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Minimizing material consumption of 3d printing with stress-guided optimization.

Zheng, A., Bian, S., Chaudhry, E., Chang, J., Haron, H., You, L. and Zhang, J., 2020. Minimizing material consumption of 3d printing with stress-guided optimization. In: ICCS2020: 20th International Conference on Computational Science, 3-5 June 2020, Amsterdam, The Netherlands, 588 - 603.

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DOI: 10.1007/978-3-030-50426-7_44

Abstract

3D printing has been widely used in daily life, industry, architecture, aerospace, crafts, art, etc. Minimizing 3D printing material consumption can greatly reduce the costs. Therefore, how to design 3D printed objects with less materials while maintain structural soundness is an important problem. The current treatment is to use thin shells. However, thin shells have low strength. In this paper, we use stiffeners to stiffen 3D thin-shell objects for increasing the strength of the objects and propose a stress guided optimization framework to achieve minimum material consumption. First, we carry out finite element calculations to determine stress distribution in 3D objects and use the stress distribution to guide random generation of some points called seeds. Then we map the 3D objects and seeds to a 2D space and create a Voronoi Diagram from the seeds. The stiffeners are taken to be the edges of the Voronoi Diagram whose intersections with the edges of each of the triangles used to represent the polygon models of the 3D objects are used to define stiffeners. The obtained intersections are mapped back to 3D polygon models and the cross-section size of stiffeners is minimized under the constraint of the required strength. Monte-Carlo simulation is finally introduced to repeat the process from random seed generation to cross-section size optimization of stiffeners. Many experiments are presented to demonstrate the proposed framework and its advantages.

Item Type:Conference or Workshop Item (Paper)
ISSN:0302-9743
Uncontrolled Keywords:3D printing, thin-shell stiffened objects, minimum material consumption, finite element analysis, stress-guided optimization
Group:Faculty of Media & Communication
ID Code:34297
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:15 Jul 2020 10:35
Last Modified:15 Jul 2020 10:35

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