A modified Rittinger model for the grinding of wet granular material

Grinding is a fundamental process widely used across various industrial sectors. Although often considered merely a pre-treatment step, it remains poorly studied from a fundamental perspective-especially when accounting for the presence of water or humidity. In particular, the relationship between grinding parameters and size reduction efficiency remains a critical bottleneck in optimizing this highly energy-intensive operation. The water content of the raw material to be ground is often a poorly controlled factor, yet it strongly influences grinding efficiency. This can be due to lubrication forces and capillary cohesion, which leads to the formation of aggregates that are more difficult to grind. This paper presents an original approach to link the particle aggregation capacity with the grinding rate. This aggregation, which limits the energy available for effective grinding, was estimated using the Carr index. A modified Rittinger law that relates the specific surface area created to the energy transmitted by the grinding media, incorporating the influence of water content is proposed. This model provides new guidelines for achieving more efficient comminution. • Quartz sand grinding, performed in a vibratory ball mill on dry to saturated samples • Grinding rate shows strong correlation with densification capacity of a granular bed • A modified Rittinger model: incorporating water content through the Carr index

Authors

Institutions

Publication Details

Journal
Powder Technology
Published
2025-10-19
DOI
https://doi.org/10.1016/j.powtec.2025.121775
Citations
1
Primary Topic
Mineral Processing and Grinding
Type
article
Field-Weighted Citation Impact
0.71
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A modified Rittinger model for the grinding of wet granular material

Vincent Richefeu, Jean‐Yves Delenne, Claire Mayer‐Laigle, Komlanvi Lampoh et al.
1 citations
Powder Technology
Mineral Processing and Grinding
0.71
article

A modified Rittinger model for the grinding of wet granular material

Vincent Richefeu, Jean‐Yves Delenne, Claire Mayer‐Laigle, Komlanvi Lampoh, Mathis Thouret
article en
1 citations

Abstract

Grinding is a fundamental process widely used across various industrial sectors. Although often considered merely a pre-treatment step, it remains poorly studied from a fundamental perspective-especially when accounting for the presence of water or humidity. In particular, the relationship between grinding parameters and size reduction efficiency remains a critical bottleneck in optimizing this highly energy-intensive operation. The water content of the raw material to be ground is often a poorly controlled factor, yet it strongly influences grinding efficiency. This can be due to lubrication forces and capillary cohesion, which leads to the formation of aggregates that are more difficult to grind. This paper presents an original approach to link the particle aggregation capacity with the grinding rate. This aggregation, which limits the energy available for effective grinding, was estimated using the Carr index. A modified Rittinger law that relates the specific surface area created to the energy transmitted by the grinding media, incorporating the influence of water content is proposed. This model provides new guidelines for achieving more efficient comminution. • Quartz sand grinding, performed in a vibratory ball mill on dry to saturated samples • Grinding rate shows strong correlation with densification capacity of a granular bed • A modified Rittinger model: incorporating water content through the Carr index

Powder TechnologyVol. 469
Institut polytechnique de Grenoble (FR), Centre National de la Recherche Scientifique (FR), Université de Montpellier (FR), Ingénierie des Agropolymères et Technologies Emergentes (FR), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Institut Agro Montpelier (FR), Université Grenoble Alpes (FR)
Openalex Percentile: Top 26%
Mineral Processing and Grinding
0.71
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.