Data reconciliation of mineral liberation distributions

Since several decades, most measurements in mineral processing plants have been reconciled to improve their accuracy and validity. However, existing methods cannot simultaneously reconcile mineral grades, liberation distributions, and elemental assays. This work proposes a multilinear framework for reconciling measurements from an industrial flotation cell, including particles flowrates, solids fractions, particle size distributions, elemental and mineralogical assays, and mineral liberation distributions for complex lithologies. Results demonstrate improved reliability of performance indicators, such as recovery, by enforcing mass balance equations. A limited amount of minerals are considered by iterating on the gangue elemental composition, thus greatly reducing the problem size.

Authors

Institutions

Publication Details

Journal
IFAC-PapersOnLine
Published
2025-01-01
DOI
https://doi.org/10.1016/j.ifacol.2025.12.402
Primary Topic
Mineral Processing and Grinding
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Data reconciliation of mineral liberation distributions

Raphaël Mermillod-Blondin, David-Alexandre Desrosiers, Éric Poulin, Jocelyn Bouchard et al.
IFAC-PapersOnLine
Mineral Processing and Grinding
article

Data reconciliation of mineral liberation distributions

Raphaël Mermillod-Blondin, David-Alexandre Desrosiers, Éric Poulin, Jocelyn Bouchard, Hassan Bouzahzah
article en

Abstract

Since several decades, most measurements in mineral processing plants have been reconciled to improve their accuracy and validity. However, existing methods cannot simultaneously reconcile mineral grades, liberation distributions, and elemental assays. This work proposes a multilinear framework for reconciling measurements from an industrial flotation cell, including particles flowrates, solids fractions, particle size distributions, elemental and mineralogical assays, and mineral liberation distributions for complex lithologies. Results demonstrate improved reliability of performance indicators, such as recovery, by enforcing mass balance equations. A limited amount of minerals are considered by iterating on the gangue elemental composition, thus greatly reducing the problem size.

IFAC-PapersOnLineVol. 59(32)
University of Liège (BE), Laboratoire de Génie Électrique et Électronique de Paris (FR), Agnico Eagle (Canada) (CA), Laboratoire de Génie Chimique (FR), Département d'Informatique (FR), Université Laval (CA)
Openalex Percentile: Top 58%
Mineral Processing and Grinding
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Data reconciliation of mineral liberation distributions — Raphaël Mermillod-Blondin, David-Alexandre Desrosiers, et al. · IFAC-PapersOnLine (2025) | TGRS Research Map | TGRS