Bal Manisha, Biswas Subrata, Behera Sushanta K, Meikap B C
a Department of Chemical Engineering , Indian Institute of Technology (IIT) Kharagpur , West Bengal , India.
b Department of Chemical Engineering, School of Engineering , Howard College, University of Kwazulu-Natal , Durban , South Africa.
J Environ Sci Health A Tox Hazard Subst Environ Eng. 2019;54(4):359-366. doi: 10.1080/10934529.2018.1551650. Epub 2019 Jan 10.
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 R square value (0.9717). Optimum conditions were obtained as 55.18 m s 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.
在本文中，对工艺变量进行了优化，以提高浸没式自吸文丘里洗涤器中有毒HCl气体的去除效率。选择了具有中心复合设计的响应面方法来预测工艺变量对去除效率的影响。通过本研究得到了一个二次方程来预测去除效率，并通过方差分析评估了工艺变量的显著性。回归分析通过较高的R平方值（0.9717）证实了所开发模型的适用性。获得的最佳条件为：喉口气速55.18 m/s、入口HCl浓度405.10 ppm、洗涤液中NaOH浓度0.0038 N，以实现90.80%的HCl去除效率。
