JEB logo

Journal of Environmental Biology

pISSN: 0254-8704 ; eISSN: 2394-0379 ; CODEN: JEBIDP

About Journal
    Home
    Editor in Chief
    Editorial Board
    Reviewer Panel
    Publication Policies
    Guidelines for Editors
    Guidelines for Reviewers
    Abstracting and Indexing
    Subscription and Payments
    Contact Journal
 
Read Journal
    Current Issue
    Journal Archives
 
For Authors
    Guidelines for Authors
    Terms and Conditions
    Fees and Payments
    Track Paper Status
 
Announcements
    JEB Awards
 

Google Search the Journal web-site:


    Abstract - Issue Jul 2019, 40 (4)                                     Back


nstantaneous and historical temperature effects on a-pinene

DOI : http://doi.org/10.22438/jeb/40/4(SI)/JEB_17

 

Application of grey relational analysis for the optimization of process parameters in adsorption process

 

Paper received: 30.10.2018???????????????????????????????????????????????????????????? Revised received: 06.03.2019????????????????????????????????????????????????????????????? Accepted: 16.03.2019

 

 

Authors Info

G. Manjula* and S. Revathi

  

Department of Civil Engineering,

SVS College of Engineering,

Coimbatore-642 109, India

 

    

*Corresponding Author Email :

gmanjula.svs@gmail.com

 

 

 

Abstract

 

Aim: Grey relational analysis was applied to optimize the removal of copper and zinc ions from textile industry waste water.    

 

Methodology: Experiments were conducted based on orthogonal array and the optimal set of process parameters such as adsorbent dosage, contact time and rotational speed were investigated to identify the performance characteristics, copper and zinc removal efficiency.    

 

Results: Based on the experimental results, analysis was carried out by Grey Relational Analysis. Response tables were used to find the optimal levels of parameters in adsorption process. The confirmation experiments were carried out to validate the optimal results.    

 

Interpretation: The adsorption process was optimized for achieving the combined objectives of higher rate of copper and zinc removal from textile waste water. The experimental results showed that parameter, contact time of adsorbent with waste water has the most significant effect on the multiple performance characteristics. Taguchi Grey relational analysis can be used as an effective technique to optimize the parameters for adsorption process.

 

Key words: Adsorption process, Copper, Taguchi orthogonal array, Textile waste water, Zinc removal

 

 

 

Copyright ? 2019 Triveni Enterprises. All rights reserved. No part of the Journal can be reproduced in any form without prior permission. Responsibility regarding the authenticity of the data, and the acceptability of the conclusions enforced or derived, rest completely with the author(s).