极限抗拉强度
青贮饲料
半纤维素
数学
材料科学
线性回归
纤维
木质素
复合材料
化学
植物
食品科学
统计
生物
作者
P. Huo,Shaochun Ma,Lingfeng Li,Wenpeng Liang,MO Jian-lin,Bosheng Zeng,Hongliang Nong,Zhengliang Ding,Jun Qian,Weiqing Li,Baocheng Zhou
标识
DOI:10.1016/j.indcrop.2023.117898
摘要
The problem of sugarcane top anti-tangling in the silage industry is based on mechanical properties, but there have been no studies on variables and models that can be used to predict them. The aim of this study was to examine how the physical properties, microstructure, and chemical composition of sugarcane top stems, leaves, and veins impact their mechanical properties and evaluate their role in entanglement within the silage industry. This study was carried out by using Grey Relational Analysis (GRA) and Multiple Linear Regression (MLR) to analyze the relationship and the influence level between the influencing factors (number of segments, diameter (width), segment distance, density, water content, hemicellulose content, cellulose content, and lignin content) and the mechanical property (tensile strength) of sugarcane tops. The results showed that the determination coefficients of tensile strength on stems, leaves, and veins were 0.9498, 0.9503, and 0.9457 by regression fitting, respectively. The RPD of the prediction model was greater than 3 and the RSEP was all less than 5%, which indicated that the model had a high prediction accuracy. It showed that the influencing factors and the mathematical model can be used to build the mechanical model of sugarcane tops, which was the basis for obtaining the data needed to study the anti-tangling of mechanical equipment.
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