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Introduction
Published in Enrique Ortega-Rivas, Unit Operations of Particulate Solids, 2016
Particle characterization, that is, description of primary properties of powders in a particulate system, underlies all work in particle technology. Primary particle properties such as particle shape and particle density, together with the primary properties of a fluid (viscosity and density), and also with the concentration and state of dispersion, govern the secondary properties such as settling velocity of particles, rehydration rate of powders, resistance of filter cakes, and so on. It could be argued that it is simpler, and more reliable, to measure the secondary properties directly without reference to the primary ones. Direct measurement of secondary properties can be done in practice, but the ultimate aim is to predict them from the primary ones, as when determining pipe resistance to flow from known relationships, feeding in data from primary properties of a given liquid (viscosity and density), as well as properties of a pipeline (roughness). As many relationships in powder technology are rather complex and often not yet available in many areas, particle properties are mainly used for qualitative assessment of the behavior of suspensions and powders, for example, as an equipment selection guide.
An Overview of Particle Technology
Published in Shintaro Furusaki, John Garside, L.S. Fan, The Expanding World of Chemical Engineering, 2019
The term “classification” is associated with the organization of particles by the size alone (Beddow 1980; Heiskanen 1993). The measurement of particle size and size distribution is fundamental and plays an extremely important role in the field of particle technology. For this purpose, there are a number of techniques and devices available (Allen 1990; Davies 1997), the selection of which depends on the application. There is an entire enterprise involved with the development of instruments capable of measuring particle properties, of which size is a fundamental constituent. The problem of making sensible comparisons between measurements obtained by various devices remains a subject of discussion (Lieberman 1999).
Estimation of bivariate probability distributions of nanoparticle characteristics, based on univariate measurements
Published in Inverse Problems in Science and Engineering, 2021
Orkun Furat, Uwe Frank, Matthias Weber, Simon Wawra, Wolfgang Peukert, Volker Schmidt
Particle technology faces the development of particle systems of ever increasing complexity in terms of disperse properties like their size, shape and composition. Multidimensional particle size distributions can be a powerful tool to describe these particle ensembles. However, apart from a few examples, measurement techniques providing this multidimensional information are missing [9, 38]. Therefore, we introduced a general approach to reconstruct multidimensional property distributions. Exemplarily, the combination of independently measured univariate mass and sedimentation coefficient distributions allows the reconstruction of the bivariate size distribution of gold nanorods. This is possible as the different univariate measurements are results of the same underlying multivariate probability distribution of the particle system. The performance of the reconstruction is evaluated via comparison to the original bivariate size distribution. A forthcoming study will focus on the mathematical details, e.g. uniqueness and stability of the solution, and the experimental realization of the technique for different particle systems and sets of measurement techniques.