|Table of Contents|

Prediction of No-firing Current of Bridgewire Electric Explosive Device

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2006年01期
Page:
110-112
Research Field:
Publishing date:
2006-02-28

Info

Title:
Prediction of No-firing Current of Bridgewire Electric Explosive Device
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;
Keywords:
electric explosive device transient pulse test no-firing currents mathemat ical model art ificial neural network
PACS:
TQ 560. 72
DOI:
-
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.

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.

Memo

Memo:
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Last Update: 2006-02-28