DFG Graduiertenkolleg 2423

PI, P11: Fracture Control by Material Optimization
Co-Pi, P10:
Configurational Fracture/Surface Mechanics
GRK2423: Fracture across scales
Coordinator: Prof. Dr.-Ing. P. Steinmann (Erlangen)

EU ITN Network POEMA (2019-2022)

Polynomial Optimization, Efficiency through Moments and Algebra

Coordinator: Prof. Dr. B. Mourrain (INRIA Sophia Antipolis, Nice)

DFG Sonderforschungsbereich 814

C2: Robuste Struktur- und Prozessoptimierung im Kontext der additiven Fertigung
SFB814: Additive Fertigung, Teilprojekt C2
Coordinator: Prof. Dr.-Ing. D. Drummer (Erlangen)

DFG Sonderforschungsbereich Transregio 154

B06: Robustification of Physical Parameters in Gas Networks
TRR254: Teilprojekt B06
Coordinator: Prof. Dr. A. Martin (Erlangen)

Additive Fertigung für das Flugzeug (ALM2AIR)

Luftfahrtforschungsprogramm(LuFo) 5-2

"Optimization of components for additive manufacturing"

This project aims to advance techniques for lattice optimization in the context of additive manufacturing using titanium alloy (Ti-6Al-4V). We study the full workflow from selection of parametrized base cells for stiffness optimization, the optimization algorithm, the interpretation of optimized results, as a macroscopic lattice design including predefined solid and void non-design regions, and the generation of a ready-to-print surface description of the lattice structure. For the field of structural optimization, the SGP (Sequential Global Programming) algorithm is advanced allowing the distinct choice between solid, void and lattice during the optimization process.

DFG Schwerpunktprogramm 1679

Dynamische Simulation vernetzter Feststoffprozesse
Modellierung, Simulation und Optimierung von Prozessketten

SPP1679: DynSim-FP

PI: Prof. Dr. G. Leugering, Coordinator: Opens external link in new windowProf. Dr. Stefan Heinrich (Hamburg)

Optimization of iron oxide Pigments (2012-2017)

The dependency of the optical properties of a pigment film and the shape or shape distribution of the pigment is studied within this project. Further, this dependency is used to identify regions in parameterized shape space which will lead to better color values of the pigment.


The interaction of electromagnetic waves and material is mathematically described by Maxwell's equations. Under the assumption of a time-harmonic incident light - which holds in the studied regime - this equations can be transformed to the well known curl-curl formulation of Maxwell's equation.
This complex vector valued equation can be solved numerically in 3D with the Nédélec FEM but, due to the high resolution one needs, it is only possible for single particles or small clusters of particles. The size of the pigment particles is in the sub micron range and the wavelength range we are interested in is 400 to 700 nm. In order to derive optical properties of a film with randomly oriented particles from single particle simulations we use a model which lies in-between the 2-Flux model derived by Kubelka and Munk and the radiative transfer equation.
With this method we are able to compute the reflectance spectra of a pigment color film with a known particle size distribution. These computed spectra show a good agreement with experimental data.
The project is funded by the DFG and the Opens external link in new windowLANXESS GmbH

Prof. Dr. Günter Leugering (Erlangen), Opens external link in new windowProf. Dr.-Ing. Wolfgang Peukert (Erlangen), Opens external link in new windowProf. Dr. Ulf Peschel (Jena), Opens external link in new windowProf. Dr. Robin N. Klupp Taylor (Erlangen), Dr. Lukas Pflug (Erlangen)

The P&G SimCenter

Master Collaboration Agreement with Procter & Gamble

Coordination: Zentralinstitut for Scientific Computing

Industrial Partners:

e.g.: Adidas, Airbus, BASF, Lanxess, Procter & Gamble, Schaeffler, Siemens, ...