A new method for the reconstruction of the particle radius distribution function from the sedimentation curve

Authors
Citation
Kv. Parchevsky, A new method for the reconstruction of the particle radius distribution function from the sedimentation curve, CHEM ENGN J, 80(1-3), 2000, pp. 73-79
Citations number
9
Categorie Soggetti
Chemical Engineering
Journal title
CHEMICAL ENGINEERING JOURNAL
ISSN journal
13858947 → ACNP
Volume
80
Issue
1-3
Year of publication
2000
Pages
73 - 79
Database
ISI
SICI code
1385-8947(200012)80:1-3<73:ANMFTR>2.0.ZU;2-S
Abstract
A new method for the reconstruction of the particle radius distribution fun ction from the sedimentation curve is proposed. This method permits us to o btain a continuous smooth distribution function. Two approaches are compare d. The first approach is based on the calculation of the second derivative from the sedimentation curve. The second one is based on the solution of th e original integral equation which describes a sedimentation process. Both of these approaches can be reduced to the problem of the solution of the Fr edholm integral equation of the first kind. From the theory of integral equ ations, it is known that this problem is ill-posed. The usual methods lead to unstable solutions and we are forced to use special regularizing algorit hms. In this paper, the Tikhonov regularization method is used to stabilize the solution of the integral equation. It is shown that the accuracy of bo th methods is higher than the accuracy of the graphical method, but the app roach based on the solution of the original integral equation gives a more stable solution than that based on the derivative. The accuracy of the new method permits us to reconstruct the fine structure of the particle radius distribution function. Such an analysis cannot be carried out with the roug h bar diagram obtained from the graphical method. The new method is absolut ely indispensable in technology for controlling the degree of powder finene ss. (C) 2000 Elsevier Science B.V. All rights reserved.