Jung, Jinyoung 설인환 2024-01-19T09:01:23Z 2024-01-19T09:01:23Z 2023-09-27 2023-08 1225-1089 https://pubs.kist.re.kr/handle/201004/113382 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. Korean 한국섬유공학회 오픈 소스 소프트웨어와 지지구조 단층구조 촬영법을 이용한 3D 프린팅 바닥 구조 발생량의 예측 Prediction of 3D Printing Bottom Plate Amount Using Open Source Software and Support Structure Tomography Article 10.12772/TSE.2023.60.249 2 한국섬유공학회지, v.60, no.4, pp.249 - 255 한국섬유공학회지 60 4 249 255 N kci ART002990933 3D print support structure tomography bottom plate open-source software