Use of artificial neural network in the estimation of detonation velocity for tetranitromethane-nitrobenzene mixture
College
Gokongwei College of Engineering
Department/Unit
Manufacturing Engineering and Management
Document Type
Conference Proceeding
Source Title
2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management, HNICEM 2019
Publication Date
11-1-2019
Abstract
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. © 2019 IEEE.
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Digitial Object Identifier (DOI)
10.1109/HNICEM48295.2019.9072778
Recommended Citation
Evangelista, D., Rhay Vicerra, R., & Bandala, A. A. (2019). Use of artificial neural network in the estimation of detonation velocity for tetranitromethane-nitrobenzene mixture. 2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management, HNICEM 2019 https://doi.org/10.1109/HNICEM48295.2019.9072778
Disciplines
Manufacturing
Keywords
Explosives; Neural networks (Computer science); Force and energy
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