Acoustic monitoring of pipeline flows: particulate slurries

Hou, Ruozhou; Hunt, A.; Williams, Richard A

doi:10.1016/s0032-5910(99)00051-0

Cited by 40 publications

(29 citation statements)

References 7 publications

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“…They observed a general third power correlation between the measured AE energy and the particle diameter, but the energy was lower than expected for higher particle sizes, which was attributed to particle drop-out according to Stokes' Law. Hou et al [15] measured the "acoustic noise" produced by a high concentration slurry of fine silica sand particles (13 μm) flowing in a small diameter flow loop by mounting an AE sensor on the external wall of the pipe. Using both AE signature and stepwise regression analysis, they obtained correlations between the AE and the physical properties of the flow, such as solid concentration, mass flow rate and volume flow rate.…”

Section: Introductionmentioning

confidence: 99%

Monitoring acoustic emission (AE) energy of abrasive particle impacts in a slurry flow loop using a statistical distribution model

Droubi

Reuben

2016

Applied Acoustics

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Section: Introductionmentioning

confidence: 99%

Monitoring acoustic emission (AE) energy of abrasive particle impacts in a slurry flow loop using a statistical distribution model

Droubi

Reuben

2016

Applied Acoustics

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“…Some of the investigators in this area have concentrated on monitoring the erosion variables [18,19], and others have concentrated on monitoring the amount of erosion [5,20]. Acoustic Emission (AE) has been also proposed as a promising tool for on line monitoring of material removal involved in the abrasive water jet (AWJ) drilling process.…”

Section: Introductionmentioning

confidence: 99%

Monitoring acoustic emission (AE) energy in slurry impingement using a new model for particle impact

Droubi

Reuben

White

2015

Mechanical Systems and Signal Processing

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A series of systematic impact tests have been carried out to investigate the influence of particle size, free stream velocity, particle impact angle, and nominal particle concentration on the amount of energy dissipated in a carbon steel target using a slurry impingement erosion test rig, as indicated by the acoustic emission (AE) recorded by a sensor mounted on the back of the target. Silica sand particles of mean particle size 152.5, 231, and 362.5 μm were used for impingement on the target at angles varying between 30 o and 90 o while the free stream velocity was changed between 4.2 and 12.7 ms -1 .In previous work by the authors, it was demonstrated that the AE time series associated with particle-laden air striking a carbon steel target could be described as the cumulation of individual particle arrival events each drawn from a statistical distribution model. The high arrival rate involved in a slurry jet poses challenges in resolving individual particle impact signatures in the AE record, and so the model has been extended in this paper to account for different particle carrier-fluids and to situations where arrivals cannot necessarily be resolved.

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“…Signal Analysis Methods to Determine Flow Regimes Hou et al (1999) studied the power spectral density of passive acoustic signals acquired from a slurry system. It was determined that spectral peaks occurred at regular frequency intervals, implying that one basic frequency component existed in the spectrum and multiple peaks were harmonics of this basic frequency component.…”

Section: Hydrotransport Flow Regime Characterization Methodsmentioning

confidence: 99%

Flow regime determination in horizontal hydrotransport using non‐intrusive acoustic probes

Albion

Briens

et al. 2008

Can J Chem Eng

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A variety of flow regimes may be observed in the hydrotransport of solids. Maintaining a consistent operation requires rapid detection of any change in flow regime. The objective of this study was to develop reliable, non-intrusive, and on-line methods for flow regime detection in a hydrotransport pipe based on acoustic measurements.Slurries were transported in a 0.05 m diameter stainless steel hydrotransport pipe. Acoustic measurements were recorded by microphones along the length of the horizontal pipe. Two flow regimes were observed: suspended solids flow and flow over settled solids. Cycle and frequency analyses of the acoustic signals provided reliable identification of these flow regimes.Plusieurs régimes d'écoulement peuventêtre observés dans le transport hydraulique des solides. Le maintien d'un fonctionnement consistant nécessite la détection rapide de tout changement dans le régime d'écoulement. L'objectif de cetteétude est de développer des méthodes fiables, non intrusives et en continu pour la détection des régimes d'écoulement dans une conduite de transport hydraulique reposant sur des mesures acoustiques. Les suspensions ontété transportées dans une conduite de transport hydraulique en acier inoxydable de 0,05 m de diamètre. Les mesures acoustiques ontété enregistrées par des microphones le long de la conduite horizontale. Deux régimes d'écoulement ontété observés : l'écoulement de solides suspendus et l'écoulement au-dessus des solides déposés. Les analyses de cycle et de fréquence des signaux acoustiques fournissent une identification fiable de ces régimes d'écoulement.

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Acoustic monitoring of pipeline flows: particulate slurries

Cited by 40 publications

References 7 publications

Monitoring acoustic emission (AE) energy of abrasive particle impacts in a slurry flow loop using a statistical distribution model

Monitoring acoustic emission (AE) energy of abrasive particle impacts in a slurry flow loop using a statistical distribution model

Monitoring acoustic emission (AE) energy in slurry impingement using a new model for particle impact

Flow regime determination in horizontal hydrotransport using non‐intrusive acoustic probes

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