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 in | Journal of analytical atomic spectrometry Vol. 36; no. 12; pp. 263 - 2611 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
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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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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 |
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