XDEM多物理场与多尺度模拟技术：DEM-CFD耦合、方法论与工程应用综述
The XDEM Multi-physics and Multi-scale Simulation Technology: Review on DEM-CFD Coupling, Methodology and Engineering Applications
AI总结：
本文综述了XDEM多物理场与多尺度模拟技术，结合欧拉和拉格朗日方法，拓展了DEM与CFD的耦合应用，用于颗粒物热力学状态预测，应用于制药、农业、采矿等多个领域。
摘要：
XDEM多物理场与多尺度模拟平台基于扩展离散元方法（XDEM）开发，结合欧拉和拉格朗日方法，通过耦合预测工具建立新一代多物理场与多尺度模拟工具。欧拉方法代表连续模型，如CFD或FEA，而拉格朗日方法用于离散相。XDEM通过优化算法预测颗粒轨迹及热力学状态，应用于制药、农业、采矿等多个领域。
英文摘要：
The XDEM multi-physics and multi-scale simulation platform roots in the Ex- tended Discrete Element Method (XDEM) and is being developed at the In- stitute of Computational Engineering at the University of Luxembourg. The platform is an advanced multi- physics simulation technology that combines flexibility and versatility to establish the next generation of multi-physics and multi-scale simulation tools. For this purpose the simulation framework relies on coupling various predictive tools based on both an Eulerian and Lagrangian approach. Eulerian approaches represent the wide field of continuum models while the Lagrange approach is perfectly suited to characterise discrete phases. Thus, continuum models include classical simulation tools such as Computa- tional Fluid Dynamics (CFD) or Finite Element Analysis (FEA) while an ex- tended configuration of the classical Discrete Element Method (DEM) addresses the discrete e.g. particulate phase. Apart from predicting the trajectories of individual particles, XDEM extends the application to estimating the thermo- dynamic state of each particle by advanced and optimised algorithms. The thermodynamic state may include temperature and species distributions due to chemical reaction and external heat sources. Hence, coupling these extended features with either CFD or FEA opens up a wide range of applications as diverse as pharmaceutical industry e.g. drug production, agriculture food and processing industry, mining, construction and agricultural machinery, metals manufacturing, energy production and systems biology.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
