Title

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

Disciplines

Manufacturing

Keywords

Explosives; Neural networks (Computer science); Force and energy

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