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Virtual Engine and Numerical Methods (VTM)
Computational Multiphysics (CMP)
The human-caused climate change requires a transition in air transport, with the goal of zero emissions. Therefore, the group Computational Multiphysics (CMP) strives to contribute to the DLR's vision of emission-free flying. So far, the approach is followed to minimize greenhouse gases by improving efficiencies and consequent savings of fuel. This is achieved by higher combustion temperatures and pressures, which lead to higher loaded engine parts. To meet increased requirements at these engine parts advanced materials were developed, such as titanium aluminide (TiAl) or ceramic matrix composites (CMCs). Besides the aforementioned approach the use of sustainable aviation fuels (SAFs) as well as hydrogen combustion became in the meantime objectives of research and developments. These improvements effect the way the lifetime of engine parts is calculated, by giving respect to combined mechanical, thermal and corrosive loads, which is the research objective of the CMP group.
Full article
Scale Resolving Fluid Simulations (SRS)
Scale resolving flow simulations – enabled through increasing hardware performance – gain growing interest in the calculation of aero engine parts. Challenges occur with spatial and temporal discretization, boundary conditions, post processing of large data sets and validation of low scale results.
The group Scale Resolving CFD takes part in the development of the DLR-own Code TRACE, while focus lies on new scale resolving methods like Large Eddy Simulation (LES) and hybrid RANS-LES approaches. Here established Finite volume schemes as well as self-developed Discontinuous Galerkin methods are applied.
Full article
Virtual Engine Platform (VTP)
The Virtual Engine Platform group integrates all numerical methods in one platform – the virtual engine. This platform offers unique possibilities of optimization on all levels, from component level up to full engines on the basis of coupled simulations (structure-mechanical, fluid-mechanical, thermodynamical, aeroelastical). The different methods cannot be centralized. Connected by interfaces, they combine to the virtual engine, which can be adapted to be a digital twin of a particular engine and calculate key performance parameters, e.g. Performance, weight, lifetime, efficiency, lifetime and reliability.
Full article
Contact
Prof. Dr.-Ing. Stefan Reh
Acting Director
Institute of Test and Simulation for Gas Turbines
,
Head of Institute
Augsburg
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