Stochastic Comparisons of Probability Distribution Functions with Experimental Data in a Liquid-Liquid Extraction Column for Determination of Drop Size Distributions

The droplet size distribution in the column is usually represented as the average volume to surface area, known as the Sauter mean drop diameter. It is a key variable in the extraction column design. A study of the drop size distribution and Sauter-mean drop diameter for a liquid-liquid extraction c...

Full description

Saved in:
Bibliographic Details
Main Authors: Sh. Houshyar, M. Torab-Mostaedi, S. M. A. Moosavian, Seyed Hamed Mousavi, M. Asadollahzadeh
Format: Article
Language:English
Published: Iranian Association of Chemical Engineering (IAChE) 2017-08-01
Series:Iranian Journal of Chemical Engineering
Subjects:
Online Access:https://www.ijche.com/article_51453_a50fb80411a6a14df87dac7a5d1167be.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850178526290903040
author Sh. Houshyar
M. Torab-Mostaedi
S. M. A. Moosavian
Seyed Hamed Mousavi
M. Asadollahzadeh
author_facet Sh. Houshyar
M. Torab-Mostaedi
S. M. A. Moosavian
Seyed Hamed Mousavi
M. Asadollahzadeh
author_sort Sh. Houshyar
collection DOAJ
description The droplet size distribution in the column is usually represented as the average volume to surface area, known as the Sauter mean drop diameter. It is a key variable in the extraction column design. A study of the drop size distribution and Sauter-mean drop diameter for a liquid-liquid extraction column has been presented for a range of operating conditions and three different liquid-liquid systems. The effects of rotor speed, and dispersed and continuous phase velocities on drop size are investigated. Drop size distribution are appropriately described using the normal and log-normal probability density functions. The mathematical approach is used to determine the constant parameters in these functions and to provide the fit of the experimental data with them. and empirical expressions are derived to predict the parameters of the distribution curve as a function of operating variables, and physical properties of the systems. Good agreement between the prediction and experiments was achieved for all investigated operating conditions. An empirical correlation is also proposed to predict the Sauter-mean drop diameter with mean deviation of 9.8%.
format Article
id doaj-art-981b5dbd09964f00a834e2c50ff17b8d
institution OA Journals
issn 1735-5397
2008-2355
language English
publishDate 2017-08-01
publisher Iranian Association of Chemical Engineering (IAChE)
record_format Article
series Iranian Journal of Chemical Engineering
spelling doaj-art-981b5dbd09964f00a834e2c50ff17b8d2025-08-20T02:18:43ZengIranian Association of Chemical Engineering (IAChE)Iranian Journal of Chemical Engineering1735-53972008-23552017-08-01143829551453Stochastic Comparisons of Probability Distribution Functions with Experimental Data in a Liquid-Liquid Extraction Column for Determination of Drop Size DistributionsSh. Houshyar0M. Torab-Mostaedi1S. M. A. Moosavian2Seyed Hamed Mousavi3M. Asadollahzadeh4School of Chemical Engineering, Faculty of Engineering, University of Tehran, Tehran, IranMaterials and Nuclear Fuel Research School, Nuclear Science and Technology Research Institute, Tehran, IranSchool of Chemical Engineering, Faculty of Engineering, University of Tehran, Tehran, IranSchool of Chemical Engineering, Faculty of Engineering, University of Tehran, Tehran, IranMaterials and Nuclear Fuel Research School, Nuclear Science and Technology Research Institute, Tehran, IranThe droplet size distribution in the column is usually represented as the average volume to surface area, known as the Sauter mean drop diameter. It is a key variable in the extraction column design. A study of the drop size distribution and Sauter-mean drop diameter for a liquid-liquid extraction column has been presented for a range of operating conditions and three different liquid-liquid systems. The effects of rotor speed, and dispersed and continuous phase velocities on drop size are investigated. Drop size distribution are appropriately described using the normal and log-normal probability density functions. The mathematical approach is used to determine the constant parameters in these functions and to provide the fit of the experimental data with them. and empirical expressions are derived to predict the parameters of the distribution curve as a function of operating variables, and physical properties of the systems. Good agreement between the prediction and experiments was achieved for all investigated operating conditions. An empirical correlation is also proposed to predict the Sauter-mean drop diameter with mean deviation of 9.8%.https://www.ijche.com/article_51453_a50fb80411a6a14df87dac7a5d1167be.pdfliquid-liquid extraction columnsauter-mean drop diameterdrop size distributionliquid-liquid extraction
spellingShingle Sh. Houshyar
M. Torab-Mostaedi
S. M. A. Moosavian
Seyed Hamed Mousavi
M. Asadollahzadeh
Stochastic Comparisons of Probability Distribution Functions with Experimental Data in a Liquid-Liquid Extraction Column for Determination of Drop Size Distributions
Iranian Journal of Chemical Engineering
liquid-liquid extraction column
sauter-mean drop diameter
drop size distribution
liquid-liquid extraction
title Stochastic Comparisons of Probability Distribution Functions with Experimental Data in a Liquid-Liquid Extraction Column for Determination of Drop Size Distributions
title_full Stochastic Comparisons of Probability Distribution Functions with Experimental Data in a Liquid-Liquid Extraction Column for Determination of Drop Size Distributions
title_fullStr Stochastic Comparisons of Probability Distribution Functions with Experimental Data in a Liquid-Liquid Extraction Column for Determination of Drop Size Distributions
title_full_unstemmed Stochastic Comparisons of Probability Distribution Functions with Experimental Data in a Liquid-Liquid Extraction Column for Determination of Drop Size Distributions
title_short Stochastic Comparisons of Probability Distribution Functions with Experimental Data in a Liquid-Liquid Extraction Column for Determination of Drop Size Distributions
title_sort stochastic comparisons of probability distribution functions with experimental data in a liquid liquid extraction column for determination of drop size distributions
topic liquid-liquid extraction column
sauter-mean drop diameter
drop size distribution
liquid-liquid extraction
url https://www.ijche.com/article_51453_a50fb80411a6a14df87dac7a5d1167be.pdf
work_keys_str_mv AT shhoushyar stochasticcomparisonsofprobabilitydistributionfunctionswithexperimentaldatainaliquidliquidextractioncolumnfordeterminationofdropsizedistributions
AT mtorabmostaedi stochasticcomparisonsofprobabilitydistributionfunctionswithexperimentaldatainaliquidliquidextractioncolumnfordeterminationofdropsizedistributions
AT smamoosavian stochasticcomparisonsofprobabilitydistributionfunctionswithexperimentaldatainaliquidliquidextractioncolumnfordeterminationofdropsizedistributions
AT seyedhamedmousavi stochasticcomparisonsofprobabilitydistributionfunctionswithexperimentaldatainaliquidliquidextractioncolumnfordeterminationofdropsizedistributions
AT masadollahzadeh stochasticcomparisonsofprobabilitydistributionfunctionswithexperimentaldatainaliquidliquidextractioncolumnfordeterminationofdropsizedistributions