人工神经网络在四硝基甲烷-硝基苯混合物爆速估算中的应用

2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM ) Pub Date : 2019-11-01 DOI:10.1109/HNICEM48295.2019.9072778

D. G. Evangelista, Dr. Ryan Rhay Vicerra, Dr. Argel A. Bandala

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引用次数: 1

摘要

爆速或能量释放率是评定炸药等级时要考虑的一个重要特性。它是估计炸药性能的一个关键参数，因为它可以表示爆轰的强度。本研究的目的是提出一个人工神经网络模型，该模型将有助于估计具有不同参数的高炸药，特别是四硝基甲烷-硝基苯(TNM/NB)混合物的爆轰速度

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Use of Artificial Neural Network in the Estimation of Detonation Velocity for Tetranitromethane-Nitrobenzene Mixture

Detonation velocity or rate of energy release is an important property to consider when rating an explosive. It is a critical parameter used for estimating explosive performance as it can indicate the intensity of detonation. The purpose of this research study is to propose an artificial neural network model that would aid in the estimation of detonation velocities of a high explosive specifically, tetranitromethane-nitrobenzene (TNM/NB) mixture, with varying parameters

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2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM )

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