当前位置: X-MOL 学术Int. J. Coal Prep. Util. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Regression modeling and residual analysis of screening coal in screening machine
International Journal of Coal Preparation and Utilization ( IF 2.0 ) Pub Date : 2021-05-19 , DOI: 10.1080/19392699.2021.1923488
Bharath Kumar Shanmugam 1 , Harsha Vardhan 1 , M. Govinda Raj 1 , Marutiram Kaza 2 , Rameshwar Sah 2 , Harish Hanumanthappa 1
Affiliation  

ABSTRACT

Coal is one of the chief energy sources having significant applications in the iron and steel industry. This research investigates the screening efficiency of coal of different size range. The experiments on the screening of coal with different size range in the screening machine were carried out using different mesh sizes. The screening efficiency for different screen angles and frequency of vibration was carried out. After experimentation, regression modeling was carried out for each screening condition. The maximum efficiency of screening coal with size range +4 mm-6 mm, +2 mm-4 mm, and +0.5 mm-2 mm obtained was 87.60%, 80.93%, and 62.96%, respectively. The experimental results show that the screening efficiency decreases with the decrease in size range for screening from +4 mm-6 mm to +0.5 mm-2 mm. The reduction in screening efficiency was due to the clogging of coal to the screen mesh. Linear and quadratic modeling were performed to estimate the efficiency of all the experimental results. After prediction, the validation using residual analysis was carried out, and the results illustrate that the quadratic prediction modeling was accurate.



中文翻译:

筛分机筛分煤的回归建模与残差分析

摘要

煤炭是主要能源之一,在钢铁工业中具有重要应用。本研究调查了不同粒度范围煤的筛分效率。在筛分机中对不同粒度范围的煤进行筛分试验,采用不同的筛孔尺寸进行。进行了不同筛分角度和振动频率的筛分效率。实验后,对每个筛选条件进行回归建模。获得的+4 mm-6 mm、+2 mm-4 mm和+0.5 mm-2 mm粒度范围煤的最大筛分效率分别为87.60%、80.93%和62.96%。实验结果表明,筛分效率随着筛分尺寸范围从+4 mm-6 mm减小到+0.5 mm-2 mm而降低。筛分效率的降低是由于煤堵塞筛网。进行线性和二次建模以估计所有实验结果的效率。预测后,利用残差分析进行验证,结果表明二次预测建模是准确的。

更新日期:2021-05-19
down
wechat
bug