Textile Science and Engineering (한국섬유공학회지)

The Korean Fiber Society (한국섬유공학회)
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Calculation Speed Improvement of Optimal 3D Printing Orientation Prediction Using Closed-Volume-Voxel Structure

닫힌 부피 복셀 구조를 이용한 3D 프린팅 최적 배향 예측의 연산 속도 개선

  • Jin Young Jung (Institute of Advanced Composite Materials, Korea Institute of Science and Technology (KIST)) ;
  • In Hwan Sul (Department of Materials Design Engineering, Kumoh National Institute of Technology)
  • 정진영 (한국과학기술연구원 복합소재기술연구소) ;
  • 설인환 (금오공과대학교 소재디자인공학과)
  • Received : 2023.07.07
  • Accepted : 2023.08.13
  • Published : 2023.10.31
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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-sparse-voxelization, 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.

Keywords

Acknowledgement

이 연구는 금오공과대학교 연구과제비(2022-2023)로 지원되었습니다.

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