Abstract:The characterization of industrial slurries and emulsions has traditionally relied upon off-line measurements of particle size and shape. Recent advances in sensor technology have made it possible to implement in-line particle characterization on a number of industrial processes, including comminution, crystallization, and emulsification. This paper presents several recent applications of two in-line instruments developed in our laboratory: an ultrasonic instrument used to monitor particle size in slurries dur… Show more
“…Ultrasonic spectroscopy enables the determination of particle size distributions and concentrations in highly concentrated dispersion processes (up to 70% by volume) . The measurement method is utilized, among other things, for the process analysis and control of colloidal suspensions in milling, crystallization, and polymerization applications . A comprehensive overview of the state‐of‐the‐art and its application is given by Babick .…”
Due to the fast growing number of processes involving particulate systems, simple and robust measurement techniques which enable an inline monitoring of the particle size and their concentration are urgently required, since this ensures control but also process optimization. In this work, an inline measurement technique based on the statistical extinction method is developed that provides a process monitoring for a wide range of particulate processes, such as dispersion processes and spray processes. The method allows the determination of the mean size and concentration for particle systems with the size larger than 1 µm. For this purpose, a light beam illuminates the particle system, whereby the fluctuating light intensity due to the particle movement through the light beam is detected. The statistical fluctuation of the signal can be related to a mean particle size and a particle concentration. Since concentrated particle systems cause effects that additionally influence the signal, such as multiple scattering, approaches are needed to reduce or eliminate these effects. In this work, an approach using a spatial frequency filter is applied. The experimental investigations reveal that the effects can be significantly reduced with the spatial frequency filter.
“…Ultrasonic spectroscopy enables the determination of particle size distributions and concentrations in highly concentrated dispersion processes (up to 70% by volume) . The measurement method is utilized, among other things, for the process analysis and control of colloidal suspensions in milling, crystallization, and polymerization applications . A comprehensive overview of the state‐of‐the‐art and its application is given by Babick .…”
Due to the fast growing number of processes involving particulate systems, simple and robust measurement techniques which enable an inline monitoring of the particle size and their concentration are urgently required, since this ensures control but also process optimization. In this work, an inline measurement technique based on the statistical extinction method is developed that provides a process monitoring for a wide range of particulate processes, such as dispersion processes and spray processes. The method allows the determination of the mean size and concentration for particle systems with the size larger than 1 µm. For this purpose, a light beam illuminates the particle system, whereby the fluctuating light intensity due to the particle movement through the light beam is detected. The statistical fluctuation of the signal can be related to a mean particle size and a particle concentration. Since concentrated particle systems cause effects that additionally influence the signal, such as multiple scattering, approaches are needed to reduce or eliminate these effects. In this work, an approach using a spatial frequency filter is applied. The experimental investigations reveal that the effects can be significantly reduced with the spatial frequency filter.
“…It is to be noted here that functions of attenuation versus frequency are relatively featureless and could be approximated by polynomials of order three or less. This implies that model convergence would be difficult to obtain if the candidate PSDs were specified by more than two parameters (see Scott et al [2,3]). Current practice is to specify a log-normal distribution in particle volume fraction or number density versus particle radius; this is parameterised by a median particle size and a distribution width expressed as a standard deviation in log-space, see [1].…”
The suspended particle size distribution in slurries can, in principle, be estimated from measured ultrasonic wave attenuation across a frequency band in the 10s of MHz range. The procedure requires a computational model of wave propagation which incorporates scattering phenomena. These models fail at high particle concentrations due to hydrodynamic effects which they do not incorporate. This work seeks an effective viscosity and density for the medium surrounding the particles, which would enable the scattering model predictions to match experimental data for high solids loading. It is found that the required viscosity model has unphysical characteristics leading to the conclusion that a simple effective medium modification to the ECAH/LB is not possible. The paper confirms the successful results which can be obtained using core-shell scattering models, for smaller particles than had previously been studied, and outlines modifications to these which would permit rapid computation of sufficient stability to support fast particle sizing procedures.
“…The first approach is to avoid in-process measurement altogether, relying on laboratory data and information gleaned from pilot-plant [7]. The second method is to take limited 'spot' measurements at specific times and locations [8]. The final approach is to use some form of Industrial Process Tomography (IPT) for continuous measurements [9].…”
Mobile Underwater Sensor Networks provide an attractive solution to the problem of obtaining measurements from within liquid-based industrial processes. Most underwater vehicles are aimed at oceanographic applications and are therefore too large to be used in comparatively small processes. This paper sets out the design considerations for the development of a Micro-Autonomous Underwater Vehicle ( AUV) for use in a process environment.
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