efficient simulation of grain burning surface regression
文献类型：会议论文
| 作者 | Liu Youquan ; Yin Kangxue ; Bao Futing ; Liu Yang ; Wu Enhua |
| 出版日期 | 2012 |
| 会议名称 | 2012 International Conference on Intelligent System and Applied Material, GSAM 2012 |
| 会议日期 | January 13, 2012 - January 15, 2012 |
| 会议地点 | Taiyuan, Shanxi, China |
| 关键词 | Intelligent systems Numerical methods Regression analysis Rocket engines Rockets |
| 页码 | 314-318 |
| 中文摘要 | The computation of grain burning surface regression plays a very important role in the internal ballistic performance evaluation of solid rocket motor, however, the traditional methods such as geometry-based one could not handle the self-intersection and characteristic geometric element disappearing problems. This paper presents an effective and efficient framework to simulate 3D grain burning surface regression with level set method which is combined with Fast Marching technique to constrain the calculation area only around the burning surface. At last, a typical grain example is given by our framework to verify our method's effectiveness and efficiency. © (2012) Trans Tech Publications. |
| 英文摘要 | The computation of grain burning surface regression plays a very important role in the internal ballistic performance evaluation of solid rocket motor, however, the traditional methods such as geometry-based one could not handle the self-intersection and characteristic geometric element disappearing problems. This paper presents an effective and efficient framework to simulate 3D grain burning surface regression with level set method which is combined with Fast Marching technique to constrain the calculation area only around the burning surface. At last, a typical grain example is given by our framework to verify our method's effectiveness and efficiency. © (2012) Trans Tech Publications. |
| 收录类别 | EI |
| 会议录 | Applied Mechanics and Materials
 |
| 语种 | 英语 |
| ISSN号 | 1660-9336 |
| ISBN号 | 9783037853689 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/15696]  |
| 专题 | 软件研究所_软件所图书馆_会议论文 |
| 推荐引用方式 GB/T 7714 | Liu Youquan,Yin Kangxue,Bao Futing,et al. efficient simulation of grain burning surface regression[C]. 见:2012 International Conference on Intelligent System and Applied Material, GSAM 2012. Taiyuan, Shanxi, China. January 13, 2012 - January 15, 2012. |
入库方式： OAI收割
来源：软件研究所
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