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Session Details

CS03: Multiphysics

Friday, 13. October 2017; 08:30 - 10:30 Uhr in Raum 7.02
Sitzungsleitung: Maximilian Noll

08:30
Numerical Analysis of Virtualized Heart Models
Baris Cansiz (Technische Universität Dresden), Michael Kaliske (Technische Universität Dresden), Krunoslav Sveric (Technische Universität Dresden), Karim Ibrahim (Technische Universität Dresden), Ruth Strasser (Technische Universität Dresden)

Kurzfassung:
Our novel numerical tools simulating cardiac electromechanics will be introduced. The performance and applicability of the framework will be demonstrated through finite element simulations based on real heart geometries. We will compute left ventricular volume-time curves, pressure-volume curves and electrocardiograms. The results will be compared to real clinical data by means of LV motion. The importance of boundary conditions on LV motion will be discussed.


08:50
Simulation of the Change in Mechanical Properties of Degradable Bone Implants
Ann-Kathrin Krüger (Leibniz Universität Hannover), Stefan Julmi (Leibniz Universität Hannover), Christian Klose (Leibniz Universität Hannover), Silke Besdo (Leibniz Universität Hannover), Peter Wriggers (Leibniz Universität Hannover)

Kurzfassung:
To develop and scale degradable bone implants, it is necessary to know the change in mechanical properties of the implant during the degradation process. In this study magnesium sponge structures are being investigated. It is assumed that the magnesium degradation is governed by diffusion of magnesium ions from the surface. To simulate the degradation a numerical model including the diffusion equation was developed. The model was implemented in the commercial finite element code Abaqus/Standard.


09:10
Computation of multiphysics processes in deformable media
Bilen Emek Abali (Technische Universität Berlin)

Kurzfassung:
Micro electro-mechanical systems (MEMS) exploit the coupling between mechanics and electromagnetism. For an accurate simulation of this coupling we need a strategy to calculate deformation, temperature, and electromagnetic fields in solids, at once. By using open-source packages, we present an approach to simulate MEMS by solving nonlinear and coupled equations at once by using finite difference method in time and finite element method in space.


09:30
Experimental and Numerical Studies of Thermoelastic Damping
Christin Zacharias (Bauhaus-University Weimar), Carsten Könke (Bauhaus-University Weimar)

Kurzfassung:
The use of correct damping parameters is a decisive aspect in the numerical simulation of dynamical problems and indispensable to predict and reduce reliably vibration amplitudes. In this contribution, experimental and numerical studies to identify damping coefficients of simple geometries are presented. In the experiments the focus was set to measure the pure material damping excluding all disturbing environmental influences. In the numerical investigation, the thermoelastic approach was used.


09:50
Leakage currents in nanogenerator concepts in phase field simulations
Franziska Wöhler (Karlsruhe Institute of Technology (KIT)), Ingo Münch (Karlsruhe Institute of Technology (KIT)), Werner Wagner (Karlsruhe Institute of Technology (KIT))

Kurzfassung:
Efficient technologies for energy harvesting are in the focus of recent research. Our nanogenerator transforms parasitic mechanical oscillations into usable electric energy. If an electric field exists between electrodes, leakage currents appear if the ferroelectric ceramic is semiconducting. We focus on different formulations of leakage currents for semiconducting ceramics, usually given as scalar equations. We enhance our phase field model to account for these effects in space.


10:10
Optimal control of a slot car racer
Johann Penner (Friedrich-Alexander University of Erlangen-Nürnberg), Tristan Schlögl (Friedrich-Alexander University of Erlangen-Nürnberg), Sigrid Leyendecker (Friedrich-Alexander University of Erlangen-Nürnberg)

Kurzfassung:
Within this work, we compute and apply control strategies for the time-minimal path of a slot car racer. Here, the DMOC (Discrete Mechanics and Optimal Control) method is used to generate offline optimal trajectories for the electro-mechanically coupled system, i.e. sequences of discrete configurations and driving voltages. These sequences are embedded to a control architecture with an underling camera tracking system which allows to correct the vehicle towards the desired state via computer.