Results 1 to 10 of about 14,998 (281)

Prediction of Permeate Flux in Ultrafiltration Processes: A Review of Modeling Approaches [PDF]

Membranes, 2021
In any membrane filtration, the prediction of permeate flux is critical to calculate the membrane surface required, which is an essential parameter for scaling-up, equipment sizing, and cost determination.
Carolina Quezada, Humberto Estay, Alfredo Cassano, Elizabeth Troncoso, René Ruby-Figueroa   +4 more
doaj   +6 more sources

Modelling and Prediction of Permeate Flux in the Ultrafiltration Recovery of Sodium Lignosulfonate from Aqueous Solution

Acta Chimica Slovenica
Modelling and data fitting for the prediction of permeate flux during ultrafiltration (UF) of a model feed solution of sodium lignosulfonate was carried out following resistance in series, gel polarization and Kedem Katchalsky equations. The experiments
Vinay B. Patel , Haresh K. Dave, Tejal M. Patel, Kaushik Nath   +3 more
doaj   +2 more sources

Predicting kinetics of water-rich permeate flux through photocatalytic mesh under visible light illumination [PDF]

Scientific Reports, 2021
AbstractMembrane-based separation technologies are attractive to remediating unconventional water sources, including brackish, industrial, and municipal wastewater, due to their versatility and relatively high energy efficiency. However, membrane fouling by dissolved or suspended organic substances remains a primary challenge which can result in an ...
Bishwash Shrestha, Mohammadamin Ezazi, Seyed Vahid Rad, Gibum Kwon   +3 more
openaire   +3 more sources

Improved Artificial Neural Network Training Based on Response Surface Methodology for Membrane Flux Prediction

Membranes, 2022
This paper presents an improved artificial neural network (ANN) training using response surface methodology (RSM) optimization for membrane flux prediction.
Syahira Ibrahim, Norhaliza Abdul Wahab
doaj   +1 more source

Permeation Flux Prediction of Vacuum Membrane Distillation Using Hybrid Machine Learning Techniques

Membranes, 2023
Vacuum membrane distillation (VMD) has attracted increasing interest for various applications besides seawater desalination. Experimental testing of membrane technologies such as VMD on a pilot or large scale can be laborious and costly. Machine learning techniques can be a valuable tool for predicting membrane performance on such scales. In this work,
Bashar H. Ismael, Faidhalrahman Khaleel, Salah S. Ibrahim, Samraa R. Khaleel, Mohamed Khalid AlOmar, Adil Masood, Mustafa M. Aljumaily, Qusay F. Alsalhy, Siti Fatin Mohd Razali, Raed A. Al-Juboori, Mohammed Majeed Hameed, Alanood A. Alsarayreh   +11 more
openaire   +4 more sources

Optimizing Direct Contact Membrane Distillation by RSM for Water Reclamation from Effluent of the RO Unit at Esfahan Refinery [PDF]

آب و فاضلاب, 2019
Considering the challenges faced and emphases being put in the last two decades on the water consumption at Esfahan Oil Refining Company (EORC), substantial efforts were made on its optimization and recovery of effluent from various unit operations.
Mohammad Ebadi, Mohammad Mozdianfard, Majid Aliabadi   +2 more
doaj   +1 more source

Development of new pervaporation composite membranes for desalination: Membrane characterizations and experimental permeation data

Data in Brief, 2021
The data contained in this publication refers to a new approach to design composite pervaporation membranes that could be useful in water treatment.
Tarik Eljaddi, Deisy Lizeth Mejia Mendez, Eric Favre, Denis Roizard   +3 more
doaj   +1 more source

Modeling of milk ultrafiltration permeate flux under various operating conditions and physicochemical properties using Nero–Fuzzy method [PDF]

Pizhūhish va Nuāvarī dar ̒Ulūm va Sanāyi̒-i Ghaz̠āyī, 2014
In this study, an adaptive neuro-fuzzy inference system (ANFIS) used for the prediction of permeate flux as a function of the physico-chemical and operating parameters during ultrafiltration of milk.
Mahnaz Shahidi Noghabi, Seyed Mohammad Ali Razavi, Mostafa Shahidi Noghabi   +2 more
doaj   +1 more source

A Review on Membrane Fouling Prediction Using Artificial Neural Networks (ANNs)

Membranes, 2023
Membrane fouling is a major hurdle to effective pressure-driven membrane processes, such as microfiltration (MF), ultrafiltration (UF), nanofiltration (NF), and reverse osmosis (RO).
Waad H. Abuwatfa, Nour AlSawaftah, Naif Darwish, William G. Pitt, Ghaleb A. Husseini   +4 more
doaj   +1 more source

Dynamic Modeling Using Artificial Neural Network of Bacillus Velezensis Broth Cross-Flow Microfiltration Enhanced by Air-Sparging and Turbulence Promoter

Membranes, 2020
Cross-flow microfiltration is a broadly accepted technique for separation of microbial biomass after the cultivation process. However, membrane fouling emerges as the main problem affecting permeate flux decline and separation process efficiency ...
Aleksandar Jokić, Ivana Pajčin, Jovana Grahovac, Nataša Lukić, Bojana Ikonić, Nevenka Nikolić, Vanja Vlajkov   +6 more
doaj   +1 more source