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Title: Computational study of ignition behavior and hotspot dynamics of a potential class of aluminized explosives

Abstract

The ignition behavior and hotspot dynamics of a potential class of aluminized energetic materials are studied computationally. The materials consist of HMX (octahydro-1,3,5,7-tetranitro-1,3,5,7-tetrazocine) grains embedded in an aluminum matrix and, henceforth referred to as metal–matrix explosives (MMXs). For the analysis, two different MMXs, the soft MMX with a matrix of 1100 Al alloy and the hard MMX with a matrix of 7075 T651 Al alloy are considered. The thermo-mechanical response of the MMXs are computationally analyzed by subjecting them to monotonic impact loading using a Lagrangian cohesive finite element framework, with their ignition behavior analyzed through characterization of hotspots. For comparison, a polymer-bonded explosive (PBX) consisting of HMX and Estane is also analyzed under the same conditions. Here, the results show that the MMXs have significantly lower propensity for ignition and higher structural integrity than the PBX over the loading velocity range of 200–500 m s-1.

Authors:
 [1]; ORCiD logo [2];  [1];  [3];  [1]
  1. Georgia Inst. of Technology, Atlanta, GA (United States)
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  3. Air Force Research Lab, Eglin AFB, FL (United States)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1560512
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
Modelling and Simulation in Materials Science and Engineering
Additional Journal Information:
Journal Volume: 26; Journal Issue: 8; Journal ID: ISSN 0965-0393
Publisher:
IOP Publishing
Country of Publication:
United States
Language:
English
Subject:
45 MILITARY TECHNOLOGY, WEAPONRY, AND NATIONAL DEFENSE; energetic material; PBX; HMX; metal–matrix explosives; ignition; impact

Citation Formats

Roy, Ushasi, Kim, Seokpum, Miller, Christopher, Horie, Yasuyuki, and Zhou, Min. Computational study of ignition behavior and hotspot dynamics of a potential class of aluminized explosives. United States: N. p., 2018. Web. doi:10.1088/1361-651X/aae402.
Roy, Ushasi, Kim, Seokpum, Miller, Christopher, Horie, Yasuyuki, & Zhou, Min. Computational study of ignition behavior and hotspot dynamics of a potential class of aluminized explosives. United States. doi:10.1088/1361-651X/aae402.
Roy, Ushasi, Kim, Seokpum, Miller, Christopher, Horie, Yasuyuki, and Zhou, Min. Wed . "Computational study of ignition behavior and hotspot dynamics of a potential class of aluminized explosives". United States. doi:10.1088/1361-651X/aae402. https://www.osti.gov/servlets/purl/1560512.
@article{osti_1560512,
title = {Computational study of ignition behavior and hotspot dynamics of a potential class of aluminized explosives},
author = {Roy, Ushasi and Kim, Seokpum and Miller, Christopher and Horie, Yasuyuki and Zhou, Min},
abstractNote = {The ignition behavior and hotspot dynamics of a potential class of aluminized energetic materials are studied computationally. The materials consist of HMX (octahydro-1,3,5,7-tetranitro-1,3,5,7-tetrazocine) grains embedded in an aluminum matrix and, henceforth referred to as metal–matrix explosives (MMXs). For the analysis, two different MMXs, the soft MMX with a matrix of 1100 Al alloy and the hard MMX with a matrix of 7075 T651 Al alloy are considered. The thermo-mechanical response of the MMXs are computationally analyzed by subjecting them to monotonic impact loading using a Lagrangian cohesive finite element framework, with their ignition behavior analyzed through characterization of hotspots. For comparison, a polymer-bonded explosive (PBX) consisting of HMX and Estane is also analyzed under the same conditions. Here, the results show that the MMXs have significantly lower propensity for ignition and higher structural integrity than the PBX over the loading velocity range of 200–500 m s-1.},
doi = {10.1088/1361-651X/aae402},
journal = {Modelling and Simulation in Materials Science and Engineering},
number = 8,
volume = 26,
place = {United States},
year = {2018},
month = {10}
}

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