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| 基于挤压模拟试验的苜蓿草颗粒成型工艺参数优化 | |
| 引用本文： | 黄晓鹏,万芳新,黄建龙,吴劲锋,张克平.基于挤压模拟试验的苜蓿草颗粒成型工艺参数优化[J].农业工程学报,2011,27(11):354-358. |
| 作者姓名： | 黄晓鹏 万芳新 黄建龙 吴劲锋 张克平 |
| 作者单位： | 1. 兰州理工大学机电学院,兰州730050;甘肃农业大学工学院,兰州730070 2. 甘肃农业大学工学院,兰州,730070 3. 兰州理工大学机电学院,兰州,730050 |
| 基金项目： | 国家自然科学基金（51065001）；甘肃省教育厅资助项目（1002-10） |
| 摘 要： | 为了确定最佳的苜蓿草颗粒产品制粒成型工艺，以苜蓿草粉为制粒物料，通过环模制粒过程的模拟试验，利用二次回归正交旋转试验设计，探讨了制粒密度与挤出力、物料含水率、草粉粒度的关系，建立了各因素与制粒密度之间的数学模型。试验数据分析显示：建立的回归方程显著；3个因子对制粒密度影响大小顺序为挤出力、含水率、草粉粒度；通过方程模拟选优得出模拟试验条件下的最优参数组合为：挤出力5.47?kN、含水率16.96%、草粉粒度6.34?mm，即制粒密度为最大值1.241?g/cm3。该研究可为提高草颗粒及其它颗粒物料产品的质量提供指导。 |
| 关 键 词： | 工艺控制，优化，回归分析，苜蓿草颗粒，制粒过程模拟，二次正交旋转回归组合设计，参数 |
| 收稿时间： | 2011/1/17 0:00:00 |
| 修稿时间： | 2011/8/22 0:00:00 |
Parameter optimization of granulated alfalfa pelleting process based on extrusion simulation experiment |
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| Huang Xiaopeng,Wan Fangxin,Huang Jianlong,Wu Jingfeng and Zhang Keping.Parameter optimization of granulated alfalfa pelleting process based on extrusion simulation experiment[J].Transactions of the Chinese Society of Agricultural Engineering,2011,27(11):354-358. | |
| Authors: | Huang Xiaopeng Wan Fangxin Huang Jianlong Wu Jingfeng and Zhang Keping |
| Abstract: | To obtain the best pelletizing process of alfalfa pellet, the granulated alfalfa as the pelletizing material, through the simulation experiment of pelletizing with ring die and using the quadratic regression orthogonal rotational combining design, the relationships of granulation density with extrusion force, material moisture content and size were studied, and the mathematical model between factors and the density of the granulation was established. The result showed that: regression equation was significant; the three factors affecting the density of the granulation was: extrusion force > material moisture content > size. Through the simulating excellent-choosing equation, the best parameter combination under the simulation experiment conditions was obtained as follows: extrusion force was 5.47 kN, the material moisture content was 16.96%, size was 6.34mm, the density of the granulation was 1.241g/cm3. The results can provide academic guidance for improving the quality of alfalfa pellet or other granular products. |
| Keywords: | processing control optimization regression analysis granulated alfalfa pelleting process simulation quadratic regression orthogonal rotational combining design parameter |
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