Artificial intelligence-incorporated membrane fouling prediction for membrane-based processes in the past 20 years: A critical review

C Niu, X Li, R Dai, Z Wang - Water Research, 2022 - Elsevier
Membrane fouling is one of major obstacles in the application of membrane technologies.
Accurately predicting or simulating membrane fouling behaviours is of great significance to …

Membrane fouling prediction and uncertainty analysis using machine learning: A wastewater treatment plant case study

DJ Kovacs, Z Li, BW Baetz, Y Hong, S Donnaz… - Journal of Membrane …, 2022 - Elsevier
Membrane bioreactors (MBRs) have proven to be an extremely effective wastewater
treatment process combining ultrafiltration with biological processes to produce high-quality …

A concise review of theoretical models and numerical simulations of membrane fouling

H Yang, X Yu, J Liu, Z Tang, T Huang, Z Wang… - Water, 2022 - mdpi.com
Membrane fouling can cause severe flux drops and affect the quality of produced water,
which is a major obstacle for membrane applications. Great efforts have been made to …

SVM and ANN modelling approach for the optimization of membrane permeability of a membrane rotating biological contactor for wastewater treatment

S Waqas, NY Harun, NS Sambudi, U Arshad… - Membranes, 2022 - mdpi.com
Membrane fouling significantly hinders the widespread application of membrane
technology. In the current study, a support vector machine (SVM) and artificial neural …

Membrane fouling prediction based on tent-SSA-BP

G Ling, Z Wang, Y Shi, J Wang, Y Lu, L Li - Membranes, 2022 - mdpi.com
In view of the difficulty in obtaining the membrane bioreactor (MBR) membrane flux in real
time, considering the disadvantage of the back propagation (BP) network in predicting MBR …

Automating process design by coupling genetic algorithms with commercial simulators: a case study for hybrid MABR processes

C Yang, E Belia, GT Daigger - Water Science & Technology, 2022 - iwaponline.com
The development of commercial software and simulators has progressed to assist engineers
to optimize design, operation, and control of wastewater treatment processes. Commonly …

Intelligent Warning of Membrane Fouling Based on Robust Deep Neural Network

XL Wu, HG Han, HJ Zhang, JF Qiao - International Journal of Fuzzy …, 2022 - Springer
The warning of membrane fouling is of great important to maintain the stable operation of
membrane bioreactor (MBR). However, traditional methods are so error-prone that probably …

Advanced research on polymer floating carrier application in activated sludge reactors

N Makisha - Polymers, 2022 - mdpi.com
This research estimates the efficiency of domestic wastewater treatment in the removal of
organic pollutants and nitrogen compounds with a two-stage treatment sequence (an …

Autonomous processes in particle technology

H Nirschl, M Winkler, T Sinn… - Chemie Ingenieur …, 2022 - Wiley Online Library
Battery materials, pharmaceuticals, solar cells, coffee powder, 3D printed components, etc.,
all these products have in common that they are predominantly made of particles. Ensuring …

Forecasting of production and scrap amounts using artificial neural networks

TK Polat - Emerging Materials Research, 2022 - icevirtuallibrary.com
The increase in consumer needs and the scarcity of production resources cause the concept
of 'productivity'to be essential for companies. Reducing costs is an essential factor for …