Major Research Projects
Anisotropic Viscoelasticity with Neural Networks
In this project, material models for isotropic and anisotropic viscoelasticity are formulated using neural networks and calibrated with full-field data from experiments.
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SMART Bridges
The SMART Bridges project is developing an intelligent monitoring system that uses sensor networks, simulations and AI to detect and assess bridge damage at an early stage.
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DFG SPP 2489 DaMic
DaMic's goal is to research digital methods for inverse material design and to use them to develop new, sustainable and recycling-friendly metallic construction materials.
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Strain-induced crystallisation and damage
Numerical and experimental analysis of strain-induced crystallization and damage in elastomers as a result of multiaxial deformations
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Continuation DFG project on cutting of natural materials
Experimental investigation, numerical modeling, and model-based analysis of friction-affected blade-cut material contact during the separation of natural materials
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DFG FOR 5599
From the manufacturing process of structured magnetic elastomers to macroscopic material behavior
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DFG Research Training Group 2868: D3
The vision of the Research Training Group RTG 2868 D³ - Data-driven Design of Resilient Metamaterials is to develop and apply a data-driven approach to cross-scale materials discovery and design.
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Crack propagation in hydrogen tanks
Numerical and experimental analysis of permeation and cracking behavior of fiber-reinforced plastic composites with thermoplastic matrix system
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Autonomous Research
The development of new materials plays an important role in technological innovations. The focus of interest is the relationship between the process parameters, the local material structure and the resulting properties.
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DualLaser
The laser powder bed fusion of metallic powders for the production of highly stressed, individualized components is already in industrial use today. By extending the process control with a further laser, an optimization of the process is aimed at.
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LRVTwin
Reliable operation of a tramcar fleet requires knowledge of the condition of the car and track. Digital representations of both of them can be used to optimize maintenance and strengthen public transport. Machine learning makes it possible to describe those complex relationships.
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Regler 4.0
An Industry 4.0-compatible multi-channel electronic system for control tasks in testing and inspection laboratories
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DFG Residual Stresses Copper
Experimental and numerical analysis of forming-induced residual stresses for fatigue strength increase of highly cyclically loaded high-purity copper components
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COMPLETED PROJECTS
Phase-field modelling of fatigue fracture
Experimental analysis and phase-field modelling of interaction between plastic zone and fatigue crack growth in ductile materials under complex loads
Paper-Metal Sheet Composites
Paper-based lightweight composite materials for vehicle and equipment construction
SchuB
Fatigue behavior of formed sheet metal sections; investigation of the fatigue strength of functional element connections
AMTwin
Data-driven process, material and structure analysis for additive manufacturing
ePredict
Predictive Maintenance für die e-Mobilität
INDIVO
Fabrication of Individual and Load-adapted Orthoses
DFG Project Cutting of Natural materials
Modelling and Simulation of Rate dependent Fracture behaviour of Natural materials
DFG SPP 2013
Targeted use of Forming Induced Internal Stresses in Metal Components
DFG fatigue laser cutting
Simulation of the fatigue behaviour of laser-cut Fibre Reinforced
Polymers
AMARETO
Modeling of anisotropic, strongly coupled Thermo-mechanical behavior in Fiber-Reinforced Plastics
DFG SPP 1712
Intrinsische Hybridverbunde für Leichtbautragstrukturen - Grundlagen der Fertigung, Charakterisierung und Auslegung
DFG SPP 1748
Reliable Simulation Techniques in Solid Mechanics. Development of Non-standard Discretization Methods, Mechanical and Mathematical Analysis
DFG SPP 1713
Strong coupling of thermo-chemical and thermo-mechanical states in applied materials
DFG SPP 1681
Feldgesteuerte Partikel-Matrix-Wechselwirkungen: Erzeugung, skalenübergreifende Modellierung und Anwendung magnetischer Hybridmaterialien
DFG UL 121/14-1
Experimental and numerical investigation of the damage behaviour of single fibre composites
METALICA
Study of mechanical stresses during creep forming of large parts
DFG SFB 639
Textilverstärkte Verbundkomponenten für funktionsintegrierende Mischbauweisen bei komplexen Leichtbauanwendungen
BMBF Simotex
Praxisgerechte Simulationsmodelle zur virtuellen Entwicklung neuartiger Textilverbundwerkstoffe für Crash- und Impactanwendungen unter Berücksichtigung von Mikro-Meso-Makro-Interaktionen
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ECEMP
European Centre for Emerging Materials and Processes Dresden
WK-Potenzial
MERGE/NEXXT
Crack growth and residual strength tests on test structures from the aircraft fuselage parts -
Predicting the structure influences
Determination of elastic-plastic material parameters