High-performance computing cluster

机械加工工程和材料加工系主任的研究重点是使用离散单元法(DEM)及其与数值流动模拟(CFD)的耦合等方法对颗粒系统进行建模和模拟。对于后者，采用了体积平均和雷诺平均的Navier-Stokes方程(RANS)或应用格子Boltzmann方法(LBM)和光滑粒子流体力学(SPH)。在这种情况下，离散元方法已经是一个计算密集的过程，如果考虑非球形颗粒形状或考虑范围小至1微米的颗粒，则数值复杂性随颗粒数量的增加而增加。与DEM耦合的流动模拟变得特别复杂，如果考虑用相应数量的单元对大区域进行体积平均，流体相的描述是离散的(例如，在SPH中)，或者打算对含有颗粒的流动进行直接数值模拟(DNS)(例如，在LBM或SPH中)，因此开发闭合方法越来越需要这种方法。关于上述方面，机械工艺工程与材料加工系主任的一个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，提供本地计算资源对于执行直接测试以及具有相应并行化的应用程序至关重要，而并行化是不能分配的。考虑到这一点，本提案申请扩展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系统执行的数据管理。所要求的延期使机械工艺工程和材料加工主席能够在不受分辨率限制的情况下处理有关富含颗粒的多相流的面向未来的数值问题，从而改进工艺，澄清富含颗粒的流动的基本原理，特别是开发和扩展新的数值方法，以改进对上述系统的描述。

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.