Analysis, modeling and simulation of quasistatic compressive stressing behavior of bonded model pellets

本项目的主要目的是对不同结构、尺寸和形状的模型颗粒的压缩和断裂行为进行实验研究、建模和模拟。造粒在许多行业中用于改善各种材料的流动性、剂量和降低堆密度。这就需要彻底研究颗粒及其特性。尽管在该领域进行了许多研究，但仍然存在许多未解决的工程问题：-在颗粒性质的形成过程中粘合剂（类型、浓度和体积）的未解释的影响，-缺乏描述颗粒在机械应力下的变形的模型，-在压缩和冲击过程中颗粒的材料、尺寸和形状的未知影响。为了找到一个合适的解决这些问题的方法，有必要进行实验研究，并开发数值工具来模拟规则和随机颗粒结构的物理状态和力学行为。本项目的目标是更好地了解球团矿中的微观-宏观相互作用，研究球团矿过程中的作用过程变量及其对球团矿性能的影响，并通过离散单元法（DEM）模拟这种影响。应彻底分析由于工艺参数（如粘合剂浓度、转速、在工艺室中的停留时间）的变化而导致的模型颗粒的变化。利用离散元模型，可以模拟和模拟过程变量与颗粒特性之间的关系。

The main object of this project is to experimentally investigate, model, and simulate the compression and fracture behaviour of model-pellets with different structures, sizes and shapes. The pelletizing is used in many industries to improve the flow behaviour, the dosage and to reduce the bulk density of various materials. This creates the need to investigate the pellets and their properties thoroughly. Despite the many investigations in the area, there are still many unsolved engineering problems: - unexplained influence of the binder (type, concentration and volume) in the formation process of the pellet properties, - lack of models to describe the deformation of the pellets at mechanical stressing, - unknown influence of the material, size and shape of the pellets at processes of compression and impact. In order to find a suitable solution to these problems, it is necessary to proceed with the experi-mental studies and to develop numerical tools to model the physical state and the mechanical behaviour of regular and random pellet structures. The goal of this project is to acquire a better understanding of the micro-macro interactions in the pellets, to investigate the acting process variables in a pelletizing process and their influence on the pellet properties and to model this influences by Discrete Element Method (DEM) to model. The changes in the model pellets due to the variation of the process parameters such as binder concentration, rotational speed, residence time in the process chamber should be thoroughly analysed. Using the DEM the relationship between the process variables and the particle properties should be modelled and simulated.