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Wireless Networks
Erschienen in: Wireless Networks 8/2020

04.06.2019

Determining optimum carob powder adsorbtion for cleaning wastewater: intelligent optimization with electro-search algorithm

verfasst von: Bahdisen Gezer, Utku Kose, Dmytro Zubov, Omer Deperlioglu, Pandian Vasant

Erschienen in: Wireless Networks | Ausgabe 8/2020

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Abstract

In this study, effective and fast removal efficiency of carob powder (as an absorbent material from liquid phase) was investigated by focusing on the dangerous paint methylene blue mixture. The surface texture developed adsorbent was revealed to be porous by characterizing done thanks to scanning through electron microscope. Experiment parameters of pH, ultrasonic frequency, particle size, contact time, temperature and initial concentration of dissolved methylene blue dye were investigated accordingly. Thereafter, Box–Behnken design experiment was applied for adsorption experiments. Regression analysis findings demonstrated that the experimental data is good for to the non-linear model with correlation coefficients of correction value at 0.8899 and 0.9830. The maximum adsorption value was determined as around 256.44 mg/g thanks to the Electro-Search Algorithm, a recent Artificial Intelligence based intelligent optimization technique. Additionally, some alternative intelligent optimization algorithms were also used for determining optimum values. According to the results of the study, the carob bean can be used as an alternative adsorbent and the found optimum values can be employed for that purpose.
Vorheriger Artikel LINDASearch: a faceted search system for linked open datasets
Nächster Artikel Compress sensing algorithm for estimation of signals in sensor networks

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Metadaten
Titel
Determining optimum carob powder adsorbtion for cleaning wastewater: intelligent optimization with electro-search algorithm
verfasst von
Bahdisen Gezer
Utku Kose
Dmytro Zubov
Omer Deperlioglu
Pandian Vasant
Publikationsdatum
04.06.2019
Verlag
Springer US
Erschienen in
Wireless Networks / Ausgabe 8/2020
Print ISSN: 1022-0038
Elektronische ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-019-02035-1

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