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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 被引量:4

The application of dynamic image analysis in soybean particle size and distribution of measurement
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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.
出处 《饲料工业》 北大核心 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
关键词 动态图像法 饲料粒度 粒度分布 豆粕 dynamic image method feed particle particle size distribution soybean
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