Ballistic Performance Evaluation of Carbon Graphite Foam (CGF) and Nanoparticle-Kevlar (SNK) Composites Using Compressed-Air Guns

2022 ◽  
pp. 89-104
Author(s):  
Muhammad Ali Bablu ◽  
James M. Manimala
Keyword(s):  
Performance Evaluation ◽  
Compressed Air ◽  
Ballistic Performance ◽  
Graphite Foam

Efficient Simulation of Grain Burning Surface Regression

2012 ◽  
Vol 466-467 ◽  
pp. 314-318
Author(s):  
You Quan Liu ◽  
Kang Xue Yin ◽  
Fu Ting Bao ◽  
Yang Liu ◽  
En Hua Wu
Keyword(s):  
Performance Evaluation ◽  
Level Set ◽  
Burning Surface ◽  
The Self ◽  
Solid Rocket Motor ◽  
Fast Marching ◽  
Ballistic Performance ◽  
Efficient Simulation ◽  
Effectiveness And Efficiency ◽  
Solid Rocket

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.

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