ABSTRACT

The present research work evaluates the influential process parameters such as moisture content, angle, and frequency for separating coal in the vibrating screen. The design of the experiment for three factors with three levels was obtained using Taguchi’s and Response surface methodology’s (RSM) method. Taguchi’s L27 and RSM Box–Behnken design (BBD) method was used to conduct the separation experiment on a vibrating screen. The main effect plot of Taguchi’s L27 and BBD method was used to evaluate the optimized condition for obtaining the highest separation efficiency of the vibrating screen. The optimized condition obtained was lower moisture content (4%), lower angle (1 degree in upward slope), and medium frequency (9 Hz). The interaction plot of Taguchi’s L27 and BBD method was used to evaluate the interaction between the process parameters. From the interaction plot and ANOVA results, it was clear that the moisture content is the most significant parameter compared with the angle and frequency parameter for separating coal in a vibrating screen. From the prediction results, it was also clear the regression coefficient of Taguchi’s L27 was higher when compared with the RSM BBD method. This shows that Taguchi’s L27 is the most suitable optimization method compared with RSM.

摘要

目前的研究工作评估了在振动筛中分离煤的水分含量、角度和频率等影响工艺参数。使用 Taguchi 和响应面方法 (RSM) 方法获得了三个水平的三个因素的实验设计。田口的 L27 和 RSM Box-Behnken 设计 (BBD) 方法用于在振动筛上进行分离实验。Taguchi 的 L27 和 BBD 方法的主效应图用于评估获得最高振动筛分离效率的优化条件。获得的优化条件是较低的水分含量 (4%)、较低的角度（向上倾斜 1 度）和中频 (9 Hz)。Taguchi 的 L27 和 BBD 方法的相互作用图用于评估工艺参数之间的相互作用。从交互作用图和方差分析结果可以明显看出，与振动筛分煤的角度和频率参数相比，水分含量是最重要的参数。从预测结果可以看出，与 RSM BBD 方法相比，田口 L27 的回归系数更高。这说明田口的L27与RSM相比是最合适的优化方法。