Varnik, F.: Can microscale wall roughness trigger unsteady/chaotic flows ? 5th International Workshop on Complex Systems, American Institute of Physics, Sendai, Japan (2007)
Varnik, F.: Two-dimensional lattice Boltzmann studies of the effects of wall roughness/channel design on the flow at moderate Reynolds numbers. IUTAM Symposium on Advances in Micro-& Nanofluidics, Dresden, Germany (2007)
Varnik, F.: Lattice Boltzmann studies of binary liquids and liquid-vapor systems beyond equilibrium. Leibniz Institute for Polymer Research, Dresden, Germany (2007)
Varnik, F.: A comprehensive introduction to lattice Boltzmann methods in materials science and engineering. Fritz-Haber Institut der Max-Planck Gesellschaft, Berlin, Germany (2007)
Varnik, F.: Non linear rheology and dynamic yielding in a simple glass: A molecular dynamics study. School of Physics, University of Edinburgh, UK (2006)
Varnik, F.: Chaotic lubricant flows in metal forming: Some new insights from lattice Boltzmann simulations. Seminar Talk at MPI für Eisenforschung GmbH, Düsseldorf, Germany (2006)
Varnik, F.: Lattice Boltzmann simulations of moderate Reynolds number flows in strongly confined channels: The role of the wall roughness. Massachussets Institute of Technology (MIT), Boston, MA, USA (2006)
Varnik, F.: MD simulations of steady state yielding in a simple glass. 31st Middle Euoropean Cooperation on Statistical Physics (MECO31), Primošten, Croatia (2006)
Varnik, F.: Rheological response of a model glass: Theory versus computer simulation. 2nd International workshop on dynamics in viscous liquids, Mainz, Germany (2006)
Varnik, F.; Raabe, D.: Lattice Boltzmann studies of flow instability in microchannels: The role of the surface roughness/topology. Laboratoire de Physique et de la Matiere Condensee et Nanostructure, Universite Claude Bernard, Lyon1, France (2005)
Varnik, F.: Complex rheology of simple systems: Shear thinning, dynamic versus static yielding and flow heterogeneity. CECAM-Workshop on Simulating deformed glasses and melts: From simple liquids to polymers, Lyon, France (2005)
Varnik, F.: Rheology of dense amorphous systems: Recent theories versus molecular dynamics simulations. 5th International Discussion Meeting on Relaxation in Complex Systems, Lille, France (2005)
Magnetic properties of magnetocaloric materials is of utmost importance for their functional applications. In this project, we study the magnetic properties of different materials with the final goal to discover new magnetocaloric materials more suited for practical applications.
Laser Powder Bed Fusion (LPBF) is the most commonly used Additive Manufacturing processes. One of its biggest advantages it offers is to exploit its inherent specific process characteristics, namely the decoupling the solidification rate from the parts´volume, for novel materials with superior physical and mechanical properties. One prominet…
The aim of the Additive micromanufacturing (AMMicro) project is to fabricate advanced multimaterial/multiphase MEMS devices with superior impact-resistance and self-damage sensing mechanisms.
We have studied a nanocrystalline AlCrCuFeNiZn high-entropy alloy synthesized by ball milling followed by hot compaction at 600°C for 15 min at 650 MPa. X-ray diffraction reveals that the mechanically alloyed powder consists of a solid-solution body-centered cubic (bcc) matrix containing 12 vol.% face-centered cubic (fcc) phase. After hot compaction, it consists of 60 vol.% bcc and 40 vol.% fcc. Composition analysis by atom probe tomography shows that the material is not a homogeneous fcc–bcc solid solution
Local lattice distortion is one of the core effects in complex concentrated alloys (CCAs). It has been expected that the strength CCAs can be improved by inducing larger local lattice distortions. In collaboration with experimentalists, we demonstrated that VCoNi has larger local lattice distortions and indeed has much better strength than the…
This project is a joint project of the De Magnete group and the Atom Probe Tomography group, and was initiated by MPIE’s participation in the CRC TR 270 HOMMAGE. We also benefit from additional collaborations with the “Machine-learning based data extraction from APT” project and the Defect Chemistry and Spectroscopy group.
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization as in micropillar compression. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one.…
In this project we pursue recent developments in the field of austenitic steels with up to 18% reduced mass density. The alloys are based on the Fe-Mn-Al-C system.