2022
DOI: 10.1007/s13369-021-06459-w
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A DFT Spectrum Acoustic Analysis for Investigating Pulse Duration Effect on Performance, Psychoacoustic Sound Level of Turbocharger Turbines Through C +  + FDM Code

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Cited by 2 publications
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“…Only fundamental components of the profiles were considered. The fundamental component of each component was obtained through an FFT spectral analysis using the same decomposition method of Ketata et al 9,40 Figures 17 and 18 show the superposition of the instantaneous output power profile to the static pressure one for the different working fluids and under the investigated flow pulse frequencies. Figure 19(a) illustrates an example of this time lag at a flow pulse frequency of 100 Hz for the ALGW case.…”
Section: Flow Mixture Effect On Turbo Lagmentioning
confidence: 99%
“…Only fundamental components of the profiles were considered. The fundamental component of each component was obtained through an FFT spectral analysis using the same decomposition method of Ketata et al 9,40 Figures 17 and 18 show the superposition of the instantaneous output power profile to the static pressure one for the different working fluids and under the investigated flow pulse frequencies. Figure 19(a) illustrates an example of this time lag at a flow pulse frequency of 100 Hz for the ALGW case.…”
Section: Flow Mixture Effect On Turbo Lagmentioning
confidence: 99%