Centrifugal pumps are employed in various industrial and engineering applications to transport two-phase mixtures as liquid and non-condensable gas. Several examples of the two-phase pump operation can be found, e.g., in the chemical and process industry or geothermal power stations. Predicting two-phase flows in centrifugal pumps with state-of-the-art computational fluid dynamic (CFD) methods is only possible by accepting significant uncertainties.

Every year we, as the Formula Student Team of RWTH Aachen University, develop a completely new electric race car and revise a previous car to be able to drive autonomously. For our Aerodynamics team, the electric vehicle is the main focus. We try to find the best geometries for our car within the regulatory constraints and while keeping performance compromises with other design areas in mind.

Hybrid RANS/LES (HRLES) is one SRS category, which bridges the gap between RANS and LES in regard to prediction accuracy of the results and required computing resources. The HRLES methods (i.e. various Detached Eddy Simulation (DES) formulations), with RANS modelling of the flow near the wall, and eddy-resolving simulation away from the wall, are believed to represent the mixing in turbulent flows

In the joint BMWi Lufo VI project DARWIN, the Center for Information Services and High Performance Computing (ZIH) and the Chair of Turbomachinery and Aero Engines (TFA) at the TU Dresden are working in cooperation with Rolls Royce Germany on the further development, application and validation of innovative digital simulation and design methods to improve the interdisciplinary understanding of engine systems. Work includes improving load balancing of highly parallelized coupled simulation codes, measuring surface roughness and wear effects and feeding them back into simulation models, as well as applying machine learning (ML) methods to predict flow fields.

The cost of energy produced by wind turbines has been undergoing a steady reduction. Wind energy supplied 15% of the electricity demand of the European Union in 2019. Since rotor blades are the determining component for both performance and loads, they are the objective of further optimizations. To obtain high efficiencies, an increased use of special aerodynamic profiles is observed possessing large areas of low-resistance, which means laminar flow is maintained. In order to design such profiles, it is necessary to include the laminar-turbulent transition in CFD simulations of wind turbine blades. Thus, the objective of the project is to carry out high-fidelity numerical simulations of the flow around a wind turbine blade at a realistic

The spin-dependent transport phenomena in magnetic materials can provide spin-polarized charge current and large pure spin current, which could be achieved premised on two fundamental properties, i.e., anomalous Hall conductivity (AHC) and spin Hall conductivity [1]. The AHC is characterized as a generation of transverse voltage drop or current density (depending on the boundary conditions) originating from the longitudinal electric currents. The existence of finite AHC in noncollinear antiferromagnets has attracted noticeable attention due to possible applications in antiferromagnetic spintronics for information storage and data processing [2], where the kagome lattice turns out to be an intriguing prototypical lattice to host giant AHC

One approach to the realization of safer batteries relies on all solid-state batteries (ASSB) which use a non-flammable solid electrolyte (SE) instead of the commercial flammable liquid organic electrolytes. While many obstacles to the successful production of these batteries have already been overcome, the inner and outer interfaces in a real battery setup remain a major challenge. Thus, a thorough understanding of the interfacial atomistic processes is crucial, highlighting the value of interface simulations on the atomic scale. Currently, these are only possible via ab-initio methods, such as density functional theory (DFT) calculations, because no classical interatomic potentials exist, which can simultaneously describe the SE and

The energy transition is a global challenge with major economic and social impact. Future combustion devices will have to adapt to enable low-carbon or carbon-free sustainable power generation. The design of high efficiency devices and the use of alternative fuels is heavily supported by computational fluid dynamics simulation. However, detailed simulations of complete combustion systems are still computationally unfeasible to this day. This illustrates the need for accurate but less computationally demanding models. In this project, a direct numerical simulation (DNS) of turbulent flame wall interaction was conducted to provide further physical insight to near wall combustion processes and to contribute to the development of novel