Textile Science and Engineering (한국섬유공학회지)

The Korean Fiber Society (한국섬유공학회)
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Prediction of Filament Usage in Human Manikin 3D Printing Using Voxel Approximation-based Shadow Projection

복셀 근사화 기반 그림자 투영법을 이용한 인체 마네킨의 3D 프린팅 필라멘트 소모량 예측

  • Jung, Jin Young (Department of Materials Design Engineering, Kumoh National Institute of Technology) ;
  • Sul, In Hwan (Department of Materials Design Engineering, Kumoh National Institute of Technology)
  • 정진영 (금오공과대학교 소재디자인공학과) ;
  • 설인환 (금오공과대학교 소재디자인공학과)
  • Received : 2022.01.25
  • Accepted : 2022.02.22
  • Published : 2022.04.30
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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 shadow-projection 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.

Keywords

Acknowledgement

이 연구는 금오공과대학교 학술연구비로 지원되었음(202001320001).

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