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EFFECTOFPROJECTILENOSESHAPEONBALLISTICRESISTANCEOFINTERSTITIAL‐FREESTEELSHEETS
K.M.Kpenyigba1,T.Jankowiak2,A.Rusinek1*,R.Pesci3,B.Wang4
1NationalEngineeringSchoolofMetz,LaboratoryofMechanics,Biomechanics,Polymersand
structures,1routed'ArsLaquenexycs6582057078MetzCedex3,France
2InstituteofStructuralEngineering,PoznanUniversityofTechnology,Piotrowo5,Poznan,Poland
3ENSAM‐ArtsetMétiersParisTechCERofMetz,LEM3UMRCNRS7239,4rueAugustinFresnel
57078MetzCedex3,France
4SchoolofEngineeringandDesign,Bruneluniversity,UxbridgeUB83PH,UK
Abstract
In this paper an experimental and numerical work is reported concerning theprocess of perforation of thin steel plates using different projectile nose shapes. Themaingoalistoanalyzehowtheprojectileshapemaychangetheballisticpropertiesofmaterials.Awiderangeofimpactvelocitiesfrom35to180m/shasbeencoveredduringthetests.Alltheprojectileswere13mmindiameterandthetargetswere1mmthick,assuchtheprojectilecanberegardedasrigidandthetargetsheetswereofinterstitial‐free(IF)steel.Themassratio(projectilemass/steelsheetmass)andtheratiobetweenthespanof thesteel sheetand thediameterof theprojectilewerekeptconstant,equal to0.38 and 3.85 respectively. To define the thermoviscoplastic behaviour of the targetmaterial, the Rusinek‐Klepaczko (RK) constitutivemodel [1] was used. The completeidentification of the material constants was done based on a rigorous materialcharacterization. Numerical simulations of some experimental tests were carried outusinganon‐linearfiniteelementcodeABAQUS/Explicit.Itwasfoundthatthenumericalmodelsareabletodescribethephysicalmechanismsintheperforationprocesswithagoodaccuracy.
Keywords:perforation,failure,impact,ballisticproperties
1. Introduction
Structuralimpacthasbeenstudiedforalongtime,andsuchaproblemisknownto be complex, both from experimental, analytical and numerical points of view. Themost important parameters affecting the ballistic capacity of a target plate are theprojectile (size, shape, density and hardness), the target plate (hardness/strength,ductility, microstructure and thickness) and the actual impact conditions (such as
*Corresponding author: [email protected]
Phone: +33 3 87 34 69 30
2
impactvelocityandprojectileincidenceangle).Thispaperconcentratesontheballisticcapacityof targets,with thevarying factorswillbeing thenoseshapeof theprojectileandthenormalimpactvelocity.Thenoseshapeofhardprojectileshasa strong influenceon the failuremodeand theballisticlimitofatarget[2–4].Corranetal.[5]investigatedtheeffectofprojectilemass,noseshapeandhardnesson thepenetrationof steelandaluminumalloyplates.Bluntandconicalprojectilesof12.5mmdiameterwereimpactedonplates1.3to5.9mmthickandconsideringavelocityrangingfrom50to250m/s.Themassoftheprojectilevariedfrom 15 to 100 g. They observed that the ballistic limit of the plate changes withprojectilemassandnoseshape.Goldsmithetal.[6]experimentallyinvestigatednormalimpactofcylindro‐conicalandbluntprojectiles intoaluminumandsteelsheet targets.The thicknessofaluminumtargetsvaried from1.78mmto25.4mmand thatof steelplatesvariesfrom1mmto19mm.Itwasobservedthatthenoseshapeofprojectilehadinsignificant effect on the ballistic limit. Ipson and Recht [7] found that conicalprojectilespenetratedthetarget ina lessefficientwaythanbluntprojectileswhenthetargetthicknesswasmoderate.However, forathinandthicktarget,anoppositetrendwas observed by the authors. This is due to the different modes of failure involved.ExperimentsinvestigationcarriedoutbyZukasetal.[8]showedthattheprojectilewithblunt nose shape has higher ballistic limit velocity. A more recent work done byKpenyigbaetal.[9]ontheimpactofblunt,conicalandhemisphericalshapeprojectileson 1mm thick mild steel sheets indicated that the ballistic limit is higher forhemisphericalshapeprojectile,followedbyconicalandbluntrespectively.Theauthorsalsoshowedthatthebluntprojectilefailedthetargetbyplugejectionduetoaprocessofhighspeedshearing,theconicalprojectilecausedfailurebypetalingduetoaprocessofpiercing and the hemispherical shape projectile led to radial hole expansion inducingnecking and radial cracks. Backman and Goldsmith [3] concluded that blunt shapeprojectiles caused failure through plugging, wedge projectiles by ductile holeenlargement and sharp nosed projectiles by petaling. Borvik et al. [2,10] studiedexperimentally and numerically the perforation of 12 mm thick Weldox 460 E steelplates and showed that the blunt projectiles caused failure by plugging, which wasdominatedbyshearbanding,whilehemisphericalandconicalprojectilespenetratedthetargetmainlybypushing thematerial in frontof theprojectileaside.Guptaetal. [11]reportedthatthefailureinthinductiletargetsoccurredthroughshearpluggingbybluntprojectiles, petal forming by ogive nosed projectiles and tensile stretching byhemisphericalprojectiles. Thehighvelocityimpactsofthehighstrengthprojectilesintomonolith 6 mm and sandwiched plates 2x6 mm of 45 and of Q235 steels wereinvestigated[12].Theresultspresentthenoseshape(ogivalorblunt)influenceontheballisticresistanceofthestructure.Theauthorsalsopresenttheinfluenceoftheorderof the material in sandwiched structures. The available experimental and numericalinvestigations on the perforation and penetration of ductile metal targets by rigidprojectiles aremostly restricted to a few specific nose shapes such as hemispherical,conical,ogivalandblunt.Inthiswork,someexperimentaltestswerecarriedoutonthinIFsteeltargetsinordertostudyindetailtheeffectofprojectilenoseshapeinstructural
3
impact at sub‐ordnance velocities.Moreover, an additional investigationwasmade tostudy the influence of a double‐nosed stepped cylindrical projectile. Based on theexperimental results, the ballistic curves were plotted for each projectile shape.Numerical simulations using a finite element code ABAQUS/Explicit were performedandtheresultsobtainedallowpredictionproperlythecompleteprocessofperforation.
