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- Title
Studies on the removal of manganese from synthetic wastewaters by nanofiltration- a parametric and modeling study.
- Authors
Patil, Deepti S.; Oubagaranadin, John U. Kennedy; Chavan, Sanjay M.
- Abstract
Due to the current environmental legislations, treatment of the industrial wastewater containing heavy metals is a problem of critical significance. Among the heavy metals, manganese is a very common contaminant of the industrial wastewater. In the present work, removal of manganese from the synthetic industrial wastewater was studied using the commercially available hydrophilized polyamide (HPA-400) nanofiltration membrane in the spiral wound module. The feed concentration (20-100 mg/L), the transmembrane pressure (TMP) (5-9 bar), and the feed flow rate (0.713-1.050 L/min) were used as the operating parameters to explore the influence on the membrane performance. It was found that the observed rejection of manganese increased with the increase in the initial feed concentration, the transmembrane pressure, and the feed flow rate. Experiments were carried out using Taguchi design of experiments(DOEs) method. The statistical analyses of the experimental results in terms of the signal-to-noise ratio (S/N ratio) and the analysis of variance (ANOVA) showed that the feed concentration was the most significant factor affecting the rejection of metal, followed by the transmembrane pressure and then the feed flow rate. The highest observed rejection of manganese was found to be 92.58% for the initial feed concentration of 100 mg/L, the transmembrane pressure of 9 bar and the feed flow rate of 1.050 LPM. The statistical model was developed and validated using the experimental data. For theoretical modeling study, the well-known combined-filmtheory-Spiegler-Kedem model (CFSK) was used to estimate the membrane transport parameters. The Sherwood correlation was also developed for the spiral wound membrane module under the studies. Furthermore, the enrichment factors, concentration polarization modulus, as well as Peclet numbers were computed.
- Subjects
PARAMETRIC modeling; MANGANESE; INDUSTRIAL wastes; SEWAGE; HEAVY metals; REVERSE osmosis
- Publication
Desalination & Water Treatment, 2017, Vol 88, p93
- ISSN
1944-3994
- Publication type
Article
- DOI
10.5004/dwt.2017.21396