Sedimentation image analysis (SIA) for the simultaneous determination of particle mass density and particle size

Hubner T, Will S, Leipertz A (2001)


Publication Language: English

Publication Status: Published

Publication Type: Journal article

Publication year: 2001

Journal

Publisher: Wiley-VCH Verlag

Book Volume: 18

Pages Range: 70-78

Journal Issue: 2

DOI: 10.1002/1521-4117(200107)18:2<70::AID-PPSC70>3.0.CO;2-P

Abstract

A new method for the simultaneous determination of the distribution of particle mass density and the distribution of particle size with a technique with only a single measurement is presented. The basic idea of the new optical method is the analysis of gravitational particle settling by a digital image acquisition system. Individual particles illuminated by a laser light sheet are tracked by a continuously operating CCD camera. The projected area, shape factors and the centre of gravity are detected during the sedimentation process from a series of images with a constant time spread. As the algorithm is based on single particle tracking, the heterogeneity of the sample can be taken into account. From these measured particle characteristics, particle size and settling rate are calculated. Thus particle mass density is obtained taking into account also the influence of particle shape on the settling process. This method, which we name sedimentation image analysis (SIA), is particularly suitable for the characterization of heterogeneous material, e.g. soil, in the micrometer range.

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How to cite

APA:

Hubner, T., Will, S., & Leipertz, A. (2001). Sedimentation image analysis (SIA) for the simultaneous determination of particle mass density and particle size. Particle & Particle Systems Characterization, 18(2), 70-78. https://dx.doi.org/10.1002/1521-4117(200107)18:2<70::AID-PPSC70>3.0.CO;2-P

MLA:

Hubner, Thomas, Stefan Will, and Alfred Leipertz. "Sedimentation image analysis (SIA) for the simultaneous determination of particle mass density and particle size." Particle & Particle Systems Characterization 18.2 (2001): 70-78.

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