摘要
【目的】研究青贮玉米粉碎物料压缩特性,解决青贮玉米压缩机械作业能耗大、压缩密度低的问题。【方法】以喂入量、压缩密度和压缩速度为试验因素,以比能耗、压缩时间和最大压缩力为试验指标,开展二次回归正交试验,进行试验因素显著性分析,建立回归模型,对试验结果进行响应面优化。【结果】各试验因素对比能耗影响顺序为压缩密度>喂入量>压缩速度,对压缩时间影响顺序为压缩速度>压缩密度>喂入量,对最大压缩力影响顺序为压缩密度>压缩速度>喂入量。响应面优化后的最佳因素水平组合为喂入量0.90 kg、压缩密度550 kg/m^(3)、压缩速度245.50 mm/min。【结论】本研究得到的回归模型误差小,优化结果可信度高,可用于青贮玉米饲料制备工艺参数选取,也可为青贮玉米压缩装置设计提供理论参考。
[Purpose]To study the compression characteristics of crushed silage corn materials and solve the problems of high energy consumption and low compression density of silage corn compression machinery.[Methods]Using feeding amount,compression density,and compression speed as experimental factors,and specific energy consumption,compression time,and maximum compression force as experimental indicators,a quadratic regression orthogonal experiment was conducted to analyze the significance of experimental factors,establish a regression model,and optimize the response surface of the experimental results.[Results]The order of influence on specific energy consumption among various experimental factors was compression density>feeding amount>compres-sion speed,the order of influence on compression time was compression speed>compression density>feeding amount,and the order of influence on maximum compression force was compression density>compression speed>feeding amount.The optimal factor level combination after response sur-face optimization was the feeding amount of 0.90 kg,compression density of 550 kg/m^(3),and com-pression speed of 245.50 mm/min.[Conclusion]The regression model obtained in this study has small error and high reliability of optimization results,which can be used for selecting process para-meters for the preparation of silage corn feed and also provide theoretical reference for the design of silage corn compression equipment.
作者
赵玉清
齐文涛
赵勇
马兴彪
朱树早
陈再兴
熊坚
赵伟
ZHAO Yuqing;QI Wentao;ZHAO Yong;MA Xingbiao;ZHU Shuzao;CHEN Zaixing;XIONG Jian;ZHAO Wei(College of Mechanical and Electrical Engineering,Yunnan Agricultural University,Kunming 650201,China;School of Transportation Engineering,Kunming University of Science and Technology,Kunming 650093,China;Yunnan Plateau Characteristic Agricultural Industry Research Institute,Kunming 650201,China;Agricultural Machinery Technology Extension Station of Xundian County,Kunming 655200,China)
出处
《云南农业大学学报（自然科学版）》
CSCD
北大核心
2023年第4期704-713,共10页
Journal of Yunnan Agricultural University:Natural Science
基金
云南省重大科技专项—绿色食品国际合作研究中心项目(2019ZG009)
云南省教育厅科学研究基金项目(2020Y198)。
关键词
青贮玉米粉碎物料
压缩特性
响应面优化
crushed silage corn material
compression characteristics
response surface optimization
