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Simple expressions are obtained to correlate integral time scale with rotation number.
The measured and predicted power spectral densities for OH are found to collapse to the same shape when normalized by the local integral time scale.
Recently, Bartzis et al. (2008) have introduced an approach relating maximum dosage to parameters such as concentration variance and turbulence integral time scale.
The autocorrelation functions are found to collapse when normalized by the integral time scale, indicating that a single time scale adequately characterizes the full range of scalar fluctuations.
A similar study of hydroxyl concentrations in nonpremixed hydrogen/argon flames recently demonstrated that OH PSDs collapse to a single curve when normalized by the integral time scale, in agreement with mixture fraction statistics.
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The model successfully captures complicated features in the radial distribution of OH integral time scales.
Across the flame brush, integral time scales are dominated by turbulent convection, as verified by flamelet simulations.
LDV measurements provide radial profiles of mean axial velocity, mean radial velocity, and turbulent kinetic energy as well as integral time scales.
Autocorrelation functions were computed from the time series and were used to calculate integral time scales for many axial and radial locations in each jet.
Above the flame tip, integral time scales are determined by a competition between turbulent convection and the reaction rate for OH destruction.
Power spectral density and autocorrelation functions derived from the LDA data acquired at 10 kHz are optimized to calculate the integral time scales.
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