Improving Pellet Quality and Throughput via Die Type and Steam Conditioning Temperature Optimization in Cattle Feed Production

This study addressed the production challenges in high-fiber cattle feed pelleting, where conventional die design and low steam temperature led to die wear, excessive fines, and low throughput. The effects of the pellet die type and steam conditioning temperature on pellet quality, energy consumption, and throughput were evaluated using a full factorial experiment at a commercial feed null. Two die types (standard and counterdrilled) and five steam temperatures (65—85 °C) were tested. Key parameters included the pellet durability index (PDI). dust content, motor current, production rate, and nutritional composition. Results showed that steam temperature significantly influenced pellet quality (p < 0.05). with optimal PDI (-97%) and minimal dust (-1.5%) achieved at 80—85 °C. The die type significantly affected the energy efficiency and output (p < 0.001); the counterdrilled die reduced the motor current by up to 18% and increased the throughput by -20%. No significant differences were found in the protein, fiber, or fat content (p > 0.05). indicating nutritional stability'. The combination of high-temperature steam conditioning and a counterdrilled die offers an effective strategy for enhancing the pellet quality and reducing the energy load. This approach is suitable for high-capacity cattle feed mills, aiming for a consistent performance and improved operational efficiency.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-11-13
DOI
https://doi.org/10.1051/e3sconf/202566105002/pdf
Primary Topic
Food Drying and Modeling
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improving Pellet Quality and Throughput via Die Type and Steam Conditioning Temperature Optimization in Cattle Feed Production

Springer Link (Chiba Institute of Technology)
Food Drying and Modeling
article

Improving Pellet Quality and Throughput via Die Type and Steam Conditioning Temperature Optimization in Cattle Feed Production

article en

Abstract

This study addressed the production challenges in high-fiber cattle feed pelleting, where conventional die design and low steam temperature led to die wear, excessive fines, and low throughput. The effects of the pellet die type and steam conditioning temperature on pellet quality, energy consumption, and throughput were evaluated using a full factorial experiment at a commercial feed null. Two die types (standard and counterdrilled) and five steam temperatures (65—85 °C) were tested. Key parameters included the pellet durability index (PDI). dust content, motor current, production rate, and nutritional composition. Results showed that steam temperature significantly influenced pellet quality (p < 0.05). with optimal PDI (-97%) and minimal dust (-1.5%) achieved at 80—85 °C. The die type significantly affected the energy efficiency and output (p < 0.001); the counterdrilled die reduced the motor current by up to 18% and increased the throughput by -20%. No significant differences were found in the protein, fiber, or fat content (p > 0.05). indicating nutritional stability'. The combination of high-temperature steam conditioning and a counterdrilled die offers an effective strategy for enhancing the pellet quality and reducing the energy load. This approach is suitable for high-capacity cattle feed mills, aiming for a consistent performance and improved operational efficiency.

Springer Link (Chiba Institute of Technology)
Affordable and clean energy
Openalex Percentile: Top 39%
Food Drying and Modeling
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.