Research on Converting CAD Model to MCNP Model Based on STEP File
文献类型：会议论文
| 作者 | Zhang, Xunchao1 ; Yang, Jiaming2; Tian, Yanshan2; He, Shuan2; Wang, Junqiong2; Zhou, Qingguo2; Ji, Qi1; Yan, Xuesong1; Hung, Jason C.3; IEEE
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| 出版日期 | 2013 |
| 关键词 | MCNP INP file STEP file CAD conversion |
| 页码 | 541-+ |
| 英文摘要 | MCNP input file has the characteristics of complicated form and is error-prone in describing geometry model. Therefore we need design and implement an algorithm of conversion general CAD model to MCNP model to solve the existing problems in MCNP aided modeling software. And it can convert the CAD model to MCNP input file. In order to achieve the above goal, this paper concentrates on converting CAD model to MCNP model, after analyzing STEP neutral File and MCNP INP file, we designed an algorithm to achieve converting STEP file to INP file. The result of experiment shows that it has better applicability than the other converting algorithm after getting geometry information of the STEP file. And this algorithm can be widely used and make the communication between CAD systems and MCNP models. |
| 会议录 | 2013 INTERNATIONAL JOINT CONFERENCE ON AWARENESS SCIENCE AND TECHNOLOGY & UBI-MEDIA COMPUTING (ICAST-UMEDIA)
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| 会议录出版者 | IEEE |
| 会议录出版地 | 345 E 47TH ST, NEW YORK, NY 10017 USA |
| 语种 | 英语 |
| 资助项目 | Central Universities[lzujbky-2013-k05] ; Central Universities[lzujbky-2013-43] ; Central Universities[lzujbky-2013-44] ; Central Universities[lzujbky-2012-44] |
| WOS研究方向 | Computer Science ; Engineering |
| WOS记录号 | WOS:000349913600088 |
| 源URL | [http://119.78.100.186/handle/113462/58486]  |
| 专题 | 中国科学院近代物理研究所 |
| 通讯作者 | Zhou, Qingguo |
| 作者单位 | 1.Chinese Acad Sci, Inst Modern Phys, Lanzhou 730000, Peoples R China 2.Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou 730000, Gansu, Peoples R China 3.Overseas Chinese Univ, Dept Informat Management, Taichung, Taiwan |
| 推荐引用方式 GB/T 7714 | Zhang, Xunchao,Yang, Jiaming,Tian, Yanshan,et al. Research on Converting CAD Model to MCNP Model Based on STEP File[C]. 见:. |
入库方式： OAI收割
来源：近代物理研究所
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