Adsorptive Characteristics of Ion in Foam Separation Techniques
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چکیده
منابع مشابه
Modeling of Chloride Ion Separation by Nanofiltration Using Machine Learning Techniques
In this work, several machine learning techniques are presented for nanofiltration modeling. According to the results, specific errors are defined. The rejection due to Nanofiltration increases with pressure but decreases with increasing the concentration of chloride ion. Methods of machine learning represent the rejection of nanofiltration as a function of concentration, pH, pressure and also ...
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A n effective adsorbent for the ethylene/ethane separation has been prepared by the dispersion of CuCl in large NaX crystals. The results from the thermo gravimetric analysis (TGA) indicate a maximal dispersion capacity of 36 wt% of CuCl for the NaX crystals. Single component isotherms of ethane and ethylene on CuCl/NaX show that the CuCl containing adsorbents are highly favourable to the olefi...
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Batch foam separation has been employed to separate Saccharomyces carlsbergensis cells from their broth without the use of any external surface-active agent. A model has been developed to predict the foamate cell concentration as well as the variation of cell concentration in the bulk liquid in the foam column as a function of time. The model assumes a linear equilibrium relation between the ce...
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چکیده ندارد.
15 صفحه اولmodeling of chloride ion separation by nanofiltration using machine learning techniques
in this work, several machine learning techniques are presented for nanofiltration modeling. according to the results, specific errors are defined. the rejection due to nanofiltration increases with pressure but decreases with increasing the concentration of chloride ion. methods of machine learning represent the rejection of nanofiltration as a function of concentration, ph, pressure and also ...
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ژورنال
عنوان ژورنال: KAGAKU KOGAKU RONBUNSHU
سال: 1976
ISSN: 0386-216X,1349-9203
DOI: 10.1252/kakoronbunshu.2.272