Synthesizing of realistic model textures of mineral raw materials based on quantitative characteristic numbers of the texture as basis for the simulation of comminution processes

基于纹理的定量特征数合成矿物原料的真实模型纹理作为通信过程模拟的基础

• 批准号: 320596194
• 负责人: Professor Dr.-Ing. Holger Lieberwirth
• 金额: --
• 依托单位: Institut für Aufbereitungsmaschinen
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2016
• 资助国家: 德国
• 起止时间: 2015-12-31 至 2019-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/320596194?language=en
• 关键词: Synthesizing; realistic; model; textures; mineral

The importance of simulation based research increases also in the field of mineral processing technology considering the limited resources for research with machinery on one hand and more and more powerful computer technology at attractive prices on the other hand. Particularly, in the field of comminution technology, known empirical and partly empirical research methods were replaced or supplemented by the specific use of simulation methods. Parallel to the simulation approaches regarding the liberation of valuable minerals, particularly the Discrete-Element-Method has emerged as an accepted tool With regard to the comminution technology, simulations that use so called Bonded Particle models (BPM) within DEM environments seems to be the best choice. However, the number of simulations of comminution behavior is still small and their significance is limited. One reason for this is certainly that so far no sufficiently clear correlations between the parameters of the DEM model on one side and the binding mechanisms of real particles on the other side were found. Furthermore, the literature still shows no adequate method to realistically transfer microstructures of natural mineral raw materials into the simulation environment. However, in order to develop effective processing technologies using simulation tools, the material and mineralogical properties of quantitatively analyzed structures have to be mapped statistically representative by the model. Without these fundamentals, the robustness of the statements derived from the models is limited. The aim of the project is therefore, to realistically map hard rocks and ores on the basis of the quantitative microstructural analysis developed at the Institute of Mineral Processing Machines into a Bonded-Particle-based DEM model. Moreover, the mapping has to involve all determined characteristics of the mineral structure. In addition, the micro hardness and fracture toughness of the minerals have to be considered in order to define the bonding parameters between the discrete elements. By combining a Bonded Particle Model, which represents the grain structure realistically, with strength parameters that are mineral specific, a significantly higher prognostic accuracy of DEM models for hard rocks and ores is expected.

考虑到机械研究的资源有限，以及越来越强大的计算机技术和诱人的价格，基于仿真的研究在矿物加工技术领域的重要性也在增加。特别是在粉碎技术领域，已知的经验和部分经验的研究方法被具体使用的模拟方法所取代或补充。关于有价值的矿物的释放的模拟方法，特别是离散元方法已经成为一种公认的工具。关于粉碎技术，在DEM环境中使用所谓的结合粒子模型（BPM）的模拟似乎是最好的选择。然而，对粉碎行为的模拟数量仍然很少，其意义有限。造成这种情况的一个原因肯定是，到目前为止，还没有发现一边的DEM模型参数与另一边的真实粒子的结合机制之间足够明确的相关性。此外，文献中仍然没有足够的方法将天然矿物原料的微观结构真实地转移到模拟环境中。然而，为了利用模拟工具开发有效的处理技术，必须通过模型绘制具有统计代表性的定量分析结构的材料和矿物学性质。没有这些基本原则，从模型中得出的结论的稳健性是有限的。因此，该项目的目的是，在矿物加工机械研究所开发的定量微观结构分析的基础上，将坚硬的岩石和矿石绘制成基于粘结颗粒的DEM模型。此外，测绘必须涉及矿物结构的所有确定特征。此外，为了确定离散元素之间的结合参数，必须考虑矿物的显微硬度和断裂韧性。通过结合实际反映颗粒结构的粘结颗粒模型和矿物特有的强度参数，可以显著提高硬岩和矿石的DEM模型的预测精度。