英语翻译The structure of granules or agglomerates is defined as

英语翻译
The structure of granules or agglomerates is defined as the spatial
arrangement of its basic components [18].The basic components are
primary particles,binder or liquid components and intra particle
porosity.The quantification of granule structure is crucial for setting
up processing maps and input data for simulations such as DEM and
computational modelling.The used technique should capture at least
the amounts of the basic components.This is especially the porosity of
granules.At a more detailed level,size of the spatial phases is of
interest.Last but not least the distribution through the granule
volume defines its homogeneity and its composite behaviour.
Recently a number of investigators have characterised the internal
granule structure by acquiring internal structure images and analyzing
them by image analysis techniques [15,18–22].
The spatial distribution of elements inside a granule has been
described as the correlation between two points of the same or
different phases in 2D [18].The amount of the constituents,their size
and arrangement quantify the granule structure.These can be
measured by using chord length distribution and covariance function.
The volumetric pore size distribution of a granule inferred from X-ray
images has been estimated by the Faber et al.[19],using an algorithm
described by Russ and Dehoff [23].Kosek et al.[20] used a phase
function,defined by Adler [24] to represent the internal structure of
porous/multiphase media and spatial distribution of phases that form
the medium.By definition,only one phase can be present at any point.
The representation of a structure by means of the phase functions has
several advantages:(i) the phase functions can be obtained from
images of real structures by adjusting the threshold level; (ii) they
bear full information about the spatial distribution of all distinguishable
phases inside the structure; and (iii) they serve as input data for
the evaluation of structure descriptors; (iv) encoding by the phase
functions makes it easy to carry out further simulations of physical
processes that modify the structure,such as drying [25],solidification
[21] or dissolution [15].
A radial grey intensity profile of granules obtained by X-ray has
been presented by Barrera-Medrano et al.[22] as an indication of the
internal structure of granules in 2D space.Barrot et al.[26] have
presented a new method whereby shape descriptors for granular
particles in 3D could be obtained from 2D images,based on the
development of an automated 3D particle shape and structure
synthesis algorithm using a tomographic reconstruction technique.

团聚的颗粒或结构定义为空间布局的基本组成部分[18]. 基本组件是初级粒子,粘结剂或液体成分和内部粒子的孔隙率. 颗粒结构的量化设置,如数字高程模型和计算模型模拟加工图和输入数据的关键. 所用的技术应该捕获的基本组成部分至少数额. 这是特别是颗粒的孔隙率. 在更详细的级别,分阶段的空间大小的兴趣. 最后但并非最不重要的,通过定义其颗粒体积分布均匀性及其复合材料的行为. 最近一个调查数字有特点的内部结构图像的获取和分析这些图像分析技术[15,18-22]内部团粒结构. 该元素的空间内颗粒分布已被描述为两个相同或不同阶段分在2D [18]的相关性. 该成分的数量,其规模和安排量化团粒结构. 这些可以测量采用弦长分布与协方差函数. 孔隙的体积从X射线图像推断一粒度分布,估计由费伯等人. [19],使用由Russ和德霍夫[23]中描述的算法. Kosek等. [20]利用相位函数,由阿德勒[24]定义为代表的多孔/多相介质和阶段,形成了中等的空间分布的内部结构. 根据定义,只有一个阶段可以在任何时候存在. 一个由相位函数意味着结构表示有几个优点：（一）相位函数可以从实际结构图像通过调整阈值水平;（ii）他们承担大约区分阶段的所有空间分布的全部信息内部结构;及（iii）他们充当评价的结构描述的输入数据;（四）由相位函数编码可以很容易地进行物理过程的模拟,进一步修改,如干燥[25]结构, ,凝固[21]或解散[15]. 径向灰用X射线得到颗粒强度的个人资料已提交巴雷拉-梅德拉诺等. [22]作为在二维空间颗粒的内部结构的指示. 巴罗等人. [26]提出了一种新方法的基础上,自动3D粒子形状和结构化综合算法开发利用层析重建技术,使颗粒的三维形状描述粒子可以从获得的二维图像.