Measurement of particle size distribution by the use of acoustic emission method

Uher, Miroslav; Beneš, Petr

doi:10.1109/i2mtc.2012.6229375

Cited by 24 publications

(15 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The characteristic frequency of the signal corresponding to a single particle impact

f_{centroid}

is less sensitive to varying

V_{W}

values than the impulse‐diameter parameter

k_{bj}

or the maximum registered packet amplitude

A_{max, normalP}

(Figures , and , respectively). This result is in agreement with observations from laboratory experiments for which no significant effect was observed on the shape of a frequency spectrum by varying the velocity of solid particles impinging on a flat plate [ Uher and Benes , ]. The decrease in centroid frequency

f_{centroid}

(Figure ) with increasing particle size is also observed for different bed load surrogate monitoring techniques [ Belleudy et al ., ; Uher and Benes , ; Barrière et al ., ] and is supported by a theoretical framework of rigid body radiation based on the Hertzian impact theory developed by Thorne [] and Rickenmann [].…”

Section: Discussionsupporting

confidence: 90%

“…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: Introductionsupporting

confidence: 61%

See 1 more Smart Citation

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

et al. 2016

View full text Add to dashboard Cite

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.

show abstract

“…The characteristic frequency of the signal corresponding to a single particle impact

f_{centroid}

is less sensitive to varying

V_{W}

values than the impulse‐diameter parameter

k_{bj}

or the maximum registered packet amplitude

A_{max, normalP}

f_{centroid}

Section: Discussionsupporting

confidence: 90%

“…In the context of industrial applications, Pecorari [] measured an increase in average power of the acoustic signal with increasing

Q_{s}

Section: Introductionsupporting

confidence: 61%

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

et al. 2016

View full text Add to dashboard Cite

show abstract

“…In view of the high signal-to-noise ratio of the recorded impact signals, we aim to improve the classical 'impact counting' processing procedure (Rickenmann et al, 2014) in order to derive more information on time-varying bedload properties. According to the Hertz contact theory and acoustic emission method literature (Tsunoda et al, 1986;Buttle and Scruby, 1990;Uher and Benes, 2012), grain size can be estimated from acoustic measurements. Hertz's theory allows for the calculation of the force time history that a round ball imposes on an elastic plate after being dropped at normal incidence (Johnson, 1985).…”

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%

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

View full text Add to dashboard Cite

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.

show abstract

“…Bastari et al [20] used a system identification technique, consisting of wavelet packet decomposition, multivariate data analysis, and neural network mapping to extract particle size information from AE signals due to coal powder impacts. Uher and Benes [21] validated experimentally the applicability of Hertz theory of contact in the on-line measurement of particle size distribution. Carson et al [22] recovered approximately the particle size distribution with a theoretical model that describes the acoustic vibrations generated from particle impacts in a stirred reactor.…”

Section: Introductionmentioning

confidence: 87%

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

Wang

Huang

et al. 2015

IEEE Trans. Instrum. Meas.

View full text Add to dashboard Cite

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.

show abstract

Measurement of particle size distribution by the use of acoustic emission method

Cited by 24 publications

References 5 publications

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

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

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

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

Contact Info

Product

Resources

About