Seamless Integration of Analysis and Design: Automatic CAD Reconstruction of Post-Analysis Geometries
Sebastian Hube, Roxana Pohlmann, Stefanie Elgeti

TL;DR
This paper introduces a novel CAD reconstruction method that reuses initial design data to accurately recover geometries from analysis results, preserving features and enabling seamless integration between design and analysis.
Contribution
The paper presents a new approach for CAD reconstruction that leverages initial CAD data and shape deformation splines, improving accuracy and feature preservation over existing spline-based methods.
Findings
Enables precise shape reconstruction from computational meshes.
Preserves initial design features during reconstruction.
Allows creation of watertight CAD models from deformed geometries.
Abstract
A key step during industrial design is the passing of design information from computer aided design (CAD) to analysis tools (CAE) and vice versa. Here, one is faced with a severe incompatibility in geometry representation: While CAD is usually based on surface representations, analysis mostly relies on volumetric representations. The forward pass, i.e., converting CAD data to computational meshes, is well understood and established. However, the same does not hold for the inverse direction, i.e., CAD reconstruction of deformed geometries resulting, e.g., from shape optimization. The few reconstruction methods reported mainly rely on spline fitting, in particular methods that rely on creating new splines simililar to shape reconstruction from 3D imaging. In contrast, this paper studies a novel approach that reuses the CAD data given in the initial design. We show that this concept leads…
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Taxonomy
Topics3D Shape Modeling and Analysis · Advanced Numerical Analysis Techniques · 3D Surveying and Cultural Heritage
