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Modeling and optimization of process variables for HCl gas removal by response surface methodology
- Bal, Manisha, Biswas, Subrata, Behera, Sushanta K., Meikap, B. C.
- Journal of environmental science and health 2019 v.54 no.4 pp. 359-366
- equations, hydrochloric acid, liquids, models, regression analysis, response surface methodology, sodium hydroxide, toxicity
- In the present article, optimization of process variables has been done to maximize the removal efficiency of toxic HCl gas in a submerged self-priming venturi scrubber. Response surface methodology with central composite design has been chosen to predict the effect of process variables on the removal efficiency. A quadratic equation was found from this study to predict the removal efficiency and from the ANOVA test, the significance of process variables was evaluated. Regression analysis confirmed the suitability of the developed model by the higher R² square value (0.9717). Optimum conditions were obtained as 55.18 m s–¹ of throat gas velocity, 405.10 ppm of inlet HCl concentration and 0.0038 N of NaOH concentration in scrubbing liquid to achieve 90.80% of the HCl removal efficiency.