The sensitivity determination of energetic materials from laser spark spectrometry based on physical-parameter-corrected statistical methods

The traditional large-dosage and dangerous methods for the determination of the sensitivities of energetic materials (EMs) have always led to low-accuracy diagnoses with poor repeatability, since they are affected by crystalline quality, experimental conditions, etc. Herein, a simple method is devel...

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Published inJournal of analytical atomic spectrometry Vol. 36; no. 12; pp. 263 - 2611
Main Authors Wang, Xianshuang, Wang, Junfeng, Fu, Ying, Liu, Ruibin, He, Yage, Li, An, Kong, Denan, Guo, Wei, Shu, Qinghai, Yao, Yugui
Format Journal Article
LanguageEnglish
Published London Royal Society of Chemistry 01.12.2021
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Abstract The traditional large-dosage and dangerous methods for the determination of the sensitivities of energetic materials (EMs) have always led to low-accuracy diagnoses with poor repeatability, since they are affected by crystalline quality, experimental conditions, etc. Herein, a simple method is developed to determine various sensitivities, such as impact sensitivity, friction sensitivity, electrostatic sensitivity, and laser sensitivity, via laser spark spectrometry (LSS), with the consumption of only several milligrams of EM, rather than macro-detonation testing. Based on suitable correlated prediction models using the entire LSS spectrum and physical-parameter-corrected statistical regression, the friction sensitivity, electrostatic sensitivity, and laser sensitivity can be well predicted, evaluating the impact of various factors on sensitivity. The correlations between plasma temperature and impact sensitivity, electron density and friction sensitivity, and oxygen balance and electrostatic sensitivity are also clarified. This can facilitate sensitivity predictions with high precision. This method provides a safe, low-dosage, high-precision, and low-cost approach for sensitivity estimations of EMs. A simple method combining the impact of various factors on sensitivity is developed to determine various sensitivities via laser spark spectrometry with the consumption of only several milligrams of EM, rather than via macro-detonation testing.
AbstractList The traditional large-dosage and dangerous methods for the determination of the sensitivities of energetic materials (EMs) have always led to low-accuracy diagnoses with poor repeatability, since they are affected by crystalline quality, experimental conditions, etc. Herein, a simple method is developed to determine various sensitivities, such as impact sensitivity, friction sensitivity, electrostatic sensitivity, and laser sensitivity, via laser spark spectrometry (LSS), with the consumption of only several milligrams of EM, rather than macro-detonation testing. Based on suitable correlated prediction models using the entire LSS spectrum and physical-parameter-corrected statistical regression, the friction sensitivity, electrostatic sensitivity, and laser sensitivity can be well predicted, evaluating the impact of various factors on sensitivity. The correlations between plasma temperature and impact sensitivity, electron density and friction sensitivity, and oxygen balance and electrostatic sensitivity are also clarified. This can facilitate sensitivity predictions with high precision. This method provides a safe, low-dosage, high-precision, and low-cost approach for sensitivity estimations of EMs. A simple method combining the impact of various factors on sensitivity is developed to determine various sensitivities via laser spark spectrometry with the consumption of only several milligrams of EM, rather than via macro-detonation testing.
The traditional large-dosage and dangerous methods for the determination of the sensitivities of energetic materials (EMs) have always led to low-accuracy diagnoses with poor repeatability, since they are affected by crystalline quality, experimental conditions, etc. Herein, a simple method is developed to determine various sensitivities, such as impact sensitivity, friction sensitivity, electrostatic sensitivity, and laser sensitivity, via laser spark spectrometry (LSS), with the consumption of only several milligrams of EM, rather than macro-detonation testing. Based on suitable correlated prediction models using the entire LSS spectrum and physical-parameter-corrected statistical regression, the friction sensitivity, electrostatic sensitivity, and laser sensitivity can be well predicted, evaluating the impact of various factors on sensitivity. The correlations between plasma temperature and impact sensitivity, electron density and friction sensitivity, and oxygen balance and electrostatic sensitivity are also clarified. This can facilitate sensitivity predictions with high precision. This method provides a safe, low-dosage, high-precision, and low-cost approach for sensitivity estimations of EMs.
The traditional large-dosage and dangerous methods for the determination of the sensitivities of energetic materials (EMs) have always led to low-accuracy diagnoses with poor repeatability, since they are affected by crystalline quality, experimental conditions, etc. Herein, a simple method is developed to determine various sensitivities, such as impact sensitivity, friction sensitivity, electrostatic sensitivity, and laser sensitivity, via laser spark spectrometry (LSS), with the consumption of only several milligrams of EM, rather than macro-detonation testing. Based on suitable correlated prediction models using the entire LSS spectrum and physical-parameter-corrected statistical regression, the friction sensitivity, electrostatic sensitivity, and laser sensitivity can be well predicted, evaluating the impact of various factors on sensitivity. The correlations between plasma temperature and impact sensitivity, electron density and friction sensitivity, and oxygen balance and electrostatic sensitivity are also clarified. This can facilitate sensitivity predictions with high precision. This method provides a safe, low-dosage, high-precision, and low-cost approach for sensitivity estimations of EMs.
Author Fu, Ying
Li, An
Guo, Wei
Shu, Qinghai
Wang, Junfeng
Yao, Yugui
Liu, Ruibin
Wang, Xianshuang
He, Yage
Kong, Denan
AuthorAffiliation School of Materials Science and Engineering
Beijing Key Lab of Nanophotonics & Ultrafine Optoelectronic Systems
School of Physics
School of Computer Science and Technology
Frontiers Science Center for High Energy Material (MOE)
Beijing Institute of Technology
Key Lab of Advanced Optoelectronic Quantum Architecture and Measurement (Ministry of Education)
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  ident: D1JA00325A/cit39
  publication-title: IEEE Trans. Pattern Anal. Mach. Intell.
  doi: 10.1109/TPAMI.2009.187
  contributor:
    fullname: Rodriguez
– volume: 20
  start-page: 250
  year: 1952
  ident: D1JA00325A/cit33
  publication-title: Am. J. Phys.
  doi: 10.1119/1.1933188
  contributor:
    fullname: Bowden
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Snippet The traditional large-dosage and dangerous methods for the determination of the sensitivities of energetic materials (EMs) have always led to low-accuracy...
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SubjectTerms Detonation
Dosage
Electron density
Energetic materials
Friction
Impact prediction
Lasers
Parameter sensitivity
Plasma temperature
Prediction models
Scientific imaging
Spectrometry
Spectroscopy
Statistical analysis
Statistical methods
Title The sensitivity determination of energetic materials from laser spark spectrometry based on physical-parameter-corrected statistical methods
URI https://www.proquest.com/docview/2604899929
Volume 36
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