摘要
为了研究更为准确的边界仿真方法,针对典型长时间工作发动机,基于ABAQUS软件,通过二次开发建立一套工程可用的喉衬组件传热和背壁热解的数值模拟方法,并对影响喉衬组件温度场的主要影响因素进行分析;对影响背壁热解的关键材料参数进行统计,获得其分布规律;采用Mote-Carlo法获得随机输入参数,通过大量计算,建立输入和输出的近似模型;应用神经网络模拟方法,获得了影响喉衬组件界面密封状态的主要敏感参数。结果表明,数值模拟方法具有较高的精度。
In order to study more accurate boundary simulation method, firstly, based on ABAQUS software, this paper established a secondary development method to simulate the throat liner component heat transfer and insulator pyrolysis, and study the main factors influencing temperature field of throat liner component aiming at a typical long time working engine. Secondly, statistics of key parameters affecting insulator pyrolysis were accomplished to obtain the regularity of distribution. Then, the Mote-Carlo method was used to obtain random input parameters, and the approximate model of input and output was established through a large amount of calculation. Finally, the main sensitive parameters that affect sealed interface of throat liner component were obtained by using neural network simulation method. The results show that the simulation method has high accuracy.
出处
《推进技术》
EI
CAS
CSCD
北大核心
2016年第6期1151-1157,共7页
Journal of Propulsion Technology
关键词
喉衬组件
温度场
神经网络
敏感参数
数值模拟
Throat liner component
Temperature field
Neural network
Sensitive factor
Numerical simulation