We introduce a novel technique to automatically decompose an input object's volume into a set of parts that can be represented by two opposite height fields. Such decomposition enables the manufacturing of individual parts using two-piece reusable rigid molds. Our decomposition strategy relies on a new energy formulation that utilizes a pre-computed signal on the mesh volume representing the accessibility for a predefined set of extraction directions. Thanks to this novel formulation, our method allows for efficient optimization of a fabrication-aware partitioning of volumes in a completely automatic way. We demonstrate the efficacy of our approach by generating valid volume partitionings for a wide range of complex objects and physically reproducing several of them.

Volume decomposition for two-piece rigid casting

Alderighi T;Malomo L;Cignoni P;
2021

Abstract

We introduce a novel technique to automatically decompose an input object's volume into a set of parts that can be represented by two opposite height fields. Such decomposition enables the manufacturing of individual parts using two-piece reusable rigid molds. Our decomposition strategy relies on a new energy formulation that utilizes a pre-computed signal on the mesh volume representing the accessibility for a predefined set of extraction directions. Thanks to this novel formulation, our method allows for efficient optimization of a fabrication-aware partitioning of volumes in a completely automatic way. We demonstrate the efficacy of our approach by generating valid volume partitionings for a wide range of complex objects and physically reproducing several of them.
2021
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Inglese
40
6
14
https://dl.acm.org/doi/abs/10.1145/3478513.3480555
Sì, ma tipo non specificato
Double height field
Volumetric decomposition
Casting
5
info:eu-repo/semantics/article
262
Alderighi, T; Malomo, L; Bickel, B; Cignoni, P; Pietroni, N
01 Contributo su Rivista::01.01 Articolo in rivista
partially_open
   MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and Modeling
   MATERIALIZABLE
   H2020
   715767
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/399648
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