Calculation Speed Improvement of Optimal 3D Printing Orientation Prediction Using Closed-Volume-Voxel Structure 


Vol. 60,  No. 5, pp. 306-312, Oct.  2023
10.12772/TSE.2023.60.306


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  Abstract

This paper modified our previous algorithm, designated as support structure tomography, which approximates the amount of support structure as the shadow volume from virtual sunlight. It was composed of four main steps, mesh rotation, vertically-sparsevoxelization, voxel group classification, and final support structure mass calculation. It showed a fast calculation speed of less than 1 second per orientation for 65k triangular mesh data, but further calculation speed optimization is needed for practical use. This work tried to improve the calculation speed by omitting the first and second steps. Specifically, closed-volume-voxel structures, instead of the previous vertically-sparse-voxels, were prepared and reused in each orientation using open-source software. The modified method was applied to none kinds of triangular meshes and the results were compared with those from conventional slicing software.

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  Cite this article

[IEEE Style]

J. Y. Jung and I. H. Sul, "Calculation Speed Improvement of Optimal 3D Printing Orientation Prediction Using Closed-Volume-Voxel Structure," Textile Science and Engineering, vol. 60, no. 5, pp. 306-312, 2023. DOI: 10.12772/TSE.2023.60.306.

[ACM Style]

Jin Young Jung and In Hwan Sul. 2023. Calculation Speed Improvement of Optimal 3D Printing Orientation Prediction Using Closed-Volume-Voxel Structure. Textile Science and Engineering, 60, 5, (2023), 306-312. DOI: 10.12772/TSE.2023.60.306.

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pISSN : 1225 - 1089
eISSN : 2288 - 6419

한국연구재단 우수등재학술지 유지 (2022년)