Korvink J.G. – TechConnect Briefs

Parameter Preserving Model Order Reduction of a Flow Meter

Moosmann C., Rudnyi E.B., Greiner A., Korvink J.G., Hornung M., IMTEK, University of Freiburg, DE

Model order reduction is known to work reliably for MEMS simulations and can beused to speed up transient and harmonic computations tremendously. However, using standard model reduction techniques the generated reduced models are only able [...]

Modelling Micro-Rheological Effects in Micro Injection Moulding with Dissipative Particle Dynamics

Kauzlaric D., Greiner A., Korvink J.G., University of Freiburg, Germany, DE

It will be demonstrated how Dissipative Particle Dynamics (DPD), a particle based simulation method, can contribute to the rheological study of fluids in micro-cavities, e.g. in Micro Injection Moulding. It is already known that DPD [...]

Error Estimation for Arnoldi-based Model Order REduction of MEMS

Bechtold T., Rudnyi E.B., Korvink J.G., University of Freiburg, Germany, DE

In this paper we present a heuristic error estimation for the Pade-type approximation of transfer function via Arnoldi algorithm. We suggest using the solution of the Lyapunov equations for reduced-order systems as a stop-criterion in [...]

MEMS Compact Modeling Meets Model Order Reduction: Examples of the Application of Arnoldi Methods to Microsystem Devices

Lienemann J., Billger D., Rudnyi E.B., Greiner A., Korvink J.G., IMTEK, Albert Ludwig University, DE

Modeling and simulation of the behavior of a system consisting of many single devices is an essential requirement for the reduction of design cycles in the development of microsystem applications. Analytic solutions for the describing [...]

mor4ansys: Generating Compact Models Directly From ANSYS Models

Rudnyi E.B., Lienemann J., Greiner A., Korvink J.G., IMTEK, Albert Ludwig University, DE

Model reduction of linear large-scale dynamic systems is already quite an established area [1]–[3]. In a number of papers (see references in [3]), the advantages of model reduction have been demonstrated. In the present paper, [...]

Galilean Invariant Viscosity Term for an Athermal Integer Lattice Boltzmann Automaton in three Dimensions

Geier M.C., Greiner A., Korvink J.G., IMTEK, Albert Ludwigs University Freiburg im Breisgau, DE

The athermal lattice Boltzmann automata (LBA) are promising replacements for Navier Stokes solvers in computational fluid dynamics (CFD). They are inherently parallel, scale exactly linear with the number of computational elements and can be applied [...]

Krylov-Subspace-Based Order Reduction Methods Applied to Generate Compact Thermo-Electric Models for MEMS

Bechtold T., Salimbahrami B., Rudnyi E.B., Lohmann B., Korvink J.G., IMTEK, University of Freiburg, DE

A high power dissipation density in todays miniature electronic/mechanical systems makes on-chip thermal management very important. In order to achieve quick to evaluate, yet accurate thermo-electric models, needed for the thermal management of microsystems, a [...]

Electrode Shapes for Electrowetting Arrays

Lienemann J., Greiner A., Korvink J.G., Albert Ludwig University, DE

We calculate the potential energy of an electrowetting array for different shapes and sizes of interdigital edge structures. To understand the dynamic effects at the beginning of the droplet motion is crucial for the optimization [...]

Capillary Forces in Micro-Fluidic Self-Assembly

Greiner A., Lienemann J., Korvink J.G., Xiong X., Hanein Y., Böhringer K.F., IMTEK, Albert Ludwig University, DE

Parallel self-assembly in the fluidic phase is a promising alternative technique to conventional pick-and-place assembly. In this work the hydrophobic-hydrophilic material system between binding sites for microparts is simulated with respect to alignment precision. The [...]

Optimization of Integrated Magnetic Field Sensors

Lienemann J., Greiner A., Korvink J.G., Sigmund O., Albert Ludwig University, DE

We present an optimization strategy for the offset reduction of integrated magnetic field sensors with simultaneous maximization of sensitivity. We use the topology optimization method to automatically find a design with maximal sensitivity for given [...]