Study of mean diameter and drop size distribution of emulsion drops in a modified rotating disc contactor for an emulsion liquid membrane system

RSC Advances ◽  
2015 ◽  
Vol 5 (109) ◽  
pp. 89959-89970 ◽  
Author(s):  
Lelin Zeng ◽  
Yi Zhang ◽  
Caroline Bukirwa ◽  
Wensong Li ◽  
Yunquan Yang
Keyword(s):  
Size Distribution ◽  
Drop Size ◽  
Liquid Membrane ◽  
Membrane System ◽  
Drop Size Distribution ◽  
Rotating Disc ◽  
System P ◽  
Rotating Disc Contactor ◽  
Mean Diameter ◽  
Emulsion Drops

Mean diameter and drop size distribution of emulsion drops in a modified rotating disc contactor for an emulsion liquid membrane system.

A new model for prediction of drop size distribution in a liquid–liquid extraction column

RSC Advances ◽  
2016 ◽  
Vol 6 (86) ◽  
pp. 82496-82504 ◽  
Author(s):  
Mehdi Asadollahzadeh ◽  
Meisam Torab-Mostaedi ◽  
Rezvan Torkaman ◽  
Jaber Safdari
Keyword(s):  
Size Distribution ◽  
Drop Size ◽  
Entropy Density ◽  
Liquid Extraction ◽  
Drop Size Distribution ◽  
Extraction Column ◽  
Approximation Technique ◽  
Rotating Disc ◽  
New Model ◽  
Liquid Liquid Extraction

In this study, a new model for prediction of drop size distribution is proposed in the asymmetric rotating disc pilot plant column (ARDC) by the maximum entropy density approximation technique.

scholarly journals Effect of sampling variation on error of rainfall variables measured by optical disdrometer

2012 ◽  
Vol 5 (6) ◽  
pp. 8895-8924 ◽  
Author(s):  
X. C. Liu ◽  
T. C. Gao ◽  
L. Liu
Keyword(s):  
Size Distribution ◽  
Relative Error ◽  
Drop Size ◽  
Rain Rate ◽  
Marked Point ◽  
Water Concentration ◽  
Drop Size Distribution ◽  
Short Side ◽  
Mean Diameter ◽  
Sampling Variation

Abstract. During the sampling process of precipitation particles by optical disdrometers, the randomness of particles and sampling variability has great impact on the accuracy of precipitation variables. Based on a marked point model of raindrop size distribution, the effect of sampling variation on drop size distribution and velocity distribution measurement using optical disdrometers are analyzed by Monte Carlo simulation. The results show that the samples number, rain rate, drop size distribution, and sampling size have different influences on the accuracy of rainfall variables. The relative errors of rainfall variables caused by sampling variation in a descending order as: water concentration, mean diameter, mass weighed mean diameter, mean volume diameter, radar reflectivity factor, and number density, which are independent with samples number basically; the relative error of rain variables are positively correlated with the margin probability, which is also positively correlated with the rain rate and the mean diameter of raindrops; the sampling size is one of the main factors that influence the margin probability, with the decreasing of sampling area, especially the decreasing of short side of sample size, the probability of margin raindrops is getting greater, hence the error of rain variables are getting greater, and the variables of median size raindrops have the maximum error. To ensure the relative error of rainfall variables measured by optical disdrometer less than 1%, the width of light beam should be at least 40 mm.

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