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Size reduction in feed technology and methods for determining, expressing and predicting particle size: A review

机译:馈电技术的大小减少以及用于确定,表达和预测粒度的方法:综述

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Particle size of diets or ingredients plays an important role in pig growth and gut health. The way the size of particles is measured and expressed, however, is limited in explaining pig growth performance differences. This review explores new possibilities to determine, express and predict particle size. Different grinding methods, including the use of roller mills, hammer mills, multicracker and multi-stage grinding were reviewed. Roller milling tends to produce a more uniform particle size distribution (PSD) and consumes less energy, whilst hammer mills have a greater grinding capacity and a higher reduction ratio compared to roller mill. The multicracker system, a more recently developed technology, can be considered cost-effective and ensures grinding capacity. Since the effects of different grinding methods vary, multi-stage grinding, combining different grinding methods, might be a solution to obtain a defined PSD. Particle size determination techniques, including dry/wet sieving, laser diffraction, microscopy, and static/ dynamic image analysis are described and compared. It is concluded that more characteristics of particles (e.g. shape, volume or surface area) should be investigated. Besides geometric mean diameter (GMD), particle size can also be expressed with parameters such as D-50, D-4,D-3 and span of PSD. Equivalent particle size (EPS) is introduced as a mean of describing the size of particles related to a functional trait of the particles. A meta-analysis was performed by collecting particle size and pig performance data from scientific studies examining the effect of recalculated EPS on pig performance (feed conversion ratio, FCR). Regression/linear modelling shows that recalculated EPS was not better than GMD in explaining pig performance differences due to the high variation among studies. Different expressions of PSD may result in different conclusions. An introduction of describing the breaking behavior of diet ingredients via mathematical models is provided. The development in breakage functions of wheat in roller milling in food preparations indicates that breakage functions are applicable in predicting the output PSD. Functions may also be extended to diet ingredients to be ground in animal feed manufacture. In feed manufacturing diagrams, particle size reduction for downstream processes (e.g. pelleting, extruding, expander processing) should be taken into account when the relationship between pig performance and particle size of diets is investigated. In conclusion, the determination, expression and prediction of particle size can be a new direction for controlling the grinding process in the feed mill to better explain its relationship with pig performance.
机译:饮食或成分的粒度在猪生长和肠道健康中起着重要作用。然而,测量颗粒尺寸和表达的方式是有限的,用于解释猪生长性能差异。此述评探讨了确定,快递和预测粒子大小的新可能性。综述了不同的研磨方法,包括使用辊磨机,锤磨机,多磨机和多级研磨。滚轮铣削倾向于产生更均匀的粒度分布(PSD)并消耗较少的能量,而锤磨机与辊磨机相比具有更大的研磨能力和更高的减少率。多次磨机系统,最近开发的技术,可考虑成本效益并确保磨削容量。由于不同研磨方法的影响变化,多级研磨,组合不同的研磨方法,可以是获得定义的PSD的溶液。粒度测定技术,包括干/湿筛分,激光衍射,显微镜和静态/动态图像分析。结论是,应研究更多的颗粒的特征(例如,形状,体积或表面积)。除了几何平均直径(GMD)之外,粒度也可以用参数表示,例如D-50,D-4,D-3和PSD的跨度。将等同的粒度(EPS)引入描述与颗粒功能性状有关的颗粒尺寸的平均值。通过从科学研究中收集粒度和猪性能数据来进行META分析,检查重新计算的EPS对猪性能(饲料转化率,FCR)的影响。回归/线性建模表明,由于研究中的高变化,重新计算的EPS并不比GMD更好。 PSD的不同表达可能导致不同的结论。提供了通过数学模型描述饮食成分的断裂行为的介绍。在食品制剂中辊铣刀中小麦的破损功能的开发表明,破损功能适用于预测输出PSD。功能也可以扩展到动物饲料制造中的饮食成分。在饲料制造图中,在研究猪性能与饮食粒度之间的关系时,应考虑下游工艺的粒度降低(例如颗粒,挤压,膨胀机加工)。总之,粒度的确定,表达和预测可以是用于控制进料磨机中研磨过程的新方向,以更好地解释其与猪性能的关系。

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