Multi-attribute Voxelization Technology of AMF for 3D Printing

Chenyan Liu, Shikai Jing

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Abstract

As 3D printing technology matures, multi-material 3D printing has been realized, and voxel-level printing manufacturing has become possible. Therefore, voxel models with multiple attributes such as multi-color and multi-material are required to record this information. In order to obtain the multi-attribute voxel model, this paper proposes a voxelization method based on AMF data format. The AMF format is a triangular model file containing specific information such as color, material, and density. Multi-attribute voxelization is proposed, which is accomplished by preprocessing the model information and enabling the voxelization process to support multiple attributes. The surface of the voxel model is optimized by detail enhancement. Experiments show that the voxelization algorithm retains the original model multi-attribute information.

Original languageEnglish
Title of host publication2019 IEEE 6th International Conference on Industrial Engineering and Applications, ICIEA 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages81-85
Number of pages5
ISBN (Electronic)9781728108513
DOIs
Publication statusPublished - 14 May 2019
Event6th IEEE International Conference on Industrial Engineering and Applications, ICIEA 2019 - Tokyo, Japan
Duration: 12 Apr 201915 Apr 2019

Publication series

Name2019 IEEE 6th International Conference on Industrial Engineering and Applications, ICIEA 2019

Conference

Conference6th IEEE International Conference on Industrial Engineering and Applications, ICIEA 2019
Country/TerritoryJapan
CityTokyo
Period12/04/1915/04/19

Keywords

  • 3Dprinting
  • multi-attribute
  • voxelization

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Liu, C., & Jing, S. (2019). Multi-attribute Voxelization Technology of AMF for 3D Printing. In 2019 IEEE 6th International Conference on Industrial Engineering and Applications, ICIEA 2019 (pp. 81-85). Article 8714990 (2019 IEEE 6th International Conference on Industrial Engineering and Applications, ICIEA 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IEA.2019.8714990