Heat flux and acoustic power in a T-shaped thermoacoustic system

Li, Shihuai

doi:10.32657/10356/65026

Cited by 1 publication

(2 citation statements)

References 37 publications

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“…where q′ and p′, respectively, stand for the heat release rate and the pressure fluctuations; T is time taken for the completion of one combustion oscillation cycle. 37,38 Rayleigh index for the experimental operating conditions is 0.612. This is consistent with the definition of the thermoacoustic instability stated by the Rayleigh criterion.…”

Section: Discussionmentioning

confidence: 99%

“…Higher frequencies are also available but it will reduce the signal-tonoise ratio. 37 The peak signal-to-noise ratios (PSNRs) of the two flame images were approximately calculated to be 41 and 34, respectively. A lower camera gain was chosen in the snapshots and only a small area around the flame was shot to reduce the size of the imaging plane and to improve the effective resolution.…”

Section: Measurement Techniquesmentioning

confidence: 99%

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A novel method for the identification of flame front’s position on thermoacoustic coupling combustion oscillations

Gao

Peng

Huang

et al. 2021

Energy Science & Engineering

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The flame front area is an important parameter to quantify the heat release rate. However, the limitations imposed by the measuring instruments and the measurement methodologies make it difficult to determine the flame front position in an image. This work introduces a method to detect and optimize the flame front boundary. A high‐speed camera was employed to continuously capture the flame images. By setting appropriate intensity thresholds, the impact noise can be eliminated from the image and the flame front boundary can be determined. The binary diagram of the image was morphologically processed to obtain the normalized area fluctuations of the flame front in a temporally resolved manner. Two flame types and combustion regimes were studied. A LABVIEW‐based program was used for the synchronous triggering of the camera, the photomultiplier, and the microphones. The normalized area and photomultiplier output signals of a multiple flame burner obtained within the same period were compared and combined with the spectrum information from the microphone in the cavity. The trend charts were investigated in terms of the Pearson correlation coefficient. The results showed a strong correlation, thereby verifying the feasibility of this method.

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Section: Discussionmentioning

confidence: 99%

Section: Measurement Techniquesmentioning

confidence: 99%