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Application of fractional factorial design for evaluating the separation performance of the screening machine
International Journal of Coal Preparation and Utilization ( IF 2.1 ) Pub Date : 2021-08-04 , DOI: 10.1080/19392699.2021.1962312
Bharath Kumar Shanmugam 1 , Harsha Vardhan 1 , M. Govinda Raj 1 , Marutiram Kaza 2 , Rameshwar Sah 2 , Harish Hanumanthappa 1
Affiliation  

ABSTRACT

Implementing the planned execution of experiments will optimize the resources and time of a newly developed process or equipment. In the present work, the screening machine is newly developed equipment designed for the separation of coal. The present work was carried out to evaluate the performance of separation efficiency of the screening machine using generalized and forward selection fractional factorial experimental design. Further, the present work will also determine the significance of each operational variable, such as moisture content, angle, and frequency, for increasing separation efficiency. A cube plot was developed from the experimental design, which shows the highest and lowest condition of separation efficiency for each level of the operational variables. Further, a Pareto chart was developed to evaluate the significant operational variable for the screening machine. The results of the generalized method and forward selection method of fractional design show that the moisture content was the most significant operational variable, followed by angle and frequency. The results also show that the screen blinding of a screening machine plays an important role in reducing the separation efficiency of a screening machine.



中文翻译:

部分因子设计在筛分机分离性能评价中的应用

摘要

实施计划的实验执行将优化新开发的工艺或设备的资源和时间。在目前的工作中,筛分机是新开发的为煤的分离而设计​​的设备。目前的工作是使用广义和前向选择部分因子实验设计来评估筛分机的分离效率性能。此外,目前的工作还将确定每个操作变量的重要性,例如水分含量、角度和频率,以提高分离效率。从实验设计中开发了一个立方图,它显示了每个操作变量水平的分离效率的最高和最低条件。更远,开发了一个帕累托图来评估筛选机的重要操作变量。分数设计的广义方法和前向选择方法的结果表明,水分含量是最显着的操作变量,其次是角度和频率。结果还表明,筛分机的筛网致盲对降低筛分机的分离效率起着重要作用。

更新日期:2021-08-04
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