Advanced Simulation of Removing Chromium from a Synthetic Wastewater by Rhamnolipidic Bioflotation Using Hybrid Neural Networks with Metaheuristic Algorithms

Advanced Simulation of Removing Chromium from a Synthetic Wastewater by Rhamnolipidic Bioflotation Using Hybrid Neural Networks with Metaheuristic Algorithms

This work aims at presenting an advanced simulation approach for a novel rhamnolipidic-based bioflotation process to remove chromium from wastewater. For this purpose, the significance of key influential operating variables including initial solution pH (2, 4, 6, 8, 10 and 12), rhamnolipid to chromi...

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Bibliographic Details
Main Authors: Hamid Khoshdast, Alireza Gholami, Ahmad Hassanzadeh, Tomasz Niedoba, Agnieszka Surowiak
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Materials
Subjects:
wastewater treatment
rhamnolipidic bioflotation
kinetics
hybrid neural network
metaheuristic algorithms
Online Access:https://www.mdpi.com/1996-1944/14/11/2880

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https://www.mdpi.com/1996-1944/14/11/2880

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