Influence and prediction of chemical composition of alfalfa on the quality and specific energy consumption of alfalfa briquettes

被引：0
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作者：
Du, Haijun [1 ]
Lei, Ting [1 ]
Ma, Yanhua [1 ,2 ]
Su, He [1 ]
Xuan, Chuanzhong [1 ]
机构：
[1] College of Mechanical and Electrical Engineering of Inner Mongolia Agricultural University, Hohhot,010018, China
[2] Inner Mongolia Engineering Research Center for Intelligent Equipment for the Entire Process of Forage and Feed Production, Hohhot,010018, China
来源：
Industrial Crops and Products | 2024年 / 222卷
关键词：
The chemical components and water content are related to the physical and mechanical properties of straw; affecting the processing technology that utilizes straw as energy and feed. The ratio of the viscous component to the elastic component; denoted as q; characterizes different chemical components of alfalfa. The influence of eigenvalue q on the densification of alfalfa particles was analyzed. By examining the morphology of alfalfa briquettes; the main binding mode of particles in the alfalfa briquettes was identified as the solid bridge formed by viscous components. A GA-BP-ANN artificial neural network prediction model was established to predict energy consumption and alfalfa briquette quality using q; improving the model's accuracy and stability while reducing the number of iterations. The research results contribute to determining the appropriate compression process for alfalfa; thereby promoting the efficient and high-quality utilization of alfalfa. © 2024 Elsevier B.V;
D O I：
10.1016/j.indcrop.2024.119891
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