Jones–Wilkins–Lee (JWL) Equation of State for a DNAN‐Based Melt‐Cast Explosive

ABSTRACT 2,4‐dinitroanisole (DNAN)‐based melt‐cast explosives exhibit excellent stability and are widely used in the filling of insensitive munitions. To investigate the working capacity of DNAN‐based melt‐cast explosives, the Chapman–Jouguet (CJ) state and isentrope of detonation products were predicted using a thermochemical code with five equation of state (EOS), Becker–Kistiakowsky–Wilson (BKW), Kihara–Hikita–Tanaka (KHT), Virial‐Wu (VLW), Lennard‐Jones–Devonshire (LJD) and Jacobs–Cowperthwaite–Zwisler (JCZ). The parameters of the Jones–Wilkins–Lee (JWL) are determined by products Hugoniot with pressures above the CJ state and products isentrope with pressures below the CJ state, to accurately calculate the states over a range of pressures. Driven flyer plate experiments were performed employing three metals with different shock impedances: tungsten, copper and aluminium. Simulations with the calibrated JWLs and validation experiments were performed for an explosive‐driven flyer plate system. The results indicate that the computed velocity histories align closely with the experimental data, with the maximum velocity errors for tungsten and copper being below 3%. The good agreement between theoretical and experimental results validates the use of thermochemical code to predict the working capacity of explosives.

Authors

Institutions

Publication Details

Journal
Propellants Explosives Pyrotechnics
Published
2026-03-11
DOI
https://doi.org/10.1002/prep.70161
Primary Topic
Energetic Materials and Combustion
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Jones–Wilkins–Lee (JWL) Equation of State for a DNAN‐Based Melt‐Cast Explosive

Lu Zhou, Z. Y. Wang, Chen Yang, Yang Wang et al.
Propellants Explosives Pyrotechnics
Energetic Materials and Combustion
article

Jones–Wilkins–Lee (JWL) Equation of State for a DNAN‐Based Melt‐Cast Explosive

Lu Zhou, Z. Y. Wang, Chen Yang, Yang Wang, Junlong Cheng, Feichao Miao
article en

Abstract

ABSTRACT 2,4‐dinitroanisole (DNAN)‐based melt‐cast explosives exhibit excellent stability and are widely used in the filling of insensitive munitions. To investigate the working capacity of DNAN‐based melt‐cast explosives, the Chapman–Jouguet (CJ) state and isentrope of detonation products were predicted using a thermochemical code with five equation of state (EOS), Becker–Kistiakowsky–Wilson (BKW), Kihara–Hikita–Tanaka (KHT), Virial‐Wu (VLW), Lennard‐Jones–Devonshire (LJD) and Jacobs–Cowperthwaite–Zwisler (JCZ). The parameters of the Jones–Wilkins–Lee (JWL) are determined by products Hugoniot with pressures above the CJ state and products isentrope with pressures below the CJ state, to accurately calculate the states over a range of pressures. Driven flyer plate experiments were performed employing three metals with different shock impedances: tungsten, copper and aluminium. Simulations with the calibrated JWLs and validation experiments were performed for an explosive‐driven flyer plate system. The results indicate that the computed velocity histories align closely with the experimental data, with the maximum velocity errors for tungsten and copper being below 3%. The good agreement between theoretical and experimental results validates the use of thermochemical code to predict the working capacity of explosives.

Propellants Explosives Pyrotechnics
Beijing Institute of Technology (CN), Anhui University of Science and Technology (CN)
Openalex Percentile: Top 25%
Energetic Materials and Combustion
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.