Identification of minimum transport condition for sand in two-phase flow using acoustic emission technology

El-Alej, M.; Mba, David; Yan, T.; Alssayh, Muammer

doi:10.1016/j.apacoust.2013.05.003

Cited by 17 publications

(2 citation statements)

References 7 publications

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“…Sand-water two-phase flow has been studied the critical transport velocity in slurry flow [14]. El-Alej et al [15] monitor sand transport characteristics and showed a correlation between minimum transport condition and acoustic emission energy levels. El-Alej et al [16] demonstrated that acoustic emission technology is capable of detecting the presence sand particles in the two-phase flow.…”

Section: Introductionmentioning

confidence: 99%

Monitoring Solid Phase in Oil-Water-Sand Multiphase Flow in Impact Parts Based on Acoustic Emission Sensor Technology

Wang

Liu

Zhang

et al. 2017

AMM

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Oil-water-sand multiphase flow is widely used in oil production industry. The effect of real-time measurement of the solid phase in oil-water-sand multiphase flow parameters is significant in the monitoring of sand production. In order to improve the existing limitations in solid particle detection of a liquid-solid system, an acoustic emission signals amplify device for liquid-solid flow has been developed and its evaluation test is conducted indoor. Computational fluid dynamic (CFD) analysis method is applied based on the theory of multiphase flow macroscopic continuum. Research is conducted on the distribution of solid phase in oil-water-sand multiphase flows in impact parts. The characteristics of the acoustic emission signals of sand with different sizes and concentrations are also extracted under laboratory conditions. A primary measuring instrument based on acoustic emission is proposed and designed to amplify vibration caused by sand impact. Therefore, the acoustic emisson sensor is much easier to receive solid signal. CFD analysis results show that the impact parts amplified the solid signal caused by the acoustic emission in multiphase flows. The indoor experiment results showed that the sand particle size and concentration have a good correlation with the relative power spectrum amplitude of the signal. The device system can effectively detect sand with the content of more than 0.3 wt.‰ and with the size of fewer than 325 meshes. Accordingly, this method would be helpful to apply the acoustic emission technology in enhancing the solid detection for the multiphase system.

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Section: Introductionmentioning

confidence: 99%

Monitoring Solid Phase in Oil-Water-Sand Multiphase Flow in Impact Parts Based on Acoustic Emission Sensor Technology

Wang

Liu

Zhang

et al. 2017

AMM

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“…An AE signal contains useful information about the source, which may be used for process monitoring and control purposes [11]- [13]. In particulate systems, AE signals generated from particle-wall and/or particle-particle collisions have been used to monitor various industrial processes, such as crystallization [14], granulation [15], slurry flow [16], and gas-solid two-phase flow [17], [18]. There have been some preliminary investigations using the AE-based method for on-line particle sizing [19]- [22].…”

Section: Introductionmentioning

confidence: 99%

On-line Sizing of Pneumatically Conveyed Particles Through Acoustic Emission Detection and Signal Analysis

Wang

Huang

et al. 2015

IEEE Trans. Instrum. Meas.

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Accurate measurement of the particle size distribution of pneumatically conveyed pulverized fuel is critical to achieving optimal combustion efficiency and minimum pollutant emissions at coal and biomass-fired power plants. This paper presents a prototype instrumentation system for the on-line continuous measurement of particle size distribution through acoustic emission (AE) detection. The proposed method extracts particle size information from the impulsive AE signals arising from impacts of particles with a metallic waveguide protruding into the flow. The relationship between the particle size and the peak AE voltage is established through mathematical modeling of the particle impact process. Identification of the peak AE voltage is achieved with an energy-based peak detection algorithm. Experimental results obtained with glass beads demonstrate the capability of the system to discriminate particles of different sizes from the recorded AE signals. The system performs better in terms of accuracy for higher speed, lower concentration particles as the impact signals are stronger and better separated in the time domain.Index Terms-Acoustic emission (AE), Hertz theory of contact, particle size, particle size distribution, particle size measurement, particle sizing, peak detection.

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Experimental Study on Monitoring of Dike Piping Process Based on Acoustic Emission Technology

et al. 2021

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Identification of minimum transport condition for sand in two-phase flow using acoustic emission technology

Cited by 17 publications

References 7 publications

Monitoring Solid Phase in Oil-Water-Sand Multiphase Flow in Impact Parts Based on Acoustic Emission Sensor Technology

Monitoring Solid Phase in Oil-Water-Sand Multiphase Flow in Impact Parts Based on Acoustic Emission Sensor Technology

On-line Sizing of Pneumatically Conveyed Particles Through Acoustic Emission Detection and Signal Analysis

Experimental Study on Monitoring of Dike Piping Process Based on Acoustic Emission Technology

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