动态图像颗粒分析法在豆粕粉碎粒度及粒度分布测定中的应用  

The application of dynamic image analysis in soybean particle size and distribution of measurement

作　　者：张燕鸣[1] 杨秀娟[1] 曹志勇[2] 高映红 白迪文 曹胜雄 吕朝金 贺德永 陶琳丽[1] 

机构地区：[1]云南农业大学动物科学技术学院云南省动物营养与饲料重点实验室,云南昆明650201 [2]云南农业大学基础与信息工程学院,云南昆明650201 [3]昆明云岭广大种禽饲料有限公司,云南昆明650000 [4]云南省普洱市墨江县龙潭乡畜牧兽医工作站,云南墨江664811

出　　处：《饲料工业》2016年第3期5-9,共5页Feed Industry

基　　金：国家高技术研究发展专项(863计划)项目[2011AAI00305]武定鸡营养需要量研究

摘　　要：文章将动态图像法引入到豆粕粉碎粒度的评价中,旨在为饲料粉碎粒度的研究提供了一种新的评价方法。用SFSP56×40锤片粉碎机,在4.50、6.00 mm和8.00 mm 3种筛片规格条件下,粉碎水分含量为12%的豆粕,应用BT-2900干法图像粒度粒形分析系统测定其粒度大小、粒度分布和颗粒形态。结果表明,通过这3种筛孔直径粉碎的豆粕最大粒径分别为2 875、3 432、3 652μm,与筛片孔径4 500、6 000μm和8 000μm偏差分别为1 625、2 568μm和4 348μm,且3种豆粕粒度基本都在3 000μm以内,分别占100%、99.57%和99.54%,重量几何平均直径分别为668.00、676.86μm和689.78μm。3种筛孔条件下的豆粕颗粒形态基本一致。综上所述,3种孔径筛片获得的豆粕粉碎粒度相近,应用动态图像法测定豆粕粒度及粒度分布,操作简便、快速、结果准确。The paper introduce a dynamic imaging method to evaluate the particle size of soybeangrinding, grinding study aims to feed particle size provides a new evaluation method. through the BT-2 900 dry image size grain shape analysis system were determined size、particle size distribution and par-ticle morphology of water content 12% soybean after hammer grind by 4.50 mm, 6.00 mm and 8.00 mmsieve diameter, the results showed that the largest soybean particle size and dgw was 2 875 μm, 3 432 μm,3 652 μm and 668,00 μm, 676.86 μm, 689.78 μm grind by the 3 sieve,have large deviation for 4 500 μm、6 000 μm and 8 000 μm,were 1 625 μm, 2 568 μm and 4 348 μm, sieve diameter by 3 groups of soy-bean the vast majority of the particles are less than 3 000 μm, accounting for 100%, 99.57% and99.54%,soybean particle morphology under 3 conditions are basically the same mesh. In summary thesoybean particle size and particle size distribution was similar by three sieve diameters.dynamic imagemethod is simple,rapid and accurate in determining particle size.

关 键 词：动态图像法 饲料粒度 粒度分布 豆粕 

分 类 号：S816.17[农业科学—饲料科学]