Textile Science and Engineering (한국섬유공학회지)

The Korean Fiber Society (한국섬유공학회)
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Prediction of 3D Printing Bottom Plate Amount Using Open Source Software and Support Structure Tomography

오픈 소스 소프트웨어와 지지구조 단층구조 촬영법을 이용한 3D 프린팅 바닥 구조 발생량의 예측

  • 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 : 2023.06.23
  • Accepted : 2023.07.28
  • Published : 2023.08.31
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Abstract

The purpose of this study is to present a modified calculation scheme, designated as support structure tomography, which can easily predict and minimize the amount of the support structure in human mannequin 3D printing. It started with voxelization of triangular mannequin mesh and predicted the information of support structure by triangles' normal vector information. However, it did not consider the bottom plate options although they are critical factors in 3D printing. This work proposes a modified algorithm that can predict both the support structure and the bottom structure using open-source software, so that non-professional users can easily adopt it to their own uses. The proposed algorithm's accuracy was compared with that of g-code-based slicing software for the Stanford Bunny data.

Keywords

Acknowledgement

이 논문은 금오공과대학교 교수연구년제 (2022년)의 실적물입니다. 실험을 도와준 학부연구생들에게 감사드립니다.

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