Teilchengrößenanalyse. 1. Darstellung und Auswertung von Teilchengrößenverteilungen

Leschonski, Kurt; Alex, W.; Koglin, Bernd

doi:10.1002/cite.330460105

Cited by 45 publications

(8 citation statements)

References 2 publications

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“…The second requirement was implicitly assumed in the transformation equations given in Eq. (7). We note that the first requirement is actually a special case of the second requirement with t = y.…”

Section: Consistency Requirementsmentioning

confidence: 91%

The Physically Relevant Parameter Space of the Nukiyama‐Tanasawa distribution function

Paloposki¹

1991

Part & Part Syst Charact

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Section: Consistency Requirementsmentioning

confidence: 91%

The Physically Relevant Parameter Space of the Nukiyama‐Tanasawa distribution function

Paloposki¹

1991

Part & Part Syst Charact

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“…The number-weighted particle size distribution is obtained from the volume-weighted distribution by the method of moment-notation, as described in (Leschonski et al, 1974), (ISO 9276-2:2014). It is straightforward if the volume-weighted particle size distribution is correct and the particles are spherical.…”

Section: Number-weighted Size Distributionmentioning

confidence: 99%

Comprehensive Characterization of Nano- and Microparticles by In-Situ Visualization of Particle Movement Using Advanced Sedimentation Techniques

Lerche¹

2019

KONA

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The state of a suspension is crucial with regard to processing pathways, functionality and performance of the end product. In the past decade, substantial progress has been made in designing highly specialized and functionalized particles. In current particle technology, besides classic particle properties such as particle size distribution, shape and density, surface properties play an essential role for processing, product specification and use. For example, in medical therapy, analytical diagnostic applications, as well as in separation processing and harvesting of high-valued materials, magnetic micro-and nanoparticles play an increasing role. In addition to traditional parameters such as size, the particle magnetization has to be quantified here. Sedimentation techniques have been used for hundreds of years to determine the geometrical characteristics of dispersed particles. Numerous national and international standards regarding these techniques have been published. Mainly due to the fast growing market share of laser scattering techniques over the past two decades, most customers these days are not aware of some advantageous features of particle characterization via a firstprinciple fractionating approach such as sedimentation. This is unfortunate as sedimentation techniques have made huge technological leaps forward regarding electronics, sensors and computing abilities. This paper aims to give a short review about different cumulative and incremental sedimentation approaches to measure the particle size distribution. It focuses mainly on the in-situ visualization (STEP-Technology ® ) of particle migration in gravitational and centrifugal fields. It describes the basics of the new multi-sample measuring approaches to quantify the separation kinetics by spatial and time-resolved particle concentration over the entire sample height. Based on these data, the sedimentation velocity and particle size distribution are elucidated and estimates of accuracy, precision and experimental uncertainties are discussed. Multi-wavelength approaches, correction of higher concentration, and the influence of rheological behavior of continuous phase will also be discussed. Applications beyond the traditional scope of sedimentation analysis are presented. This concerns the in-situ determination of hydrodynamic particle density and of magnetophoretic velocity distributions for magnetic particulate objects.

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“…It has been proved that too large particle size number (>4) leads to a significant increase in the calculation time, whereas the simulation accuracy increases only moderately (because of more detailed calculation of the radiation-absorption coefficient and single char oxidation rates) [55]. For this reason, particle size classes from C1 to C4 for the biomass and coal particle were derived from the particle size distribution according to the RosineRammler distribution function [58,59]. As previously described, this model assumes thermodynamic and fluid-dynamic equilibrium between the gas and particle phase.…”

Section: Particle Size Classesmentioning

confidence: 99%

3-D numerical simulation for co-firing of torrefied biomass in a pulverized-fired 1 MWth combustion chamber

Stroh

Alobaid

Busch

et al. 2015

Energy

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Teilchengrößenanalyse. 1. Darstellung und Auswertung von Teilchengrößenverteilungen

Cited by 45 publications

References 2 publications

The Physically Relevant Parameter Space of the Nukiyama‐Tanasawa distribution function

The Physically Relevant Parameter Space of the Nukiyama‐Tanasawa distribution function

Comprehensive Characterization of Nano- and Microparticles by In-Situ Visualization of Particle Movement Using Advanced Sedimentation Techniques

3-D numerical simulation for co-firing of torrefied biomass in a pulverized-fired 1 MWth combustion chamber

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