High-performance computing cluster

机械工艺工程和材料加工主席的研究重点是使用离散元法（DEM）及其与数值流模拟（CFD）的耦合等方法对颗粒系统进行建模和模拟。关于后者，体积和雷诺平均Navier-Stokes方程（RANS）的解决方案或格子玻尔兹曼方法（LBM）的应用以及光滑粒子流体动力学（SPH）的追求。在这种情况下，离散单元法已经是一个计算密集型过程，其数值复杂性取决于颗粒的数量而增加，例如，如果考虑非球形颗粒形状或考虑低至1 μm的颗粒。耦合到DEM的流动模拟变得特别复杂，如果大的域被认为是体积平均与相应数量的细胞，流体相的描述是离散的（例如在SPH）或直接数值模拟（DNS）的颗粒负载流的目的（例如在LBM或SPH），从而越来越需要开发封闭的方法。关于所列出的方面，机械工艺工程和材料加工主席的研究重点不仅是上述方法在机械工艺工程中的应用，而且特别是方法的进步。从这个意义上说，本地计算资源的提供是至关重要的，以便执行直接测试，但也具有相应的并行化，这是不能免除的应用程序。考虑到这一点，本提案适用于扩大现有的计算基础设施，从而可以令人满意地保证相应的利用率（见第3节）。- 用于研究）。在扩展中，特别考虑了通过RAID系统进行的数据管理。所要求的扩展使机械工艺工程和材料加工的主席能够在没有分辨率限制的情况下解决面向未来的颗粒多相流数值问题，从而改善工艺，澄清颗粒多相流的基本原理，特别是开发和扩展新的数值方法，以改善上述系统的描述。

The focus of research at the chair of mechanical process engineering and materials processing is the modeling and simulation of particulate systems using methods such as the Discrete Element Method (DEM) and its coupling to numerical flow simulations (CFD). Regarding the latter, the solution of volume- and Reynolds-averaged Navier-Stokes equations (RANS) or the application of the Lattice Boltzmann method (LBM) as well as of Smoothed Particle Hydrodynamics (SPH) is pursued. In this context the Discrete Element Method is already a computationally intensive process that increases in numerical complexity depending on the number of particles, if e.g. non-spherical particle shape is taken into account or particles in the range down to 1 µm are considered. The flow simulations coupled to the DEM become particularly complex if large domains are considered volume-averaged with a corresponding number of cells, the description of the fluid phase is discrete (e.g. in the SPH) or the Direct Numerical Simulation (DNS) of particle-laden flows is intended (e.g. in the LBM or the SPH), whereby this increasingly is required to develop closure approaches. Regarding the listed aspects, a focus of the research at the chair of mechanical process engineering and materials processing is not only the application of the aforementioned methods to mechanical process engineering, but also in particular the method advancement. In this sense, the provision of local computing resources is of central importance in order to perform direct testing but also application with corresponding parallelization, which cannot be dispensed. With this in mind, an expansion of the existing computing infrastructure is applied for with this proposal, whereby the corresponding utilization can be satisfactory guaranteed (see section 3. - use in research). In the expansion, the data management, which is carried out by means of a RAID system, is particularly taken into account. The requested extension enables the chair of mechanical process engineering and materials processing to address future-oriented numerical questions with regard to particle-laden multiphase flows without resolution restrictions and thus to improve processes, to clarify the fundamentals of particle-laden flows and, in particular, to develop and extend new numerical methods to improve the description of the aforementioned systems.