| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 7006824 | Chemical Engineering Research and Design | 2016 | 38 Pages |
Abstract
- Commercial HTI-CTA FO membrane and groundwater as feed solution was used.
- Feed-draw flow rate and feed-draw temperature were chosen as operating factors.
- Cost-effective optimum conditions were evaluated using Taguchi and ANOVA.
- Predictions were done for desired inputs by trained neural network.
- Draw solution temperature was found dominant factor in FO process.
Keywords
SOSAGMDRSFBFGSHTIECPSGMDDoFSNRICPMLPCTAANNMEUFForward osmosisReverse OsmosisUltrafiltrationMicellar-enhanced ultrafiltrationOptimizationanalysis of varianceANOVACellulose triacetateAir gap membrane distillationReverse salt fluxArtificial Neural NetworkExternal concentration polarizationInternal concentration polarizationdegree of freedomMicrofiltrationNanofiltrationSignal-to-noise ratioMultilayer perceptron
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Filtration and Separation
Authors
Pankaj M. Pardeshi, Alka A. Mungray, Arvind K. Mungray,