ONE-DIMENSIONAL DIFFUSION EQUATION FOR THE PARTICLE SIZE DISTRIBUTION OF PERLITE FILTER GRANULATION

被引:3
|
作者
Tomantschger, Kurt [1 ,2 ]
Petrovic, Dragan V. [3 ]
Radojevic, Rade L. [3 ]
Golubovic, Zorana Z. [4 ]
Tadic, Vjekoslav [5 ]
机构
[1] Graz Univ Technol, Inst Math A, Steyrergasse 30, A-8010 Graz, Austria
[2] Rechbauer Str 12, A-8010 Gratz, Austria
[3] Univ Belgrade, Fac Agr, Nemanjina 6, Zemun 11080, Serbia
[4] Univ Belgrade, Fac Mech Engn, Kraljice Marije 16, Belgrade 11120 35, Serbia
[5] JJ Strossmayer Univ Osijek, Fac Agr, Kralja Petra Svacica 1 D, Osijek 31000, Croatia
来源
TEHNICKI VJESNIK-TECHNICAL GAZETTE | 2017年 / 24卷 / 03期
关键词
filter granulation; morphometric method; partial differential equation; particle size distribution; perlite; CHITOSAN-COATED PERLITE; LOCAL MOROCCAN PERLITE; ADSORPTION; MEMBRANE;
D O I
10.17559/TV-20151202204533
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Many filtration systems employing perlite granulations have been designed so far. Size distribution of perlite particles directly influences the retention properties of filter media. The information on the size distribution of perlite particles, used in each specific dead-end filtration process (the flow of fluid being filtered is perpendicular to the surface of filter medium), is crucial for the adequate design of filter medium. In order to facilitate the design of filter systems possessing filter media of this kind, a new and particular mathematical model has been developed for this present study. It is based on an appropriate partial differential equation and additional mathematical conditions, whose solution is an exponential function describing the probability density distribution of perlite particle sizes. The formulated model was experimentally verified by measuring the particle sizes of a perlite granulation using the morphometric method, based on the application of a standard light microscope and digital image analysis software. The fitting procedure of experimental data gave acceptable values of accuracy parameters - high R-square factor (R-2 = 0,905) and small value of the root-mean square error (MSE = 0,490).
引用
收藏
页码:943 / 948
页数:6
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