Fundamental evaluation of petrographic effects on coal grindability by seasonal autoregressive integrated moving average (SARIMA)

Saeid Dindarloo, James C. Hower, Alan S. Trimble, Amirhossein Bagherieh, Alan S. Trimble

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

A series of coal Hardgrove grindability index (HGI) tests were performed to determine each iteration's content of the monomacerite microlithotypes vitrite (Vt) and inertite (In), the bimacerite microlithotypes clarite (Cl) and durite (Du), and the trimacerite microlithotypes duroclarite (Dc) and clarodurite (Cd). In HGI tests, larger particles are broken in grinding, the resulting daughter particles can be composed of different microlithotypes than the parent particle. Therefore, predicting the overall composition of the later iterations is complicated. A time series of the compositions values was constructed by sequencing the contents of all iteration (in different mesh sizes) by the order of iterations. Seasonal autoregressive integrated moving average (SARIMA), a widely used method of time series analysis, was employed for forecasting the final iteration's content of Vt, In, Cl, Du, Dc, and Cd. The proposed methodology was able to forecast the last iteration's composition, comparable to the actual observation.

Original languageEnglish
Pages (from-to)94-99
Number of pages6
JournalInternational Journal of Mineral Processing
Volume154
DOIs
StatePublished - Sep 10 2016

Bibliographical note

Publisher Copyright:
© 2016 Elsevier B.V.

Keywords

  • Coal
  • Hardgrove grindability index
  • Petrology
  • Pulverization
  • Time series

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Geochemistry and Petrology

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