Nano Science and Technology InstituteNano Science and Technology Institute
Nano Science and Technology Institute 2005 NSTI Nanotechnology Conference & Trade Show
Nanotech 2005
Bio Nano 2005
Business & Investment
Nano Impact Workshop
Program
Sessions
Sunday
Monday
Tuesday
Wednesday
Thursday
Index of Authors
Index of Keywords
Keynote Presentations
Confirmed Speakers
Participating Companies
Industry Focus Sessions
Nanotech Expo
Special Symposia
Conferences
Sponsors
Exhibitors
Venue 2005
Organization
Press Room
Subscribe
Site Map
Nanotech 2005 At A Glance
Nanotech Proceedings
Nanotechnology Proceedings
Global Partner
nano tech
Supporting Organizations
Nanotech 2005 Supporting Organization
Media Sponsors
Nanotech 2005 Medias Sponsors
Event Contact
696 San Ramon Valley Blvd., Ste. 423
Danville, CA 94526
Ph: (925) 353-5004
Fx: (925) 886-8461
E-mail:
 
 

Parameter Preserving Model Order Reduction of a Flow Meter

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

Keywords:
model order reduction, mor, multivariant, parameter, compact model, convection

Abstract:
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 to compute one special case. If any changes to the model are made, e.g. boundary conditions are changed, a new reduction step is necessary. To generate compact models for system simulation it is indispensable, that the reduced model leaves some parameter for the engineer to set. In this paper we describe an approachfor a parameter preserving model reduction, e.g. a reduction technique that preserves parameters defined in the original model during the reduction step. To demonstrate this technique we chose the example of an anemometer where we compute conductive and convective heat flow, modeled using a forced convection approach and dicretized with finite elements. We show that we are able to generate reduced models of order typically about 50 that leave the fluid speed as an input parameter and that show very good accuracy compared to the original model. While the resources needed to generate this reduced model are comparable to theresources needed for a steady state solution of the original model, we achive tremendous speed increase when comparing the transient and harmonic simulations of the reduced and the full model.

Back to Program

Sessions Sunday Monday Tuesday Wednesday Thursday Authors

Nanotech 2005 Conference Program Abstract

 
Gold Sponsors
Nanotech Gold Sponsors
Silver Sponsors
Nanotech Silver Sponsors
Gold Key Sponsors
Nanotech Gold Key Sponsors
Nanotech Ventures Sponsors
Nanotech Ventures Sponsors
Sponsors
Nanotech Sponsors
News Headlines
NSTI Online Community
 
 

© Nano Science and Technology Institute, all rights reserved.
Terms of use | Privacy policy | Contact