efficient simulation of grain burning surface regression

ISCAS OpenIR

	efficient simulation of grain burning surface regression
	Liu Youquan; Yin Kangxue; Bao Futing; Liu Yang; Wu Enhua
	2012
会议名称	2012 International Conference on Intelligent System and Applied Material, GSAM 2012
会议录名称	Applied Mechanics and Materials
页码	314-318
会议日期	January 13, 2012 - January 15, 2012
会议地点	Taiyuan, Shanxi, China
收录类别	EI
ISSN	1660-9336
ISBN	9783037853689
部门归属	(1) School of Information Engineering Chang'an University Xi'an China; (2) School of Astronautics Northwestern Polytechnic University Xi'an China; (3) State Key Lab of Computer Science Institute of Software Chinese Academy of Sciences China
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.; 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.
关键词	Intelligent Systems Numerical Methods Regression Analysis Rocket Engines Rockets
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/15696
专题	中国科学院软件研究所
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],2012:314-318.