Worst-Case Non-parametric Shape Optimization

Yu Xing

doi:10.1145/3841629

Worst-Case Non-parametric Shape Optimization

2024-09-14

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DOI：10.1145/3841629

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The advancements in low-cost manufacturing hardware have enabled inexperienced users to create 3D product prototypes in-house. As a common issue, however, the resulting 3D models, despite their aesthetic appeal, often lack the structural integrity required for practical use. While there has been significant research into automated shape adjustment techniques, these methods rely on additional inputs such as parametric representations and specific external load conditions, making them inaccessible to novice users. To address this challenge, we propose a shape optimization technique that does not require extra inputs. Starting from a target shape represented by a general 3D mesh, our method aims to produce an optimized shape that is both visually consistent and structurally more robust.

Keywords:

Shape Optimization

Stress Minimization

3D Printing

Worst-Case Non-parametric Shape Optimization

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