Genetic Algorithm Based Nonlinear Optimization of Adsorption Processes

In this study, for different adsorption processes, nonlinear isotherm, kinetic model and thermodynamic parameters were calculated using genetic algorithm-based optimization method. Nonlinear equations were directly used as the model parameters can change to give false results when they are transform...

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Autores principales:	Dilek ÖZMEN, Gülşen FİKİR
Formato:	article
Lenguaje:	EN
Publicado:	Turkish Chemical Society 2021
Materias:	adsorption genetic algorithm isotherms kinetics thermodynamics Chemical engineering TP155-156
Acceso en línea:	https://doaj.org/article/fa65c68502ea450d874999db2a168d7c
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spelling	oai:doaj.org-article:fa65c68502ea450d874999db2a168d7c2021-12-05T13:50:26Z Genetic Algorithm Based Nonlinear Optimization of Adsorption Processes 2564-6907https://doaj.org/article/fa65c68502ea450d874999db2a168d7c2021-11-01T00:00:00Zhttps://dergipark.org.tr/tr/pub/jotcsb/issue/64185/1009029https://doaj.org/toc/2564-6907In this study, for different adsorption processes, nonlinear isotherm, kinetic model and thermodynamic parameters were calculated using genetic algorithm-based optimization method. Nonlinear equations were directly used as the model parameters can change to give false results when they are transformed to linear forms. Fifteen isotherms and two kinetic models were considered. All the experimental data was taken from the literature. Methylene green, thiram, and phenol red were used as the adsorbates and silica gel and chemically activated coal mining waste with potassium carbonate (K2CO3) or zinc chloride (ZnCl2) were used as the adsorbents. For three different temperatures, the Root Mean Square Error (RMSE) values were obtained between calculated and the experimental data. The biggest RMSE values were obtained as 5.23 x 10-1 for Freundlich isotherm at 45 °C and the smallest RMSE value was obtained as 3.19 x 10-4 for Halsey isotherm at 35°C. For the kinetic study, Lagergren and Particle Internal Diffusion models were applied to the experimental data for three different initial concentrations and it was shown that Lagergren pseudo-first-order Kinetic Model fits better to experimental data. Thermodynamic calculations were made for two different initial pH values and four different temperatures. The Arrhenius factor (A) and Arrhenius activation energies (Ea) (kJ/mol) were also calculated.Dilek ÖZMENGülşen FİKİRTurkish Chemical Societyarticleadsorptiongenetic algorithmisothermskineticsthermodynamicsChemical engineeringTP155-156ENJournal of the Turkish Chemical Society Section B: Chemical Engineering, Vol 4, Iss 2, Pp 47-56 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	adsorption genetic algorithm isotherms kinetics thermodynamics Chemical engineering TP155-156
spellingShingle	adsorption genetic algorithm isotherms kinetics thermodynamics Chemical engineering TP155-156 Dilek ÖZMEN Gülşen FİKİR Genetic Algorithm Based Nonlinear Optimization of Adsorption Processes
description	In this study, for different adsorption processes, nonlinear isotherm, kinetic model and thermodynamic parameters were calculated using genetic algorithm-based optimization method. Nonlinear equations were directly used as the model parameters can change to give false results when they are transformed to linear forms. Fifteen isotherms and two kinetic models were considered. All the experimental data was taken from the literature. Methylene green, thiram, and phenol red were used as the adsorbates and silica gel and chemically activated coal mining waste with potassium carbonate (K2CO3) or zinc chloride (ZnCl2) were used as the adsorbents. For three different temperatures, the Root Mean Square Error (RMSE) values were obtained between calculated and the experimental data. The biggest RMSE values were obtained as 5.23 x 10-1 for Freundlich isotherm at 45 °C and the smallest RMSE value was obtained as 3.19 x 10-4 for Halsey isotherm at 35°C. For the kinetic study, Lagergren and Particle Internal Diffusion models were applied to the experimental data for three different initial concentrations and it was shown that Lagergren pseudo-first-order Kinetic Model fits better to experimental data. Thermodynamic calculations were made for two different initial pH values and four different temperatures. The Arrhenius factor (A) and Arrhenius activation energies (Ea) (kJ/mol) were also calculated.
format	article
author	Dilek ÖZMEN Gülşen FİKİR
author_facet	Dilek ÖZMEN Gülşen FİKİR
author_sort	Dilek ÖZMEN
title	Genetic Algorithm Based Nonlinear Optimization of Adsorption Processes
title_short	Genetic Algorithm Based Nonlinear Optimization of Adsorption Processes
title_full	Genetic Algorithm Based Nonlinear Optimization of Adsorption Processes
title_fullStr	Genetic Algorithm Based Nonlinear Optimization of Adsorption Processes
title_full_unstemmed	Genetic Algorithm Based Nonlinear Optimization of Adsorption Processes
title_sort	genetic algorithm based nonlinear optimization of adsorption processes
publisher	Turkish Chemical Society
publishDate	2021
url	https://doaj.org/article/fa65c68502ea450d874999db2a168d7c
work_keys_str_mv	AT dilekozmen geneticalgorithmbasednonlinearoptimizationofadsorptionprocesses AT gulsenfikir geneticalgorithmbasednonlinearoptimizationofadsorptionprocesses
_version_	1718371936584597504

Genetic Algorithm Based Nonlinear Optimization of Adsorption Processes

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