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تطوير واستخدام منظومه كشف المواد المتفجرة عن بعد == Development and Optimization of Stand off Explosive Material Detection System
Author name:
ولدان محمد عواد
Supervisor name:
سهى موسى خورشيد الاوسي | كمال حسين لطيف
General topic:
Physics
Specific topic:
Physics
Degree:
Doctorate
University:
Al-Nahrain University - College Of Science - Physics Department
Language:
English
University location:
Baghdad
First pages:
26T1735 - p.pdf
Abstract:
In order to develop a effected method to reveal the presence of explosive, numerous detection techniques have been studied that are capable of detecting explosives, The current study provides an overview of the present techniques like LIBS which is an atomic spectroscopy, and examined a new technique for detecting called laser induced fluorescence (LIF).LIF essentially measures the optical emission of the excited energetic materials by laser. The use of LIF has led to the discovery of unreported optical characteristics of some compounds that are exclusive to the individual material, like the phase shift and the modulation depth of the fluorescence signals.A high resolution spectrometer is used to record the fluorescence emission wave length for three types of explosive materials, These optical characteristics consist of fluorescence shoulders of the three samples in the wave length between (300 - 370) nm .Using fast rise time photo multiplier and spatial amplification for the fluorescence signal enable us to detect the time domain fluorescence spectrum for three types of explosive materials (AN), (TNT),( C4) and other non - explosive material, this method used Carefully for 8m standoff detection, different type of substrate is examined to simulate the real scan, both the time domain and frequency domain is measured for efficient LIF spectroscopy that give us a total configuration of the tested sample.A library of a total time configuration for different type of material s spectrum enables us to develop a algorithms to distinguish between expl osive and non - explosive material. Used to develop a recognition program to achieve high sensitive detection system.
