紫花苜蓿干燥和茎叶分离效果预测模型与工艺优化  

Effect Prediction Model and Process Optimization of the Drying and Separating for Leaf-stem of Fresh Chopped Alfalfa

作　　者：高扬[1] 王德成[1] 王光辉[1] 方宪法[2] 宁国鹏[1] 杨洁[1] 

机构地区：[1]中国农业大学工学院,北京100083 [2]中国农业机械化科学研究院,北京100083

出　　处：《农业机械学报》2010年第6期113-117,162,共6页Transactions of the Chinese Society for Agricultural Machinery

基　　金："十一五"国家科技支撑计划资助项目(2006BAD11A0902;2007BAD35B0101);财政部;农业部国家牧草产业技术体系资助项目(nyeytx-027)

摘　　要：为研究新鲜切碎紫花苜蓿茎叶干燥分离过程中,入口温度、入口风速、转筒转速和喂料速度对出机叶料含水率、出机茎料含水率、茎叶分离率的影响,采用9GFQA-600型苜蓿干燥茎叶分离设备进行试验,设计了四因素二次正交旋转组合试验进行回归分析,建立了相应的数学模型并进行了优化。结果表明,得到的回归方程显著,具有较好的拟合度;4个因素对苜蓿茎叶干燥分离效果的影响大小依次为:入口温度、入口风速、转筒转速、喂料速度;最优参数组合为:入口温度400℃、入口风速14 m/s、转筒转速为12 r/min、喂料速度8 kg/min,在此条件下出机叶料含水率为13.42%、出机茎料含水率为14.24%、茎叶分离率为77.38%。Many factors have effects on the separating ratio,moisture contents of the stems and leaves in fresh chopped alfalfa drying and separating processing.Four major factors： inlet temperature,inlet velocity,rotational speed of rotary drum,and feeding speed were analyzed in leaf-stem separation equipment.A quadratic orthogonal rotation design with 4 factors was introduced to do the regression analysis.Then models were developed and optimized.The results showed that the developed models fit the experiment data well.The inlet temperature affected the drying and separating processing most significantly and then the let velocity,rotational speed of rotary drum,feeding speed,respectively.It was analyzed that the most optimized parameters were 400℃ of inlet temperature,14m/s of inlet velocity,12r/min of rotational speed of rotary drum,and 8kg/min of feeding speed,respectively.Under these conditions,the leaf moisture content was 13.42%,the steam moisture content was 14.24%,and leaf-steam separation ratio was 77.38%.

关 键 词：紫花苜蓿 茎叶分离 干燥 数学模型 工艺优化 

分 类 号：S226.6[农业科学—农业机械化工程] S541.9[农业科学—农业工程]