Szczegóły publikacji
Opis bibliograficzny
Evaluation of jig work on the basis of granulometric analysis of particle size fractions of benefication products in purpose of process optimization / A. SUROWIAK, D. FOSZCZ, T. NIEDOBA // IOP Conference Series: Materials Science and Engineering ; ISSN 1757-8981. — 2019 — vol. 641 art. no. 012006, s. 1–9. — Bibliogr. s. 9, Abstr. — Publikacja dostępna online od: 2019-11-19. — MEC 2019 : Mineral Engineering Conference : 16–19 September 2019, Kocierz, Poland
Autorzy (3)
Dane bibliometryczne
| ID BaDAP | 126035 |
|---|---|
| Data dodania do BaDAP | 2019-12-04 |
| Tekst źródłowy | URL |
| DOI | 10.1088/1757-899X/641/1/012006 |
| Rok publikacji | 2019 |
| Typ publikacji | referat w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | IOP Conference Series: Materials Science and Engineering |
Abstract
The analysis of hard coal jigging was conducted because of optimal recovery of useful fraction in concentrate and not useful fraction in tailings. The evaluation of the process was conducted on the basis of industrial sampling of coal dust jig and performed granulometric and densimetric analyses of collected products samples in laboratory conditions. In selected size-density fractions of partition products the yields of products were calculated and the amounts of ash and total sulfur were determined. On the basis of the results of granulometric, densimetric and chemical analyses of obtained size-density fractions, balance of partition products and appropriate calculations the beneficiation curves were created which allowed to evaluate the process because of optimization of device work in purpose of achieving higher recovery by possibly highest concentrate quality. The evaluation of hard coal beneficiation results was done in the paper because of optimal recovery of organic phase in concentrate and mineral components in tailings in aspect of process monitoring. The analysis of obtained characteristics of ability to beneficiation was performed in purpose of selecting optimal technological factors for the needs of optimization of device work.
