Journal of Environmental Biology

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

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