Empirical modeling of turbidity removal in a dissolved air flotation system: application of artificial neural networks
Dissolved air flotation (DAF) is a physical separation process that uses air microbubbles to remove suspended material dispersed in a liquid phase. Even though DAF is considered a well-established unit operation, modeling it is difficult due to the complexity of the phenomena involved, resulting in...
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| Auteurs principaux: | , , |
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| Format: | article |
| Langue: | EN |
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IWA Publishing
2021
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| Accès en ligne: | https://doaj.org/article/2ea66692b68046c6a82ca8e1d36e245c |
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