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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/2463
Title: Optimization of the Amount of Chemical Dosage to Improve the Performance of Dissolved Air Flotation Unit
Authors: Wadhwani R.
Mohanty, Bikash
Khanam, Shabina
Published in: Separation Science and Technology (Philadelphia)
Abstract: The present case study work is carried out on a typical steel industry in selection of the optimum amount of chemicals dosage used in DAF unit to remove oil and grease. Neural models are developed between DAF unit variables, i.e., the amount of chemical, the pH, and the amount of oil in the effluent. The amount of alum and polyelectrolyte are considered as independent whereas pH and amount of oil present in outlet stream are accounted as dependent variables. These input and output data are analyzed using ANN and GMDH method, which reduces the cost of the chemical/day-shift by 10.5% and 21.85%, respectively. © , Copyright © Taylor & Francis Group, LLC.
Citation: Separation Science and Technology (Philadelphia) (2015), 50(7): 1038-1049
URI: https://doi.org/10.1080/01496395.2014.982764
http://repository.iitr.ac.in/handle/123456789/2463
Issue Date: 2015
Publisher: Taylor and Francis Inc.
Keywords: alum
artificial neural network
dissolved air flotation
polyelectrolyte
ISSN: 1496395
Author Scopus IDs: 56611748400
57211010484
23025264900
Author Affiliations: Wadhwani, R., Department of Chemical Engineering, Indian Institute of Technology Roorkee, Roorkee, India
Mohanty, B., Department of Chemical Engineering, Indian Institute of Technology Roorkee, Roorkee, India
Khanam, S., Department of Chemical Engineering, Indian Institute of Technology Roorkee, Roorkee, India
Corresponding Author: Wadhwani, R.; Department of Chemical Engineering, Indian Institute of Technology RoorkeeIndia; email: rahul123wadhwani@gmail.com
Appears in Collections:Journal Publications [CH]

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