Optimization of batch process parameters using response surface methodology for dye removal by a novel adsorbent

By K. Ravikumar, K. Pakshirajan, T. Swaminathan, K. Balu. 2005

221 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Organic Chemistry, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/1a8fd78d28e7c4d8496f4c35ae6b0a961f2a180b

How researchers see this paper

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1. S. Sivamani
2. S. Selvakumar
3. Shanmugaprakash Muthusamy
4. K. Rajendran

Citations in the corpus

• Artificial neural network–genetic algorithm-based optimization of biodiesel production from Simarouba glauca (2019, methodology): “Most of the previous research on biodiesel extraction has usually involved the effect of one variable at a time (OVAT) on the experimental output, while other parameters were kept constant; this method is not only time consuming but expensive as well in the consumption of reagents and materials [14]”