Abstract:Abstract-Measurements of the frequency dependence of ultrasonic attenuation can be used as the basis for the estimation of particle size distributions (PSDs) in solid-in-liquid suspensions. The method requires matching the attenuation simulated by a candidate PSD in combination with a wave propagation model to the measured function in a fitting procedure. Uncertainty in the type of candidate PSD, whether based on fractional volume or fractional number of the dispersed particles, can cause errors in the overall… Show more
“…Whilst for many materials these data are available from standard handbooks, 6,7 there remain many materials for which such data are either not known or are too costly or too dangerous to measure. In a recent publication, 8 we have challenged the assumption that all of the 14 inputs to the ECAH model are required to be known accurately; we demonstrated that the wave attenuation is relatively insensitive to all of the physical constants except the density of both phases, although it is that of the solid phase which is generally unknown. There is also uncertainty as to what is the effective viscosity of the continuous phase surrounding the particles due to interactions between mode-converted evanescent shear waves scattered from suspended particles in proximity.…”
Section: Introductionmentioning
confidence: 94%
“…We have investigated the effect of uncertainty in parameter values for silica suspensions in Ref. 8 and here we repeat the exercise for Versamag. The ultrasonic attenuation at 10 MHz in a 6.54% v/v aqueous suspension of Versamag was simulated using the extended ECAH model and the physical properties given in Table I.…”
Estimates of particle size distributions (PSDs) in solid-in-liquid suspensions can be made on the basis of measurements of ultrasonic wave attenuation combined with a mathematical propagation model, which typically requires seven physical parameters to describe each phase of the mixture. The estimation process is insensitive to all of these except the density of the solid particles, which may not be known or difficult to measure. This paper proposes that an unknown density value is incorporated into the sizing computation as a free variable. It is shown that this leads to an accurate estimate of PSD, as well as the unknown density.
“…Whilst for many materials these data are available from standard handbooks, 6,7 there remain many materials for which such data are either not known or are too costly or too dangerous to measure. In a recent publication, 8 we have challenged the assumption that all of the 14 inputs to the ECAH model are required to be known accurately; we demonstrated that the wave attenuation is relatively insensitive to all of the physical constants except the density of both phases, although it is that of the solid phase which is generally unknown. There is also uncertainty as to what is the effective viscosity of the continuous phase surrounding the particles due to interactions between mode-converted evanescent shear waves scattered from suspended particles in proximity.…”
Section: Introductionmentioning
confidence: 94%
“…We have investigated the effect of uncertainty in parameter values for silica suspensions in Ref. 8 and here we repeat the exercise for Versamag. The ultrasonic attenuation at 10 MHz in a 6.54% v/v aqueous suspension of Versamag was simulated using the extended ECAH model and the physical properties given in Table I.…”
Estimates of particle size distributions (PSDs) in solid-in-liquid suspensions can be made on the basis of measurements of ultrasonic wave attenuation combined with a mathematical propagation model, which typically requires seven physical parameters to describe each phase of the mixture. The estimation process is insensitive to all of these except the density of the solid particles, which may not be known or difficult to measure. This paper proposes that an unknown density value is incorporated into the sizing computation as a free variable. It is shown that this leads to an accurate estimate of PSD, as well as the unknown density.
“…The ultrasonic attenuation technology obtains PSD based on the volume, which should be converted into a number-based one first and compared with PPSD from microscopic images. For a lognormal PSD, the conversion is much simpler, as it just moves the volume-based curve to the left as follows: lnd 50,0 = lnd 50,3 − 3(lnσ) 2 where d 50,3 and d 50,0 are the volume-based and number-based median diameters, respectively [21].…”
Particle size distribution (PSD) of wide-distributed carbonyl iron powder (CIP) particles in concentrated suspensions was measured by the ultrasonic attenuation technology, with the purpose to analyze their dispersion behaviors. And their zeta potential was measured with the electroacoustic technology. During measuring PSD of these particles with primary size ranging from about 100 nm to 10 μm, both visco-inertial and scattering mechanisms were considered. It was found that there appeared opposite evolution of PSD curves for nano-scale particles and micro-particles, namely, d01 increased but d99 decreased when the concentration increased from 15 wt% to 35 wt%, while the trend was reverse when the concentration increased from 35 wt% to 75 wt%. It meant that small particles and large particles had opposite dispersion behaviors when the concentration changed. And zeta potential of the particles was negative, with absolute values not higher than 22 mV, while particle concentration and carrier liquids had some influences. This opposite evolution was found firstly in measuring PSD in concentrated suspensions, where non-DLVO (Derjaguin, Landau, Verwey, and Overbeek) interactions could markedly influenced dispersion behaviors of the wide-distributed CIP particles. And it might bring forward some challenges to disperse these particles fully for some advanced applications.
“…[31]. Applications of effective theories in such random media may range from ultrasonic characterization of suspensions [39] to metamaterials design [40], even for aqueous suspensions, where the shear waves in an even slightly viscous fluid can be of noticeable influence in attenuation measurements for example [41]. This paper is organized as follows: Section 2 deals with the description of the host medium that contains a random distribution of spheres.…”
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