LAPSE:2020.1249
Published Article
LAPSE:2020.1249
Analysis and Prediction of Influencing Parameters on the Coal Classification Performance of a Novel Three Products Hydrocyclone Screen (TPHS) Based on Grey System Theory
Chuanzhen Wang, Xiaolu Sun, Liang Shen, Guanghui Wang
December 22, 2020
A novel hydrocyclone including a cylindrical screen embedded in a conventional hydrocyclone (CH), named three products hydrocyclone screen (TPHS), has been successfully designed. In TPHS, the combination of centrifugal classification and screening was employed to separate particles. In this paper, Grey theory, as an effective means to the laws of both complex and uncertainty system’s behavior with small samples, was used to investigate the operational (feed concentration and feed pressure) and structural (aperture size, spigot diameter, and vortex finder diameter) parameters on performance evaluation Hancock classification efficiency (HE), imperfection (I), and cut size (d50c). The experiments of coal sample (0−1 mm) show that TPHS with coarser particles in underflow exhibited the absent “fish-hook”. The closeness calculated using the Grey System algorithm indicates that the performance of TPHS was closely related to the operation and structure parameters. Further, the order of grey incidence degree between different parameters and HE (or I or d50c) is the spigot diameter and aperture size with the highest value, the feed pressure and vortex finder diameter with the middle value, and the feed concentration with the lowest value. The prediction using the GM(1, N) algorithm implies that the dynamic prediction model for the performance evaluation can be created depending on the operation, structure and previous performance value. The mean relative errors between the predicted and actual HE, I, and d50 were 2.84%, 5.83%, and 3.57%, respectively, which exhibit the accurate prediction.
Keywords
GM(1, N) model, Grey System theory, performance analysis, performance prediction, three products hydrocyclone screen
Subject
Suggested Citation
Wang C, Sun X, Shen L, Wang G. Analysis and Prediction of Influencing Parameters on the Coal Classification Performance of a Novel Three Products Hydrocyclone Screen (TPHS) Based on Grey System Theory. (2020). LAPSE:2020.1249
Author Affiliations
Wang C: State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, College of Material Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China [ORCID]
Sun X: School of Mining and Technology, Inner Mongolia University of Technology, Hohhot 010051, China
Shen L: State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, College of Material Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China [ORCID]
Wang G: Key Laboratory of Coal Processing and Efficient Utilization, Ministry of Education, School of Chemical Engineering and Technology, China University of Mining & Technology, Xuzhou 221116, China
Journal Name
Processes
Volume
8
Issue
8
Article Number
E974
Year
2020
Publication Date
2020-08-12
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr8080974, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2020.1249
This Record
External Link

doi:10.3390/pr8080974
Publisher Version
Download
Files
[Download 1v1.pdf] (2.3 MB)
Dec 22, 2020
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
344
Version History
[v1] (Original Submission)
Dec 22, 2020
 
Verified by curator on
Dec 22, 2020
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2020.1249
 
Original Submitter
Calvin Tsay
Links to Related Works
Directly Related to This Work
Publisher Version