Size distribution function of droplet in liquid-liquid mixing and bubble in gas-liquid mixing, crystal in crystallization and crushed product in crushing

Citation
K. Ogawa et al., Size distribution function of droplet in liquid-liquid mixing and bubble in gas-liquid mixing, crystal in crystallization and crushed product in crushing, J CHEM EN J, 34(5), 2001, pp. 627-633
Citations number
7
Categorie Soggetti
Chemical Engineering
Journal title
JOURNAL OF CHEMICAL ENGINEERING OF JAPAN
ISSN journal
00219592 → ACNP
Volume
34
Issue
5
Year of publication
2001
Pages
627 - 633
Database
ISI
SICI code
0021-9592(200105)34:5<627:SDFODI>2.0.ZU;2-H
Abstract
The size distribution function of particles that present as droplets in liq uid-liquid mixing, bubbles in gas-liquid mixing, crystals in crystallizatio n, and crushed materials in crushing, is examined based on consideration of the balance of the external and the internal force/energy of the particle, and from the viewpoint of information entropy. Then, a new size distributi on function (PSF), which is the product of the original size distribution f unction and the realizable probability function of the size of particles, i s presented. The same formula style as that of newly presented PSF can be d erived also by balancing the external energy calculated from the energy spe ctrum density distribution function (ESF) for the turbulent flow field and the internal force/energy of particles. Additionally, it is clarified that the size distribution of eddies in the turbulent flow can be deduced from t he same viewpoint by considering that a large eddy is segmented by external force/energy and the style of the distribution is isomorphic with that of ESF, In addition, the usefulness of newly presented PSF is clarified by fitting it to the data generated by the traditional three common unimodal PSF; Rosi n-Rammler, Normal and Log-Normal size distribution functions, The main adva ntages of the newly presented PSF are that it is defined based on a clear p hysical background and that, for all practical purposes, it can replace the three common PSF, Therefore, this newly presented PSF provides a means of presenting and comparing the different size distribution patterns in terms of a single mathematical expression.