured Data=== | ||
EXP1 | '''EXP1''' – The measurements of the velocity field, mixture fraction, | ||
temperature and major species in the Sandia D Flame. | temperature and major species in the Sandia D Flame. | ||
exp11.dat (ASCII file; headers: columns: x, y, z, <U>, <V>, <W>, u(RMS,v(RMS) | exp11.dat (ASCII file; headers: columns: x, y, z, <U>, <V>, <W>, u(RMS,v(RMS) | ||
exp12.dat (ASCII file, headers: columns: x, y, z, < | exp12.dat (ASCII file, headers: columns: x, y, z, <η>, <T>, &eta<sub>RMS</sub>, | ||
T'<sub>RMS</sub>) | |||
exp13.dat (ASCII file, headers: columns: x, y, z, YN2, RMS(YN2), | exp13.dat (ASCII file, headers: columns: x, y, z, YN2, RMS(YN2), |
Revision as of 08:30, 5 May 2011
SANDIA Flame D
Application Challenge AC2-09 © copyright ERCOFTAC 2024
Overview of Tests
The velocity measurements were performed with two-component fiber-optic laser Doppler anemometer (Dantec). All the details of the flow field measuring techniques applied in Sandia Flame D experiment are explained in[1]. Measured scalars for Sandia D Flame include temperature, mixture fraction, N2, O2, H2O, H2, CH4, CO, CO2, OH and NO. Experimental methods and measurement uncertainties are outlined in[1] Spontaneous Raman scattering of the beams from two Nd:YAG lasers (532 nm) was used to measure concentrations of the major species. The Rayleigh scattering signal was converted to temperature using a species-weighted scattering cross section, based on the Raman measurements. Linear laser-induced fluorescence (LIF) was used to measure OH and NO, and the fluorescence signals were corrected on a shot-to-shot basis for variations in Boltzmann fraction and collisional quenching rate. The concentration of CO was measured by Raman scattering and by two-photon laser-induced fluorescence (TPLIF).
Name | GNDPs | PDPs (Problem Definition Parameters) | MPs (Measured Parameters) | ||
---|---|---|---|---|---|
Re | Fuel jet composition | Pilot flame composition | Detailed data | DOAPs | |
EXP1 | 22400 | 25% of methane (CH4) and 75% of air | C2H2, H2, air, CO2 and N2 |
|
Axial profiles
Tmax , z/D (Tmax ) Lconst(η , YCH4 , YO2) Lconst(YH2O , YCO2) YH2, max , z/D (YH2, max ) YCO, max , z/D (YCO, max ) RMSmax z/D (RMSmax ) Radial profiles x/D = 15, 30, 45 Fmax , Umax r½(η) , r½(U ) |
MP1 | MP2 | MP3 | DOAPs or other miscellaneous data |
---|---|---|---|
U, V, u ′, v ′ (ms-1) | η, T, η ′, T ′ (m2s-2) | YN2, RMS(YN2)
YO2, RMS(YO2) YH2O, RMS(YH2O ) YH2, RMS(YH2) YCH4, RMS(YCH4) YCO, RMS(YCO ) YCO2, RMS(YCO2) YOH, RMS(YOH ) YNO, RMS(YNO ) |
|
exp11.dat | exp12.dat | exp13.dat |
TEST CASE EXP1
Description of Experiment
The Application Challenge includes just one test case, Sandia Flame D with defined Reynolds number of the fuel jet and the fuel and pilot flame compositions as given in Table EXP-A.
Boundary Data
The inlet mean and fluctuating velocity at the distance x/D=1 from the burner are shown in Fig.3. The inlet parabolic profile had a maximum at the centre of the fuel nozzle of Umax = 62 m/s. The pilot flame bulk velocity Upilot = 11.4 m/s and the coflow velocity Ucfl = 0.9 m/s.
Fig. 3: Mean and RMS inlet profiles of the axial velocity. |
Measurement Errors
The flow field measurement statistical errors are estimated in[1] as below 5% for the mean velocities and within 10% for fluctuating components. The scalar measurement errors are estimated and analyzed in[2]. The relative uncertainty (not including statistical noise or potential effects of spatial averaging) is estimated to be within 2% for the Raman measurements, 5% for OH, 5% for CO, and 10% for NO.
Measured Data
EXP1 – The measurements of the velocity field, mixture fraction, temperature and major species in the Sandia D Flame.
exp11.dat (ASCII file; headers: columns: x, y, z, , <V>, <W>, u(RMS,v(RMS)
exp12.dat (ASCII file, headers: columns: x, y, z, <η>, <T>, &etaRMS, T'RMS)
exp13.dat (ASCII file, headers: columns: x, y, z, YN2, RMS(YN2), YO2,RMS(YO2), YH2O, RMS(YH2O ), YH2, RMS(YH2), YCH4, RMS(YCH4), YCO, RMS(YCO), YCO2, RMS(YCO2), YOH, RMS(YOH), YNO, RMS(YNO)
References
Contributed by: Andrzej Boguslawski — Technical University of Częstochowa
© copyright ERCOFTAC 2024