Evaluation of sampling systems in iron ore concentrating and pelletizing processes - Quantification of Total Sampling Error (TSE) vs. process variation

Karin Engström*, Kim Harry Esbensen

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

15 Citations (Scopus)

Abstract

Process sampling is involved in grade control in all parts of the production value chain in mineral processing. Reliable sampling and assaying is essential to ensure final product quality, but the need for representative sampling is not always taken into account. By continuous control of the variability of sampling systems, a comprehensive understanding of the relationship between the sampling and process variability can lower the risk for overcorrections of process parameters due to sampling variability rather than process changes. Variographic characterization of process sampling makes it possible to assess all combined sampling and analytical errors from only 40-60 routine analytical values. The objective of this study is to evaluate total sampling variability in relation to process variability in the concentrating and pelletizing process sampling at LKAB. The results from the variographic analyses will form a basis for suggestions of possible improvements. The results show that variographic analysis is a powerful tool to evaluate both process variations and the variability of the sampling systems employed. The extensive access to time series data allow variographic characterization (quality control) of all critical measurement systems and locations. At the same time, periodicity and small changes in process variation can be detected and counteracted early, minimizing the risk for producing products out of specification.

Original languageEnglish
JournalMinerals Engineering
Volume116
Pages (from-to)203-208
Number of pages6
ISSN0892-6875
DOIs
Publication statusPublished - 15 Jan 2018

Keywords

  • Concentrating
  • Iron ore
  • Pelletizing
  • Process sampling
  • Representativity
  • Sampling variability
  • Theory of sampling
  • Total sampling error
  • Variographic analysis

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