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

被引：0

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

中图分类号：

学科分类号：

摘要：

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