Sentence examples for dissipation spectrum from inspiring English sources

The high signal-to-noise ratio and spatial resolution of the measured temperature field enables determination of the cutoff wavenumber in the 1-D temperature dissipation spectrum obtained at each flame location.

Measurements from the piloted CH4/air flames are used to demonstrate that a surrogate cutoff scale may be obtained from the dissipation spectrum of the inverse of the Rayleigh signal itself, even when the Rayleigh scattering cross section varies through the flame.

This resolution limit is compared to values determined from one-dimensional dissipation spectra and scaling laws.

The cutoff frequency of the dissipation range (i.e., the Batchelor frequency) is determined from the 1D thermal dissipation spectra.

In general, the dissipation spectra rarely exhibit the Debye peak predicted by Eq. (2); instead, internal friction is often a weak monotonic function of frequency[9].

In general, the dissipation spectra rarely exhibit the Debye peak predicted by Eq. (2); instead, internal friction is often a weak monotonic function of frequency [9].

The measured thermal dissipation spectra in the turbulent flames are shown to be similar to the model spectrum of Pope for turbulent kinetic energy dissipation.

The resulting 1D energy and dissipation spectra at all downstream stations collapse when properly normalized and fit well to model spectra at a Taylor Reynolds number near 55.

Performance gain in the turbulent case is assessed by comparing scalar energy and dissipation spectra produced by several bounded and unbounded schemes.

The high signal-to-noise ratio of the 1D Rayleigh scattering images enables determination of the turbulent cutoff wavenumber from 1D dissipation spectra.

The measured energy and dissipation spectra exhibit significant overlap at intermediate frequencies, which indicates that the largest scales of the dissipation range may be significantly influenced by the large, energy containing scales.