The aim is to remove chlorine from zinc dross by optimizing the microwave roasting process using response surface methodology (RSM). The effect of three major experimental factors such as temperature, time and stirring speed on the process has been investigated using analysis of variance (ANOVA). By applying least squares method and multiple regression analysis on the experimental results, the polynomial regression equation is found to explain the dependent variable by considering the significant terms. In the basis of this model, the optimum conditions that contribute to the maximum dechlorination rate are considered to be a roasting temperature of 527.78 °C, time of 143.78 min and stirring speed of 9.33 r/min. The dechlorination rate of 91.97% is obtained from repeated tests at optimal conditions, which is in accordance with the predicted data of 92.31%. The above results suggested that RSM can be applied in the dechlorination of the zinc dross effectively.
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机译：目的是通过使用响应表面方法（RSM）优化微波焙烧过程来从锌渣中去除氯。三种主要实验因素如温度，时间和搅拌速度的影响，使用差异分析（ANOVA）进行了研究。通过施加最小二乘法和对实验结果的多元回归分析，发现多项式回归方程通过考虑重要术语来解释因变量。在该模型的基础上，有助于最大脱氯速率的最佳条件被认为是527.78°C，时间为143.78分钟，搅拌速度为9.33 r / min。在最佳条件下从重复测试中获得91.97％的脱氯率，这是根据预测数据的92.31％。上述结果表明RSM可以有效地应用于锌渣的脱氯。
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