MODIFIED LOG-NORMAL PARTICLE-SIZE DISTRIBUTION IN ACOUSTIC SPECTROSCOPY

Citation
As. Dukhin et al., MODIFIED LOG-NORMAL PARTICLE-SIZE DISTRIBUTION IN ACOUSTIC SPECTROSCOPY, Colloids and surfaces. A, Physicochemical and engineering aspects, 138(1), 1998, pp. 1-9
Citations number
12
Categorie Soggetti
Chemistry Physical
ISSN journal
09277757
Volume
138
Issue
1
Year of publication
1998
Pages
1 - 9
Database
ISI
SICI code
0927-7757(1998)138:1<1:MLPDIA>2.0.ZU;2-N
Abstract
The modified log-normal distribution is a smooth continuous distributi on depending on four parameters: median size, standard deviation, mini mum size and maximum size, This distribution introduced by Kottler [J. Franklin Inst. 250 (1950) 339] and Irani [J. Phys. Chem, 63 (1959) 16 03] gives an opportunity to restrict the particle size range. This dis tribution is asymmetrical on the logarithmic scale of particle sizes. The modified log-normal distribution is especially useful for acoustic spectroscopy because sound attenuation is very sensitive to the prese nce of large particles. Particles with size above 3 mu m cause signifi cant scattering losses. As a result, sound attenuation spectra show a sharp growth within a sound frequency range 10-100 MHz when large part icles are present. The high sensitivity to large particles is a very u seful feature of acoustic spectroscopy allowing one to detect these pa rticles. This feature requires a special approach allowing the charact erization of large particles with a high accuracy. Regular log-normal distribution tends to overestimate the fraction of large particles and underestimate the median size. Experimental tests have been performed with silicon particles dispersed in water. The particle size distribu tion has been measured independently by X-ray sedimentation and by an acoustic spectrometer. This test shows that the lognormal distribution provided by the acoustic spectrometer deviates from the sedimentation data. Implementation of the modified log-normal distribution resolves this discrepancy. (C) 1998 Elsevier Science B.V.