[1]强 涛,等.桥丝式电火工品安全电流的预测[J].南京理工大学学报(自然科学版),2006,(01):110-112.
 QIANG Tao,ZHOU Bin,et al.Prediction of No-firing Current of Bridgewire Electric Explosive Device[J].Journal of Nanjing University of Science and Technology,2006,(01):110-112.
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桥丝式电火工品安全电流的预测
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《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
期数:
2006年01期
页码:
110-112
栏目:
出版日期:
2006-02-28

文章信息/Info

Title:
Prediction of No-firing Current of Bridgewire Electric Explosive Device
作者:
强 涛1 2 周 彬1 秦志春1 陈西武1 田桂蓉1 徐振相1
1. 南京理工大学化工学院, 江苏南京210094; 2. 西安工业学院材料与化工学院, 陕西西安710032
Author(s):
QIANG Tao1 2 ZHOU Bin1 QIN Zh-i chun1 CHEN X-i wu1 TIAN Gu-i rong1 XU Zhen-xiang1
School of Chemical Engineering, NUST, Nanjing 210094, China;
关键词:
电火工品 瞬态脉冲试验 安全电流 数学模型 神经网络模型
Keywords:
electric explosive device transient pulse test no-firing currents mathemat ical model art ificial neural network
分类号:
TQ 560. 72
摘要:
通过瞬态脉冲无损检测试验得到桥丝式电火工品的电阻和集总热散失系数等电热响应参数,利用这些电热响应参数分别采用Rosenthal的集总热参数模型和BP神经网络模型方法预测电火工品的安全电流。结果表明:两种方法预测的安全电流较高的电火工品,在相同的恒流脉冲下发火的概率较小。电火工品瞬态脉冲无损检测技术与BP神经网络模型方法相结合,可以用来预测电火工品的安全电流。
Abstract:
The electric-thermal parameters of the bridgewire electric explosive device such as resistance and heat loss coefficient were measured with the non-destructive transient pulse test system under non-destructive conditions, then the no-firing current of the electric explosive device was predicated using the Rosenthal mathemat ical model and the back-propagat ion( BP) artificial neural network model. The result shows that the electric explosive devices with the higher predicated no-firing current have the smaller probability to detonate through the same pulse. The combination of the transient pulse test method with the artificial neural network model is a new way to the non-destructive test of the electric explosive device.

参考文献/References:

[ 1] Kabik I, Rosenthal L A, Solem A D. The response of electro explosive devices to transient electrical pulse[ A] . Pro of the 3th Electric Initiator Symposium [ C ] . Phila: The Franklin Institute: 1960. 1- 24.
[ 2] 周彬. 桥丝式电火工品瞬态脉冲无损检测技术研究 [ D] . 南京: 南京理工大学化工学院, 2004.
[ 3] 阎平凡, 张长水. 人工神经网络与模拟进化计算 [M] . 北京: 清华大学出版社, 2000.
[ 4] 蔡瑞娇. 火工品设计原理[M] . 北京: 北京理工大学 出版社, 1999.
[ 5] 闻新, 周露, 李翔, 等. MATLAB 神经网络仿真与应用 [M] . 北京: 科学出版社, 2003.

相似文献/References:

[1]周彬,陈西武,秦志春,等.瞬态脉冲试验法用于电火工品感度分类的研究[J].南京理工大学学报(自然科学版),2005,(01):52.
 ZHOU Bin,CHEN Xi-wu,QIN Zhi-chun,et al.Application of Transient Pulse Testing to Sensitivity Classification of Electro-explosive Devices[J].Journal of Nanjing University of Science and Technology,2005,(01):52.

备注/Memo

备注/Memo:
作者简介: 强涛( 1979- ) , 男, 陕西宝鸡人, 助教, 硕士, 主要研究方向: 电火工品的无损检测, E-mail: qiangtao2005@ 163. com; 通讯作者: 周彬( 1971- ) , 女, 湖北大冶人, 副研究员, 博士, 主要研究方向: 火工技术, E-mail: zhou2@ mail. njust. edu. cn。
更新日期/Last Update: 2006-02-28