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Research Article

Online analysis of coal slime water particle size based on RRSB characteristic parameters

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Pages 3185-3201 | Received 24 Apr 2022, Accepted 09 Aug 2022, Published online: 18 Aug 2022
 

ABSTRACT

Because slime water grain size variations cannot be accurately assessed in coal preparation plants during production, a method for determining the particle size distribution (PSD) based on Rosin – Rammler–Sperling – Bennett (RRSB) characteristic parameters is proposed. This study performed an industrial real-time sampling of coal slime water at four test points in a coal preparation plant, using an online sampler and a mechanical-pressing particle size measuring device. The measurement accuracy test was confirmed through testing such that production requirements were met. Taking the feeding of the concentration tank as an example, three distribution laws were verified, and the results showed that the PSD fit well with the RRSB distribution function, where the characteristic parameter n was 0.074 and the critical particle size Dewas 0.047 mm. In addition, after changing the parameters through gradation, n reflected the change of the dominant particle size range, while De indicated the direction of the particle size change. Through this successful application, show that employing a set of characteristic parameters based on RRSB PSD – obtained via an online granularity analysis system analyzing slurry particle size trends – has good potential for addressing the problem at hand.

Disclosure statement

No potential conflict of interest was reported by the author(s).

CRediT Author Statement

Hongguang Lv: Conceptualization, Writing-Original draft preparation, Methodology; Xinyuan Zhang: Resources, Investigation, Software, Gen Huang: Formal analysis, Visualization; Jihui Li: Data Curation, Validation; Liqiang Ma: Writing- Reviewing and Editing, Supervision.

Additional information

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

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