Development of an evaluation method to determine cavitation inception speed with aft hull vibration using kurtosis of the DEMON spectrum

Han, Hyung Suk; Lee, Chang Noh; Jeon, Soo Hong; Lee, Kyoung Hyun; Park, Sung Ho

doi:10.1016/j.oceaneng.2018.01.075

Cited by 14 publications

(2 citation statements)

References 6 publications

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“…In other studies, CIS has been predicted by using the maximum size of the bubble of cavitation and the maximum value of the noise generated, 16 or by measuring the acceleration of the hull surface above the propeller using an accelerometer. 36 In this study, significant changes in the noise trend of the inflow velocity before and after the CIS were confirmed in analysis and measurement, and these characteristics were set as the criteria for judging of the CIS, which is different from the previous method. In the other literatures, the tip vortex cavitation is known to be the earliest of various types of cavitation and to be accompanied by loud noise when it first occurs.…”

Section: Establishing the Cis Judgment Criterionmentioning

confidence: 75%

Establishment of cavitation inception speed judgment criteria by cavitation noise analysis for underwater vehicles

Jeong

Hong

Song

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part M:

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Cavitation occurs on objects that move underwater at high speeds, and it is accompanied by an increase in hull vibrations, a reduction in propulsion performance, and an increase in noise that is important for warships and submarines. Of the various types of cavitations, tip vortex cavitations (TVC) are the earliest occurring and are considered the most important in terms of cavitation inception speed (CIS). This study predicts the cavitation inception speed by conducting cavitation noise analyses. The trend of the noise according to the cavitation numbers before and after CIS was analysed, and the quantitative criteria to determine the CIS were presented through established procedures. The CIS value obtained through the analysis was verified by comparing it against the value obtained experimentally. The methods used to analyse the cavitation inception speed are developed using bubble dynamics for cavitation noises. First, flow-field information was obtained downstream of the wing to estimate the external force acting on the bubbles, and this was used to calculate the behaviour of the cavitation bubbles. The bubble dynamics analyses were performed for each cavitation nuclei by Lagrange approach to calculate the behaviour of the bubbles. The number of cavitation nuclei was calculated based on the density function with random placement upstream of the wing. The cavitation noise was analysed for various cavitation numbers, and the tendency of the noise generated for each case was investigated. The noise analysis results and the CIS predictions were compared and verified with the measured values in the Large Cavitation Tunnel (LCT) of the Korea Research Institute of Ship & Ocean Engineering (KRISO). Using these results, the effect of the tip vortex cavitation on the total flow noise was analysed, and CIS determination criteria using noise values was validated and established.

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Section: Establishing the Cis Judgment Criterionmentioning

confidence: 75%

Establishment of cavitation inception speed judgment criteria by cavitation noise analysis for underwater vehicles

Jeong

Hong

Song

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part M:

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“…Lee et al used spectral kurtosis to detect the signal arisen by the tip vortex cavitation [15]. Han et al used the kurtosis of envelope spectrum to determine the cavitation inception speed quantitatively [16].…”

Section: Introductionmentioning

confidence: 99%

Improvement of Fast Kurtogram Combined with PCA for Multiple Weak Fault Features Extraction

et al. 2020

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Demodulation plays an important role in fault feature extraction for rotating machinery. The fast kurtogram method was proved to be effective for rotating machinery demodulation. However, the demodulation effectiveness of fast kurtogram was poor for multiple fault features extraction under low signal-to-noise ratio. In this paper, an improved method of fast kurtogram, called P-kurtogram, is presented. The proposed method extracted the multiple weak fault features from multiple envelope signals-based principal component analysis. Compared with extracting features from one envelope signal of fast kurtogram, P-kurtogram showed a better demodulation performance for multiple faults. Combined with principal component analysis method, the proposed method also showed a good performance under low signal-to-noise ratio(SNR). By simulation analysis, the P-kurtogram method showed good performance for multiple modulation features extraction and robust performance in demodulation under low SNR. Then, the proposed method was demonstrated by applications of bearing faults detection and propeller detection. The results verified that the P-kurtogram has a better demodulation performance than fast kurtogram for multiple weak fault features extraction, especially under low signal-to-noise ratio. The proposed method provides a reliable basis for multiple weak fault features extraction of rotating machinery.

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Robust passive underwater acoustic detection method for propeller

et al. 2019

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Development of an evaluation method to determine cavitation inception speed with aft hull vibration using kurtosis of the DEMON spectrum

Cited by 14 publications

References 6 publications

Establishment of cavitation inception speed judgment criteria by cavitation noise analysis for underwater vehicles

Establishment of cavitation inception speed judgment criteria by cavitation noise analysis for underwater vehicles

Improvement of Fast Kurtogram Combined with PCA for Multiple Weak Fault Features Extraction

Robust passive underwater acoustic detection method for propeller

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