| Issue |
MATEC Web Conf.
Volume 416, 2025
XXIst International Coal Preparation Congress: “Advancing Sustainable Coal Preparation” (ICPC XXI 2025)
|
|
|---|---|---|
| Article Number | 04001 | |
| Number of page(s) | 17 | |
| Section | Dry Separation | |
| DOI | https://doi.org/10.1051/matecconf/202541604001 | |
| Published online | 10 November 2025 | |
Separation efficiency of XRT sensor sorting technology on coarse particle size fractions in coal processing
IMS Engineering (Pty) Ltd, 10 Derrick Road, Spartan, Kempton Park, Gauteng, South Africa
The application of X-ray transmission (XRT) sensor sorting technology in coal processing has gained significant attention due to its potential to enhance separation efficiency, reduce operational expenditure, and improve overall plant performance through an entirely dry process. This paper presents an in-depth analysis of the separation efficiency of an XRT sensor sorter applied to coarse particle size fractions in coal. Focusing on particle sizes greater than 20mm, the study evaluates key performance indicators such as yield, ash and sulphur reduction, increase in calorific value as well as a theoretical comparison to gravity separation. Data from testing coal on a commercial scale sorting plant and laboratory results are utilized to demonstrate the impact of various operational settings on the separation efficiency across coal run-of-mine samples sourced from a variety of mines across South Africa. The findings reveal that XRT technology offers distinct advantages in precision separation by distinguishing between coal and waste material with repeatability and reproducibility, making it an effective solution for coarse fraction sorting at a high throughput through a modular parallel installation. The paper will also discuss site related insights related to material handling and particle surface moisture and suggest optimization strategies to enhance the performance of XRT sensor sorters in industrial applications. The insights gained could support further innovation in sustainable coal processing practices.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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