Modeling of flux decline in crossflow microfiltration using neural networks: the case of phosphate removal

By C. Aydiner, Ibrahim Demir, Ergun Yildiz. 2005

82 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Renewable Energy, Sustainability and the Environment, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/66d8bc49e396a256f38312c04d66f2cb7bd62eca

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1. Himan Nourbakhsh
2. Mahmoud Omid
3. H. Mirsaeedghazi
4. Z. Emam-djomeh
5. S. Moini

Citations in the corpus

• Prediction of red plum juice permeate flux during membrane processing with ANN optimized using RSM (2014, background): “High permeate flux is desirable in a membrane filtration and the value of flux is a function of time and depends strongly on the various process variables such as trans-membrane pressure (TMP), cross-flow velocity, membrane pore size, temperature and physico-chemical properties of feed (Aydiner et a”