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Design, Testing, and Optimization of a Filling-Type Silage Crushing, Shredding, and Baling Integrated Machine
by
Sun, Wei
, Dai, Tong
, Simionescu, Petru A.
, Zhang, Danzhu
in
Analysis
/ Baling
/ Corn
/ Crushing
/ crushing and shredding
/ Density
/ Design
/ Design optimization
/ discrete element method
/ Efficiency
/ Feeds
/ filling-type
/ Grasses
/ Hammers
/ Machinery
/ Magneto-electric machines
/ Productivity
/ Regression models
/ Shredding
/ Silage
/ silage feed
/ Software
/ Straw
2025
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Design, Testing, and Optimization of a Filling-Type Silage Crushing, Shredding, and Baling Integrated Machine
by
Sun, Wei
, Dai, Tong
, Simionescu, Petru A.
, Zhang, Danzhu
in
Analysis
/ Baling
/ Corn
/ Crushing
/ crushing and shredding
/ Density
/ Design
/ Design optimization
/ discrete element method
/ Efficiency
/ Feeds
/ filling-type
/ Grasses
/ Hammers
/ Machinery
/ Magneto-electric machines
/ Productivity
/ Regression models
/ Shredding
/ Silage
/ silage feed
/ Software
/ Straw
2025
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Design, Testing, and Optimization of a Filling-Type Silage Crushing, Shredding, and Baling Integrated Machine
by
Sun, Wei
, Dai, Tong
, Simionescu, Petru A.
, Zhang, Danzhu
in
Analysis
/ Baling
/ Corn
/ Crushing
/ crushing and shredding
/ Density
/ Design
/ Design optimization
/ discrete element method
/ Efficiency
/ Feeds
/ filling-type
/ Grasses
/ Hammers
/ Machinery
/ Magneto-electric machines
/ Productivity
/ Regression models
/ Shredding
/ Silage
/ silage feed
/ Software
/ Straw
2025
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Design, Testing, and Optimization of a Filling-Type Silage Crushing, Shredding, and Baling Integrated Machine
Journal Article
Design, Testing, and Optimization of a Filling-Type Silage Crushing, Shredding, and Baling Integrated Machine
2025
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Overview
To address the limitations of large silage machines in hilly and small-scale farming regions and the inefficiencies of existing small-scale crushing and baling machines, in this study, we developed an integrated silage crushing, shredding, and baling machine. Using discrete element software (EDEM 2022.3), the baling process of shredded straw was simulated, achieving a baled grass density of 140.067 kg/m3, meeting practical requirements. A three-factor, three-level experiment was conducted to evaluate the effects of the hammer blade quantity, blade length, and hammer angle on machine productivity and straw shredding rate. Performance data were analyzed using Design-Expert 10.0.7 software to develop regression models and assess the significance of each factor. The results indicated that productivity was most influenced by hammer blade quantity, followed by blade length and hammer angle, while the shredding rate was primarily affected by blade length, then hammer blade quantity, and hammer angle. The optimal configuration was identified as 32 hammer blades, a blade length of 99 mm, and a hammer angle of 14°. Validation experiments demonstrated a productivity of 2815.29 kg/h, a straw shredding rate of 94.28%, and a baled grass density of 124.52 kg/m3, closely aligning with the predicted values and confirming the reliability of the optimization.
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