Characterizing Particle Flow by Acoustic Emission

Pecorari, Claudio

doi:10.1007/s10921-012-0163-7

Cited by 23 publications

(12 citation statements)

References 10 publications

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“…In some (Uher and Benes, 2012;Pecorari, 2013), the values of these exponents have been estimated since experimental conditions were designed to fit the rather restrictive constraints under which Hertz contact theory can be considered as a rigorous theoretical framework. absolute value of amplitude), and α 1 , β 1 , α 2 and β 2 are real exponents.…”

Section: Impact Signal Processingmentioning

confidence: 99%

“…absolute value of amplitude), and α 1 , β 1 , α 2 and β 2 are real exponents. In some acoustic emission studies (Uher and Benes, 2012;Pecorari, 2013), the values of these exponents have been estimated since experimental conditions were designed to fit the rather restrictive constraints under which Hertz contact theory can be considered as a rigorous theoretical framework. However, this theory is of course a strong simplification (e.g.…”

Section: Impact Signal Processingmentioning

confidence: 99%

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An advanced signal processing technique for deriving grain size information of bedload transport from impact plate vibration measurements

Barrière

Krein²,

Oth

et al. 2015

Earth Surf Processes Landf

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A reliable characterization of bedload transport is required to gauge the engineering and theoretical issues related to the dynamics of sediments transport in rivers. However, while significant advances have been made in the development of monitoring techniques, robust quantitative predictive relationships have proven difficult to derive. In this article, we develop a dedicated signal processing technique aimed at improving the usage of impact plate measurements for material transport characterization. Our set‐up consists of a piezoelectric hydrophone mounted on the bottom side of a stainless steel plate, thus acting as a ‘sediment vibration sensor’. While the classical analysis with such systems is usually limited to rather simple procedures, such as impact counting, a large amount of useful information is contained in the actual waveform of the impact signal, which conveys the force and the contact time that the bedload imposes on the plate. An advanced signal processing technique called ‘first arrival atomic decomposition’ is used to improve the characterization of bedload transport by analysing the amplitude and frequency attributes of each single impact. This new processing approach proves to be well suited for bedload transport monitoring using plate systems and allows us to establish a relationship between the median grain size (D50) and the impact signal properties. This link is first observed and validated with controlled flume experiments and then applied to continuous impact records in a small gravel‐bed river during a flood event. The estimated D50 offers a novel possibility to observe the time‐varying grain size distribution of bedload transport. Copyright © 2014 John Wiley & Sons, Ltd.

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Section: Impact Signal Processingmentioning

confidence: 99%

Section: Impact Signal Processingmentioning

confidence: 99%

An advanced signal processing technique for deriving grain size information of bedload transport from impact plate vibration measurements

Barrière

Krein²,

Oth

et al. 2015

Earth Surf Processes Landf

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“…The frequency of the self‐generated noise produced by particle intercollisions decreases with increasing particle size [ Thorne , ; Belleudy et al ., ]. This was also found for the frequency generated by particles colliding onto impact plates [ Etter , ; Bogen and Møen , ; Møen et al ., ; Pecorari , ; Barrière et al ., ]. These empirically derived particle‐size‐frequency relations are supported by a theoretical framework of rigid body radiation [ Thorne , ], and it is interesting that different bed load surrogate monitoring devices produce similar frequency responses [ Rickenmann , ].…”

Section: Introductionmentioning

confidence: 99%

“…However, their model was based on a multivariate partial least square regression, hindering the identification of the effect that each variable has independently. In the context of industrial applications, Pecorari [] measured an increase in average power of the acoustic signal with increasing

Q_{s}

of solid particles impinging on a flat metal plate. Using a similar setup, Uher and Benes [] observed that the velocity at which particles collide has no relevant effect on the shape of the frequency spectrum, but it affects the general energy of the signal, which is in agreement with the Hertz theory.…”

Section: Introductionmentioning

confidence: 99%

Laboratory flume experiments with the Swiss plate geophone bed load monitoring system: 1. Impulse counts and particle size identification

et al. 2016

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We performed systematic flume experiments using natural bed load particles to quantify the effect of different parameters on the signal registered by the Swiss plate geophone, a bed load surrogate monitoring system. It was observed that the number of impulses computed from the raw signal clearly depends on bed particle size, mean flow velocity, bed roughness, and to a minor extent on particle shape. The centroid frequency of the signal resulting from the collision of a bed load particle against the geophone plate was found to be inversely related to particle size but to be less sensitive to variations in mean flow velocity and bed roughness than the signal amplitude, which is also related to particle size. Combining frequency and amplitude information resulted in a more robust identification of the transported particles size over a wide range of sizes than using amplitude information alone.

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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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Characterizing Particle Flow by Acoustic Emission

Cited by 23 publications

References 10 publications

An advanced signal processing technique for deriving grain size information of bedload transport from impact plate vibration measurements

An advanced signal processing technique for deriving grain size information of bedload transport from impact plate vibration measurements

Laboratory flume experiments with the Swiss plate geophone bed load monitoring system: 1. Impulse counts and particle size identification

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

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