research-article

Level-set-based partitioning and packing optimization of a printable model

Authors:

Huamin WangAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 34, Issue 6

Article No.: 214, Pages 1 - 11

https://doi.org/10.1145/2816795.2818064

Published: 02 November 2015 Publication History

Abstract

As the 3D printing technology starts to revolutionize our daily life and the manufacturing industries, a critical problem is about to e-merge: how can we find an automatic way to divide a 3D model into multiple printable pieces, so as to save the space, to reduce the printing time, or to make a large model printable by small printers. In this paper, we present a systematic study on the partitioning and packing of 3D models under the multi-phase level set framework. We first construct analysis tools to evaluate the qualities of a partitioning using six metrics: stress load, surface details, interface area, packed size, printability, and assembling. Based on this analysis, we then formulate level set methods to improve the qualities of the partitioning according to the metrics. These methods are integrated into an automatic system, which repetitively and locally optimizes the partitioning. Given the optimized partitioning result, we further provide a container structure modeling algorithm to facilitate the packing process of the printed pieces. Our experiment shows that the system can generate quality partitioning of various 3D models for space saving and fast production purposes.

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Cited By

Yu DXiao CLau MFu H(2024)Sketch2Stress: Sketching With Structural Stress AwarenessIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.334211930:10(6851-6865)Online publication date: 1-Oct-2024
https://dl.acm.org/doi/10.1109/TVCG.2023.3342119
Khan DBohak CViola I(2024)Dr. KID: Direct Remeshing and K-Set Isometric Decomposition for Scalable Physicalization of Organic ShapesIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332659530:1(705-715)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TVCG.2023.3326595
Webster AJia XXie S(2024)Cost-Optimal Cutting and Packing for Nuclear Decommissioning2024 30th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)10.1109/M2VIP62491.2024.10746009(1-6)Online publication date: 3-Oct-2024
https://doi.org/10.1109/M2VIP62491.2024.10746009
Show More Cited By

Index Terms

Level-set-based partitioning and packing optimization of a printable model
1. Computing methodologies
  1. Computer graphics
    1. Animation
      1. Physical simulation
    2. Shape modeling
2. Mathematics of computing
  1. Continuous mathematics
    1. Topology
      1. Geometric topology

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Published In

cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 34, Issue 6

November 2015

944 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/2816795

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Copyright © 2015 ACM.

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Publication History

Published: 02 November 2015

Published in TOG Volume 34, Issue 6

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Cited By

Yu DXiao CLau MFu H(2024)Sketch2Stress: Sketching With Structural Stress AwarenessIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.334211930:10(6851-6865)Online publication date: 1-Oct-2024
https://dl.acm.org/doi/10.1109/TVCG.2023.3342119
Khan DBohak CViola I(2024)Dr. KID: Direct Remeshing and K-Set Isometric Decomposition for Scalable Physicalization of Organic ShapesIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332659530:1(705-715)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TVCG.2023.3326595
Webster AJia XXie S(2024)Cost-Optimal Cutting and Packing for Nuclear Decommissioning2024 30th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)10.1109/M2VIP62491.2024.10746009(1-6)Online publication date: 3-Oct-2024
https://doi.org/10.1109/M2VIP62491.2024.10746009
Xiao XFu GSong PPeng QHe NMo TZhang Z(2024)Comprehensive review of additive manufacturing lifecycle optimization in a cloud environment: from distributed manufacturing to postprocessingRapid Prototyping Journal10.1108/RPJ-04-2024-0182Online publication date: 6-Nov-2024
https://doi.org/10.1108/RPJ-04-2024-0182
Pinto MSilva CThürer MMoniz S(2024)Nesting and scheduling optimization of additive manufacturing systemsComputers and Operations Research10.1016/j.cor.2024.106592165:COnline publication date: 2-Jul-2024
https://dl.acm.org/doi/10.1016/j.cor.2024.106592
Xue TWu MLu LWang HDong HChen B(2023)Learning Gradient Fields for Scalable and Generalizable Irregular PackingSIGGRAPH Asia 2023 Conference Papers10.1145/3610548.3618235(1-11)Online publication date: 10-Dec-2023
https://dl.acm.org/doi/10.1145/3610548.3618235
Zhao HPan ZYu YXu K(2023)Learning Physically Realizable Skills for Online Packing of General 3D ShapesACM Transactions on Graphics10.1145/360354442:5(1-21)Online publication date: 28-Jul-2023
https://dl.acm.org/doi/10.1145/3603544
Cui QRong VChen DMatusik W(2023)Dense, Interlocking-Free and Scalable Spectral Packing of Generic 3D ObjectsACM Transactions on Graphics10.1145/359212642:4(1-14)Online publication date: 26-Jul-2023
https://dl.acm.org/doi/10.1145/3592126
Cristiani EFalcone MTozza S(2023)An Overview of Some Mathematical Techniques and Problems Linking 3D Vision to 3D PrintingMathematical Methods for Objects Reconstruction10.1007/978-981-99-0776-2_1(1-34)Online publication date: 11-Apr-2023
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Mitropoulou IBernhard MDillenburger B(2022)Nonplanar 3D Printing of Bifurcating Forms3D Printing and Additive Manufacturing10.1089/3dp.2021.00239:3(189-202)Online publication date: 1-Jun-2022
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