Prediction of Filament Usage in Human Manikin 3D Printing Using Voxel Approximation-based Shadow Projection 


Vol. 59,  No. 2, pp. 79-87, Apr.  2022
10.12772/TSE.2022.59.079


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  Abstract

This paper proposes a modified algorithm that predicts filament usage in human manikin three-dimensional (3D) printing. In 3D printing, the use of support structures owing to overhangs leads to an increased printing time, filament length, and final surface ruggedness, which can be minimized by selection correct choice regarding object printing orientation. To predict the amount of filament needed in 3D printing, we use the shadowprojection idea employed in previous works. We modify the original idea so that triangles are classified into alpha and beta groups with respect to their normal vector. Then, the groups are converted into alpha and beta voxels, respectively. Finally, the voxels that lie highest in the Z-direction are copied to top-covering voxels. In this way, the final volume of the filament can be easily calculated using simple linear algebra. For ease of modeling, we assumed that the internal volume and the support structure were 100% filled. The proposed algorithm is applied to the famous Stanford Bunny data and some manikin parts.

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pISSN : 1225 - 1089
eISSN : 2288 - 6419

한국연구재단 우수등재학술지 유지 (2022년)