Edge-Enhanced Object-Space Model Optimization of Tomographic Reconstructions for Additive Manufacturing
文献类型：期刊论文
| 作者 | Y. Zhang, M. Liu, H. Liu, C. Gao, Z. Jia and R. Zhai |
| 刊名 | Micromachines
 |
| 出版日期 | 2023 |
| 卷号 | 14期号:7 |
| ISSN号 | 2072666X |
| DOI | 10.3390/mi14071362 |
| 英文摘要 | Object-space model optimization (OSMO) has been proven to be a simple and high-accuracy approach for additive manufacturing of tomographic reconstructions compared with other approaches. In this paper, an improved OSMO algorithm is proposed in the context of OSMO. In addition to the two model optimization steps in each iteration of OSMO, another two steps are introduced: one step enhances the target regions’ in-part edges of the intermediate model, and the other step weakens the target regions’ out-of-part edges of the intermediate model to further improve the reconstruction accuracy of the target boundary. Accordingly, a new quality metric for volumetric printing, named ‘Edge Error’, is defined. Finally, reconstructions on diverse exemplary geometries show that all the quality metrics, such as VER, PW, IPDR, and Edge Error, of the new algorithm are significantly improved; thus, this improved OSMO approach achieves better performance in convergence and accuracy compared with OSMO. © 2023 by the authors. |
| URL标识 | 查看原文 |
| 源URL | [http://ir.ciomp.ac.cn/handle/181722/68209]  |
| 专题 | 中国科学院长春光学精密机械与物理研究所 |
| 推荐引用方式 GB/T 7714 | Y. Zhang, M. Liu, H. Liu, C. Gao, Z. Jia and R. Zhai. Edge-Enhanced Object-Space Model Optimization of Tomographic Reconstructions for Additive Manufacturing[J]. Micromachines,2023,14(7). |
| APA | Y. Zhang, M. Liu, H. Liu, C. Gao, Z. Jia and R. Zhai.(2023).Edge-Enhanced Object-Space Model Optimization of Tomographic Reconstructions for Additive Manufacturing.Micromachines,14(7). |
| MLA | Y. Zhang, M. Liu, H. Liu, C. Gao, Z. Jia and R. Zhai."Edge-Enhanced Object-Space Model Optimization of Tomographic Reconstructions for Additive Manufacturing".Micromachines 14.7(2023). |
入库方式： OAI收割
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