OPTIMIZATION OF TECHNOLOGICAL PARAMETERS FOR FUEL ROLL PRODUCTION USING AGRICULTURAL CROP STEM BIOMASS

The paper develops a regression model to predict the density of Fuel Rolls produced from Agricultural Crop Stem Biomass. The study evaluates the influence of Variable-volume Pressing Chamber pressure (P, MPa), biomass volume per linear meter (V, m³), and flax stem content (m, %) on Fuel Roll density (ρ). The goal is to optimize these parameters to ensure the desired density of Fuel Roll. A regression analysis combined with response surface methodology was employed. The optimal parameters for Fuel Rolls production include Variable-volume Pressing Chamber pressure of 0.45–0.55 MPa, biomass volumes of 0.65–0.75 m³/m and flax stem content 75%. These technological parameters enable the production of fuel rolls with required density of 110-130 kg/m³. The results show that increasing pressure in the Variable-volume Pressing Chamber enhances Fuel Roll density, while larger biomass volumes lead to lower densities. Additionally, higher flax stem content improves cohesion and compaction, resulting in higher densities. These findings emphasize the importance of fine-tuning technological parameters to optimize Fuel Roll production. Utilizing agricultural crop stems for biofuel production offers significant environmental benefits, including reduced agricultural waste and lower combustion emissions.

Authors

Institutions

Publication Details

Journal
INMATEH Agricultural Engineering
Published
2025-04-08
DOI
https://doi.org/10.35633/inmateh-75-21
Citations
1
Primary Topic
Biofuel production and bioconversion
Type
article
Field-Weighted Citation Impact
0.67
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

OPTIMIZATION OF TECHNOLOGICAL PARAMETERS FOR FUEL ROLL PRODUCTION USING AGRICULTURAL CROP STEM BIOMASS

Т. Kuzmina, Svitlana Yaheliuk, Г.А. Бойко, V. Didukh et al.
1 citations
INMATEH Agricultural Engineering
Biofuel production and bioconversion
0.67
article

OPTIMIZATION OF TECHNOLOGICAL PARAMETERS FOR FUEL ROLL PRODUCTION USING AGRICULTURAL CROP STEM BIOMASS

Т. Kuzmina, Svitlana Yaheliuk, Г.А. Бойко, V. Didukh, Mikhalo FOMICH, Olexandr YAHELIUK
article en
1 citations

Abstract

The paper develops a regression model to predict the density of Fuel Rolls produced from Agricultural Crop Stem Biomass. The study evaluates the influence of Variable-volume Pressing Chamber pressure (P, MPa), biomass volume per linear meter (V, m³), and flax stem content (m, %) on Fuel Roll density (ρ). The goal is to optimize these parameters to ensure the desired density of Fuel Roll. A regression analysis combined with response surface methodology was employed. The optimal parameters for Fuel Rolls production include Variable-volume Pressing Chamber pressure of 0.45–0.55 MPa, biomass volumes of 0.65–0.75 m³/m and flax stem content 75%. These technological parameters enable the production of fuel rolls with required density of 110-130 kg/m³. The results show that increasing pressure in the Variable-volume Pressing Chamber enhances Fuel Roll density, while larger biomass volumes lead to lower densities. Additionally, higher flax stem content improves cohesion and compaction, resulting in higher densities. These findings emphasize the importance of fine-tuning technological parameters to optimize Fuel Roll production. Utilizing agricultural crop stems for biofuel production offers significant environmental benefits, including reduced agricultural waste and lower combustion emissions.

INMATEH Agricultural Engineering
Kherson National Technical University (UA), Lutsk National Technical University (UA)
Openalex Percentile: Top 33%
Biofuel production and bioconversion
0.67
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.

OPTIMIZATION OF TECHNOLOGICAL PARAMETERS FOR FUEL ROLL PRODUCTION USING AGRICULTURAL CROP STEM BIOMASS — Т. Kuzmina, Svitlana Yaheliuk, et al. · INMATEH Agricultural Engineering (2025) | TGRS Research Map | TGRS