Membrane fouling in microfiltration of oil-in-water emulsions; a comparison between constant pressure blocking laws and genetic programming (GP) model
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @Article{Fouladitajar:2013:Desalination,
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author = "Amir Fouladitajar and Farzin Zokaee Ashtiani and
Ahmad Okhovat and Bahram Dabir",
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title = "Membrane fouling in microfiltration of oil-in-water
emulsions; a comparison between constant pressure
blocking laws and genetic programming (GP) model",
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journal = "Desalination",
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volume = "329",
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pages = "41--49",
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year = "2013",
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ISSN = "0011-9164",
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DOI = "doi:10.1016/j.desal.2013.09.003",
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URL = "http://www.sciencedirect.com/science/article/pii/S001191641300413X",
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keywords = "genetic algorithms, genetic programming, Membrane
fouling, Blocking laws, Oil-in-water emulsion",
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size = "41 pages",
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abstract = "Microfiltration of oil-in-water emulsion with
different concentrations and TMPs was experimentally
performed to investigate the fouling mechanisms of oil
droplets. In this work, the performance of both
blocking laws and genetic programming model was
evaluated. Four individual and five combined blocking
models were applied to determine if they would provide
acceptable fits of the experimental data. In individual
models, the best predictions were obtained by the
intermediate model and the cake model failed to provide
any fit of the experimental data in all data sets.
Although the combined models used two fitted
parameters, they did not provide better fits of the
data than individual models. The intermediate model
combined with the cake filtration model and standard
model provided the same fit as the intermediate model
alone. In addition, genetic programming as a novel
approach in membrane fouling was used to predict both
permeate flux and oil rejection. It was found that for
the studied system, the GP model not only was able to
provide better fits of experimental data, but also
predicted the oil rejection with an acceptable
accuracy. The dominant fouling mechanisms were also
identified in different operating conditions.",
- }
Genetic Programming entries for
Amir Fouladitajar
Farzin Zokaee Ashtiani
Ahmad Okhovat
Bahram Dabir
Citations