Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for Determination of Raman Characteristic Regions in Quantitative Analysis of Explosives Cl-20 Crystal Form

A CL-20, characteristic region technology, applied in Raman scattering, material excitation analysis, etc., can solve the problems of peak overlapping and spectral analysis difficulties, weak Raman spectral vibration frequency, complex Raman peak shape, etc. Achieve the effect of simple peak shape, simple quantitative analysis of crystal form, and accurate measurement results

Active Publication Date: 2015-09-23
INST OF CHEM MATERIAL CHINA ACADEMY OF ENG PHYSICS
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problems of weak Raman spectrum vibration frequency in the quantitative analysis of explosive CL-20 crystal form by Raman spectroscopy in the prior art, complex Raman peak shapes and relatively difficult peak position overlapping and spectrogram analysis, the present invention proposes A method for determining the Raman characteristic region of explosive CL-20 crystal form quantitative analysis

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for Determination of Raman Characteristic Regions in Quantitative Analysis of Explosives Cl-20 Crystal Form
  • Method for Determination of Raman Characteristic Regions in Quantitative Analysis of Explosives Cl-20 Crystal Form
  • Method for Determination of Raman Characteristic Regions in Quantitative Analysis of Explosives Cl-20 Crystal Form

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] attached figure 1 It is a schematic diagram of the steps of the method for determining the Raman characteristic region for the quantitative analysis of the explosive CL-20 crystal form of the present invention, with the attached figure 2 Raman spectra of pure α-, β-, γ-, ε-four crystal forms CL-20, attached image 3 ~ attached Figure 9 Respectively, the wave number range is 50 ~ 200cm -1 、200~400cm -1 、400~800cm -1 , 800~1000cm -1 、1000~1500cm -1 、1500~2500cm -1 And 2500~3500cm -1 Three-dimensional scatter diagram of principal component classification of four crystal forms CL-20 in 7 regions of α-, β-, γ-, ε-. As can be seen from the figure, the method for determining the Raman characteristic region of the explosive CL-20 crystal form quantitative analysis of the present invention, according to the wave number range, the Raman The spectrum is divided into regions, and the Raman spectrum of each region is processed by the principal component analysis method, a...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

In order to solve the problems of weak Raman spectroscopy vibration frequency, complex Raman peak shape, peak position overlapping, difficult spectrogram analysis and the like of the Raman spectroscopy method for quantitative analysis of the explosive CL-20 crystal in the prior art, the present invention provides an explosive CL-20 crystal form quantitative analysis Raman feature region determination method, wherein Raman spectrograms of four crystal forms such as alpha-, beta-, gamma- and epsilon- of the explosive CL-20 pure product are subjected to region division according to the wave number range, a main component analysis method is adopted to treat the Raman spectrograms of various regions, and a main component classification three-dimensional scatter diagram is adopted to determine the quantitative analysis Raman feature region. With the explosive CL-20 crystal form quantitative analysis Raman feature region determination method, the Raman spectrogram with characteristics of representativeness and simple and clear peak shape can be obtained, application of the Raman spectroscopy method to carry out crystal form quantitative analysis on the explosive CL-20 is simple and feasible, and the determination result is accurate and reliable.

Description

technical field [0001] The invention relates to a principal component analysis technique for the quantitative analysis of the Raman spectrogram of the explosive CL-20 crystal form, in particular to a method for determining the Raman characteristic region for the quantitative analysis of the explosive CL-20 crystal form. Background technique [0002] Hexanitrohexaazaisowurtzitane explosive CL-20 is a new clathrate compound with high density, high energy, high detonation pressure and high detonation velocity discovered and synthesized in recent years. Under normal temperature and pressure, the explosive CL-20 has four crystal forms of α-, β-, γ- and ε-, and the physical and chemical properties of different crystal forms of CL-20 are different (such as sensitivity, detonation performance, etc. ), and these properties are very important for the application as explosive CL-20. Among the four crystal forms of explosive CL-20, the ε-crystal form has the highest density, the best t...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/65
Inventor 何璇王慧徐涛王建华徐金江鲁洪王晓川王蔺罗毅威齐天骄蒲雪梅徐容
Owner INST OF CHEM MATERIAL CHINA ACADEMY OF ENG PHYSICS
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products