The district heating of the future as a central component of a sustainable energy system requires new control concepts as well as communicative approaches. With our software tool »AD-Net District Heating«, we at the Fraunhofer ITWM dynamically simulate and optimize the operation of heating networks in real time.
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With the EMMA4Drive project, our researchers of the Fraunhofer Institute for Industrial Mathematics ITWM are further developing the dynamic human model EMMA for use in fully or partially autonomous driving vehicles.
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When delving into numerical analysis, particularly in the realm of Finite Elements (FEs), one encounters several difficulties and hurdles associated with the central step of discretizing the underlying problem. In a two-phase interdisciplinary DFG research project, a robust numerical method was therefore developed that combines Isogeometric Analysis (IGA) and the Scaled Boundary Finite Element Method (SB-FEM) for modelling complex geometries in linear and non-linear solid mechanics.
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Together with four partners, our researchers at the Fraunhofer ITWM are investigating the effects of fibre distribution in wood-based insulation materials in the project »Oho: Optimization of Wood-Fibre Based Insulation Materials« with the aim of improving thermal insulation. The aim is to achieve a thermal conductivity of less than 35 W/K. The project is funded by the Federal Ministry of Education and Research (BMBF).
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ALMA Project’s novel lightweight, efficient and sustainable Battery Electric Vehicle (BEV) structure for passenger cars promises major strides in the EU’s green road transport transition away from fossil fuels. The ALMA BEV body-in-white (BiW) is 22 percent lighter than the baseline design, resulting in a 24 percent reduction in carbon emissions for the BiW and a corresponding 9 percent reduction for the entire car over the vehicle’s entire service life.
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With respect to the in-silico modeling and simulation, a major challenge lies in the well-posed and numerically efficient coupling of the processes at the cell level with the macroscopic behavior and the mechanical properties of the tissue. The active processes at the cell level, such as cell differentiation and matrix synthesis, have a strong impact on the resulting tissue structure and quality, while macroscopic effects in turn are important stimuli for the processes at the microscopic level. Moreover, the time scales of the different processes differ vastly and call for appropriate co simulation strategies.
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Machine Learning helps us almost everywhere in the modern world, but technical and data protection challenges often need to be clarified first. One solution is Federated Learning! The Machine Learning model is trained decentrally on local devices, which guarantees better data protection and security.
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Who is at the conference this week? Our colleagues are currently at the Annual Meeting of the Association of Applied Mathematics and Mechanics from 18 March to 22 March in Magdeburg, Germany.
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In the project »BordNetzSim3D«, everything revolves around the optimization of on-board power supply processes. Digital twins and simulation software for cable design form the basis of the research project.
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At this year’s annual meeting of the Society for Operations Research (GOR) on August 30, 2023, Prof. Dr. Anita Schöbel received the GOR Science Award. The award is the most important prize awarded by the society and recognizes a scientist every two years for exceptional achievements in developing the focus of »Operations Research«. Schöbel is director of the Fraunhofer Institute for Industrial Mathematics ITWM and professor at the Rhineland-Palatinate Technical University Kaiserslautern-Landau RPTU.
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