G. Manjula* and S. Revathi
Department of Civil Engineering,
SVS College of Engineering,
Coimbatore-642 109, India
Author Email :
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
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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