Motivated by the need for integration of optimization results into Computer Aided Design work-
flows, in this talk the automated reconstruction of Topology Optimization results by means of
a Parametric Modeling software is investigated.
In order to extract information about the geometry that is to be reconstructed, an input mesh
representing the optimization result is segmented to identify non-organic parts and a mesh
skeleton is calculated. A novel surface and curve skeletonization approach with the advantage
of noise independence and linear time complexity in the input mesh facet count is presented.
The gathered mesh information is then used to approximate different Topology Optimization
results by feature executions in a Parametric Modeling software, imitating the way a human
would reconstruct the given geometry.
The described algorithms are then applied to a number of input geometries and the results are
discussed. Finally, future research potential is outlined.

How to join online:

You can join online via Zoom, using the following link:
https://uni-kl-de.zoom.us/j/63123116305?pwd=Yko3WU9ZblpGR3lGUkVTV1kzMCtUUT09

Referent: Alexander Schlicher, University of Kaiserslautern-Landau (RPTU)

Zeit: 11:45 Uhr

Ort: Hybrid (Room 32-349 and via Zoom)