New developments in membrane technologies used in the treatment of produced water: A review
The use of membrane technology for produced oily water treatment has become an active
area of research for both academia and industry. The search for membranes with enhanced …
area of research for both academia and industry. The search for membranes with enhanced …
[HTML][HTML] Model-based optimization approaches for pressure-driven membrane systems
Z Rizki, M Ottens - Separation and Purification Technology, 2023 - Elsevier
Membrane technology is commonly used within food, bio-and pharmaceutical processes.
Beside single-stage membranes, multi-stage membrane systems are become more popular …
Beside single-stage membranes, multi-stage membrane systems are become more popular …
Artificial neural network modeling and response surface methodology of desalination by reverse osmosis
Response surface methodology (RSM) and artificial neural network (ANN) have been used
to develop predictive models for simulation and optimization of reverse osmosis (RO) …
to develop predictive models for simulation and optimization of reverse osmosis (RO) …
Experimental investigation, modeling and optimization of membrane separation using artificial neural network and multi-objective optimization using genetic algorithm
In this work, treatment of oily wastewaters with commercial polyacrylonitrile (PAN)
ultrafiltration (UF) membranes was investigated. In order to do these experiments, the outlet …
ultrafiltration (UF) membranes was investigated. In order to do these experiments, the outlet …
Rejection and modelling of sulphate and potassium salts by nanofiltration membranes: neural network and Spiegler–Kedem model
This paper presents experimental data and modelling for three commercial nanofiltration
membranes (NF90, NF270, N30F) used to treat highly concentrated different salts solutions …
membranes (NF90, NF270, N30F) used to treat highly concentrated different salts solutions …
Predicting membrane fouling during municipal drinking water nanofiltration using artificial neural networks
GR Shetty, S Chellam - Journal of Membrane Science, 2003 - Elsevier
A robust artificial neural network (ANN) model requiring minimal training, closely predicted
membrane fouling during nanofiltration (NF) of ground and surface water. Neural networks …
membrane fouling during nanofiltration (NF) of ground and surface water. Neural networks …
Separation of lead ions from wastewater using electrodialysis: comparing mathematical and neural network modeling
This paper presents experimental data, an artificial neural network (ANN) model and a
mathematical model (MM) for a laboratory scale electrodialysis (ED) cell. The aim was to …
mathematical model (MM) for a laboratory scale electrodialysis (ED) cell. The aim was to …
Rational design of ion separation membranes
D Rall, D Menne, AM Schweidtmann, J Kamp… - Journal of Membrane …, 2019 - Elsevier
Synthetic membranes for desalination and ion separation processes are a prerequisite for
the supply of safe and sufficient drinking water as well as smart process water tailored to its …
the supply of safe and sufficient drinking water as well as smart process water tailored to its …
Neural network modeling of Pb2+ removal from wastewater using electrodialysis
Artificial neural network (ANN) was applied to predict separation percent (SP) of lead ions
from wastewater using electrodialysis (ED). The aim was to predict SP of Pb2+ as a function …
from wastewater using electrodialysis (ED). The aim was to predict SP of Pb2+ as a function …
Dynamic modelling of milk ultrafiltration by artificial neural network
Artificial neural networks (ANNs) have been used to dynamically model crossflow
ultrafiltration of milk. It aims to predict permeate flux, total hydraulic resistance and the milk …
ultrafiltration of milk. It aims to predict permeate flux, total hydraulic resistance and the milk …