Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/7056
Title: Mass integration for recovery of zinc from galvanizing and metal finishing industry using supertargeting approach
Authors: Khanam, Shabina
Mohanty, Bikash
Keywords: Mass exchange network
Minimum composition difference
Supertargeting
Issue Date: Jul-2006
Publisher: CSIR
Series/Report no.: C22B9/00
Abstract: This paper presents an optimization technique, based on Supertargeting Approach, for the synthesis of solvent extraction and ion exchange network, which broadly falls under Mass Exchange Network (MEN). The present work is related to the recovery of zinc from spent pickle liquor and the rinse water, an effluent of galvanizing and metal finishing industry. The minimum composition difference of zinc, <i>'<img src='/image/spc_char/italics_e.gif' border=0>'</i>, between operating condition and equilibrium condition is found to be a key optimization variable. This paper describes the targeting as well as designing procedures for optimization of present MEN. During the design stage, it has been possible to achieve the targeted results.
Description: 378-385
URI: http://hdl.handle.net/123456789/7056
ISSN: 0975-0991 (Online); 0971-457X (Print)
Appears in Collections:IJCT Vol.13(4) [July 2006]

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