Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/1426
Title: Modeling and Optimization of Hexavalent Chromium Sorption onto Amberjet 1200H by Using Multiple-Linear Regression
Authors: Tümer, Abdullah Erdal
Edebali, Serpil
Keywords: Mlr Method
Modeling
Optimization
Removal Efficiency
Sorption
Ion-Exchange-Resins
Adsorption
Removal
Cr(Iii)
Water
Coefficients
Prediction
Mlr
Issue Date: 2018
Publisher: IEEE
Abstract: In this study, multiple-linear regression (MLR) model was used to predict the efficiency of two commercial resins, Amberjet 1200H and Diaion CR11, used for the removal of Cr (III) from aqueous solutions. The effects of descriptors used in the experiments (pH, amount of resin, temperature, contact time and concentration) on the removal were investigated with 36 different laboratory studies. The removal efficiency was calculated. Two regression models were developed with MLR analysis which is used to describe the effects of experiment parameters. The performances of both models developed to determine the removal efficiency of these sorption systems were found satisfactory. Statistical results indicated that Amberjet 1200H was more effective than Diaion CR11 for the removal of Cr(III).
Description: 14th Symposium on Neural Networks and Applications (NEUREL) -- NOV 20-21, 2018 -- Belgrade, SERBIA
URI: https://hdl.handle.net/20.500.13091/1426
ISBN: 978-1-5386-6974-7
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections

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