OPTIMIZATION OF MELKASSA AGRICULTURAL RESEARCH CENTER (MARC) BEAN THRESHER PARAMETERS USING RESPONSE SURFACE METHOD (RSM)

In this study, the Agricultural Research Center of Melkassa examined the performance of a laboratory loop type bean thresher. As a function of different drum speeds (450, 550, and 650 rpm), concave apertures (25, 35, and 45 mm), feed rates (550, 650, and 750 kg/h), and moisture levels (5, 10, and 15%), the extent of grain deterioration, threshing efficiency, and rate of implantation were examined. Utilizing response surface techniques, the experimental design for optimization was developed. The response variables were significantly impacted by each independent variable. With a cylinder speed increase of 7.5 to 10.83 ms-1 , the percentages of grain damaged, threshed, and germination decreased from 45.98 to 47.97%, 96.81 to 99.69%, and 85.75 to 55.98%, respectively. Despite an increase in seed germination, damaged grain and threshing efficiency decreased as the moisture content increased. Grain deterioration and threshing efficiency decreased, however seed sprouting improved in tandem with an increase in feed rate and convex aperture. The cylinder speed of 8.25 ms-1, the concave clearance of 37.4 mm, the feed rate of 672 kg/h, and the moisture content of 11.6% (db) were found to be the ideal parameters. In this case, the ideal ranges for seed sprouting, threshing efficiency, and grain impairment were found to be 3, 98.3, and 84.29%, respectively.

Authors

Institutions

Publication Details

Journal
INMATEH Agricultural Engineering
Published
2024-12-13
DOI
https://doi.org/10.35633/inmateh-74-29
Citations
2
Primary Topic
Seed Germination and Physiology
Type
article
Field-Weighted Citation Impact
1.20
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

OPTIMIZATION OF MELKASSA AGRICULTURAL RESEARCH CENTER (MARC) BEAN THRESHER PARAMETERS USING RESPONSE SURFACE METHOD (RSM)

A. M. Olaniyan, Dereje Alemu, Amana Wako, Biniam ZEWDIE et al.
2 citations
INMATEH Agricultural Engineering
Seed Germination and Physiology
1.20
article

OPTIMIZATION OF MELKASSA AGRICULTURAL RESEARCH CENTER (MARC) BEAN THRESHER PARAMETERS USING RESPONSE SURFACE METHOD (RSM)

A. M. Olaniyan, Dereje Alemu, Amana Wako, Biniam ZEWDIE, Tamrat LEMA
article en
2 citations

Abstract

In this study, the Agricultural Research Center of Melkassa examined the performance of a laboratory loop type bean thresher. As a function of different drum speeds (450, 550, and 650 rpm), concave apertures (25, 35, and 45 mm), feed rates (550, 650, and 750 kg/h), and moisture levels (5, 10, and 15%), the extent of grain deterioration, threshing efficiency, and rate of implantation were examined. Utilizing response surface techniques, the experimental design for optimization was developed. The response variables were significantly impacted by each independent variable. With a cylinder speed increase of 7.5 to 10.83 ms-1 , the percentages of grain damaged, threshed, and germination decreased from 45.98 to 47.97%, 96.81 to 99.69%, and 85.75 to 55.98%, respectively. Despite an increase in seed germination, damaged grain and threshing efficiency decreased as the moisture content increased. Grain deterioration and threshing efficiency decreased, however seed sprouting improved in tandem with an increase in feed rate and convex aperture. The cylinder speed of 8.25 ms-1, the concave clearance of 37.4 mm, the feed rate of 672 kg/h, and the moisture content of 11.6% (db) were found to be the ideal parameters. In this case, the ideal ranges for seed sprouting, threshing efficiency, and grain impairment were found to be 3, 98.3, and 84.29%, respectively.

INMATEH Agricultural Engineering
Ethiopian Institute of Agricultural Research (ET), Adama Science and Technology University (ET)
Zero hunger
Openalex Percentile: Top 15%
Seed Germination and Physiology
1.20
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.