Tank-automotive & Armaments COMmand
U.S. Army, TACOM-ARDEC, Picatinny Arsenal, NJ
NEW METHODOLOGY FOR SIMULATINGFRAGMENTATION MUNITIONS
V. Gold, E. Baker*, K. Ng and J. Hirlinger
*Presented By: Dr. Ernest L. Baker
Report Documentation Page
Report Date 09Apr2001
Report Type N/A
Dates Covered (from... to) -
Title and Subtitle New Methodology for Simulating Fragmentation Munitions
Contract Number
Grant Number
Program Element Number
Author(s) Gold, V; Baker, E; Ng, K.; Hirlinger, J.
Project Number
Task Number
Work Unit Number
Performing Organization Name(s) and Address(es) U.S. Army, TACOM-ARDEC, Picatinny Arsenal, NJ
Performing Organization Report Number
Sponsoring/Monitoring Agency Name(s) and Address(es) NDIA (National Defense Industrial Association) 211Wilson Blvd, STE. 400 Arlington, VA 22201-3061
Sponsor/Monitor’s Acronym(s)
Sponsor/Monitor’s Report Number(s)
Distribution/Availability Statement Approved for public release, distribution unlimited
Supplementary Notes Proceedings from the 36th Annual Gun & Ammunition Symposium & Exhibition 9-12 April 2001Sponsored by NDIA
Abstract
Subject Terms
Report Classification unclassified
Classification of this page unclassified
Classification of Abstract unclassified
Limitation of Abstract UU
Number of Pages 16
Tank-automotive & Armaments COMmand
Fragmentation ModelingOutline
• Introduction• Background• Modeling Methodology• Natural Fragmentation• Preformed Fragmentation• Conclusions
Tank-automotive & Armaments COMmand
• TACOM-ARDEC Warheads• Long history of warheads design• Technology development• Application
• Fragmentation Ammunition Requirements– ALACV, OCSW, OICW, M203 upgrade– Lightweight ammunition– Lethal fragmentation, various approaches
Fragmentation ModelingIntroduction
Tank-automotive & Armaments COMmand
• Natural Fragmentation– Limited lethality due to poor size distribution– Good structural characteristics (G load)
• Preformed and Scored Fragmentation– High lethality potential– Reduced structural integrity, efficiency issues
• Combined Fragmentation– Natural AND preformed/scored fragmentation– Multiple materials (eg: steel and tungsten)– Maintain structural integrity where required, use
preformed/scored fragmentation elsewhere– Require new modeling methodology
Fragmentation ModelingBackground
Tank-automotive & Armaments COMmand
• Warhead Mechanics (early time)– Arbitrary Lagrangian/Eulerian High Rate Continuum
Modeling: CALE (LLNL) finite difference program– Velocity and Mass Distributions
• Fragmentation Modeling– Hybrid Analytical and Empirical Approach– Natural Fragmentation: Mott based model– Preformed/Scored Fragmentation: Experimentally
based size distribution
Fragmentation ModelingModeling Methodology
Tank-automotive & Armaments COMmand
Fragmentation ModelingNatural Fragmentation: CALE
t=0 µsec, V/V0=1
t=8 µsec, V/V0=3
t=20 µsec, V/V0=14
ExplosiveHardened steel shell
Copper shaped charge liner
R
z
ΘCopperjet
Steelfragments v
r
Tank-automotive & Armaments COMmand
Fragmentation ModelingNatural Fragmentation: CALE
0 15 30 45 60 75 90 105 120 135 150 165 180
θ , degrees
0.0
0.1
0.2
0.3
0.4M
ass,
m/m
exp
5µsec, V/V0≈1.810µsec, V/V0≈4.320µsec, V/V0≈14.130 µsec, V/V0≈31.9Experimental Data
Tank-automotive & Armaments COMmand
0 15 30 45 60 75 90 105 120 135 150 165 180
θ , degrees
0.00
0.02
0.04
0.06
0.08
0.10
0.12
0.14
0.16
0.18
0.20
Vel
oci
ty, c
m/µ
s
CALE-MOTT analyses, t=20µsecExperimental DataCALE-MOTT analyses, t=8µsec
Fragmentation ModelingNatural Fragmentation: CALE
Tank-automotive & Armaments COMmand
Fragmentation ModelingNatural Fragmentation: Mott
∆θ
θj
Ri
rj
(Ri,zi)
R
z
Stress Release WaveFracture
Region UnderPlastic Expansion
Region StressRelieved
A2
B2
B2
A2
B1
A1A1B1
vj
Tank-automotive & Armaments COMmand
( )2/1
0
−
= jm
jj eNmN µ
32/32
=
j
jFj V
rPγρ
µ
j
jj
mN
µ=0
Fragment Size Distribution:
Total Number of Fragments:
γ is a statiscally based materialdependant constant
Fragmentation ModelingNatural Fragmentation: Mott
Tank-automotive & Armaments COMmand
Fragmentation ModelingNatural Fragmentation: Mott
0 5 10 15 20 25Normalized fragment mass m/µ
0.0
0.5
1.0
1.5
2.0N
orm
aliz
ed n
umbe
r of
fra
gmen
ts, N
/Ne
xp
Experimental DataCALE-MOTT analyses, t=20µs, γ =30CALE-MOTT analyses, t=8µs, γ=30CALE-MOTT analyses, t=8µs, γ=12CALE-MOTT analyses, t=8µs, γ=5
γ calibration γ=12 final value, V/V0=3 (t=8µs)
Tank-automotive & Armaments COMmand
0 15 30 45 60 75 90 105 120 135 150 165 180
Θ , degrees
0.00
0.25
0.50
0.75
1.00
1.25N
umbe
r of
fra
gmen
ts, N
/Ne
xp
CALE-MOTT analyses, N0, t=8µsecExperimental Data
Fragmentation ModelingNatural Fragmentation: Mott
γ=12 final value, V/V0=3 (t=8µs)
Tank-automotive & Armaments COMmand
t=0µsec , V/V0=1
t=20µsec, V/V0=4
t=30µsec, V/V0=6.8
R
z
ΘCopper jet
vrSteel fragments
Explosive Steel shell
Copper shaped charge liner
Fragmentation ModelingPreformed Fragmentation: CALE
Tank-automotive & Armaments COMmand
0 15 30 45 60 75 90 105 120 135 150 165 180
θ , degrees
0.00
0.02
0.04
0.06
0.08
0.10
0.12
0.14
0.16
0.18
0.20V
elo
city
, cm
/µs
t=10µsect=20µsect=30µsec
Fragmentation ModelingPreformed Fragmentation: CALE
Liner/Jet
Case
Tank-automotive & Armaments COMmand
0 15 30 45 60 75 90 105 120 135 150 165 180
Θ , degrees
0
10
20
30
Num
ber
of fr
agm
ents
Preformed, 2µ0 = 3grains, t=10µsec , V /V0=3.4
Fragmentation ModelingPreformed Fragmentation: Analysis
Tank-automotive & Armaments COMmand
• New Fragmentation Simulation Capability• Natural Fragmentation• Preformed and Scored Fragmentation• Combined Fragmentation
– Required new modeling methodology– Natural/Scored/Preformed, multiple materials– Currently being applied on the ALACV program
Fragmentation ModelingSummary