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Research Article | Open Access

Shell stand: Stable thin shell models for 3D fabrication

School of Computer Science and Technology, Shandong University, Qingdao 266237, China
Department of Computer Science, Ben-Gurion University, Beer-Sheva 84105, Israel
Department of Computer Science, Tel-Aviv University, Tel Aviv 6997801, Israel
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Graphical Abstract

Abstract

A thin shell model refers to a surface or structure, where the object's thickness is considered negligible. In the context of 3D printing, thin shell models are characterized by having lightweight, hollow structures, and reduced material usage. Their versatility and visual appeal make them popular in various fields, such as cloth simulation, character skinning, and for thin-walled structures like leaves, paper, or metal sheets. Nevertheless, optimization of thin shell models without external support remains a challenge due to their minimal interior operational space. For the same reasons, hollowing methods are also unsuitable for this task. In fact, thin shell modulation methods are required to preserve the visual appearance of a two-sided surface which further constrain the problem space. In this paper, we introduce a new visual disparity metric tailored for shell models, integrating local details and global shape attributes in terms of visual perception. Our method modulates thin shell models using global deformations and local thickening while accounting for visual saliency, stability, and structural integrity. Thereby, thin shell models such as bas-reliefs, hollow shapes, and cloth can be stabilized to stand in arbitrary orientations, making them ideal for 3D printing.

Keywords

surface modelsthin shell modelsoptimizationbalancestability3D fabrication

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Computational Visual Media
Volume 10 Issue 4,
August 2024
Pages 643-657
DOI: 10.1007/s41095-024-0402-8
Cite this article:
Xing Y, Wang X, Lu L, et al. Shell stand: Stable thin shell models for 3D fabrication. Computational Visual Media, 2024, 10(4): 643-657. https://doi.org/10.1007/s41095-024-0402-8

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Received: 20 December 2023
Accepted: 11 January 2024
Published: 24 June 2024
© The Author(s) 2024.

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