2. Experimentalmaterialbehaviordescription
Thematerial studied is a 1mm thick sheet of a deep‐drawingquality IF steel. The IFsteel was developed to obtain an optimized compromise between the mechanicalstrength and the formability due to specific metallurgy without interstitial elements(interstitial‐free). It ismainlyusedforstructuralcomponentssubjecttofatigueimpactloading.Thechemicalcompositionofthematerial(inweight%)isgiveninTable1.Thissteelhasaferriticstructurewithmoreorlessequiaxialgrainsabout25μmindiameter.
Table1.ChemicalcompositionoftheIFsteel(weight%).
C S Mn P Si Cu Ni Cr Al V Sn
0,0018 0,007 0,095 0,009 0,006 0,026 0,015 0,023 0,06 0,001 0,003
Quasi‐static tensile tests were conducted on a universal test machine (eg.
Instron)anddynamictensile testswereperformedona fastservo‐hydraulicuniversalmachine (eg. Zwick). Awide range of strain rateswas covered at room temperature,
4 1 110 250s s .Thegeometryanddimensionsofthetensilespecimensusedinthe
characterization are given in Fig. 1. The thickness of the specimens is 1t mm . To
analyzethepossibleanisotropyofthematerialintheplaneofthesheet,thetensiontestswereperformedintwodirectionscomplementarytotherollingdirection: 1 45 and
2 90 .
Fig.1.Geometryanddimensionsofthetensilespecimens,Rusineketal.[13].
4
Rusineketal.[13,14]showedthatthesedimensionsofthetensilespecimens(Fig.1)areoptimum,whichallowstoachieveaproperlevelofstresscoupledwithsufficientductility.Theauthorshighlightedthatthisspecimendesignallowstoavoidgeometricaldisturbancesthatfrequentlytakeplacewhensmallsamplesareusedtoreachveryhighstrain rates during testing. For all tests performed, the true stress‐strain curveswereobtaineduptoincipientnecking.
ThecurvesintheFig.2showthattheeffectofrollingdirectionisnotinsignificantonthemacroscopicbehaviorof thesteelsheet.Accordingtothisresultcoupledtothemicroscopic observation, the isotropy is assumed in the description of the materialbehavior.
0
100
200
300
400
500
0 0.05 0.1 0.15 0.2 0.25 0.3 0.35
Material: IF steel
T0 = 300 K
0°45°90°
Tru
e st
ress
,
(M
Pa)
True strain, (-)
s-1.
Fig.2.Comparisonofquasi‐statictensileflowcurvesinthreedirections:0°aswellas45°
and90°.The true stress‐strain curves at different strain rates are shown inFig.3. The
firstobservationisanincreaseoftheflowstressandtheyieldstressasthestrainrateincrease.Forahighstrainrate,thecurveschangeshapesparticularlybythepresenceofathermalsofteningduetolocaltemperatureelevationduringthetests.Theloadingtimeis short and the temperature does not have time to dissipate through the specimen.During these tests, neckingwhichdiffuses into the specimen to cause the final failure
occursmuchearlierthanfortestsat lowstrainrates.Forthestrainrateof1250 s ,
themacroscopicmaterialbehaviorissubstantiallydifferentatthebeginningofloading.A significant peak stress (450 MPa) is observed. This peak is related to themicrostructureofthematerialandmoreparticularlytothedislocationdensity.Similarbehavior has been reported in [15,16] or in [17] where the level of carbon on themacroscopicbehaviorhasbeenstudied. Itwasobservedthatadecreaseof thecarbonlevelwasdissipating thepeak stress at thebeginningof loading.There is a relatively
5
high hardening for quasi‐static solicitation andwhich decreaseswhen the strain rateincreases.TheIFsteelhasapositivesensitivitytostrainrateasmostmaterialswithbcccrystallographicstructure.Thissensitivitytothestrainrateoftheflowstressisdefinedby:
,log
T
(1)
0
100
200
300
400
500
0 0.05 0.1 0.15 0.2 0.25 0.3 0.35
10-4 s-1
10-3 s-1
10-2 s-1
1 s-1
100 s-1
250 s-1
Tru
e st
ress
,
(M
Pa)
True strain, (-)
Material: IF steel
T0 = 300 K
Fig.3.ComparisonoftruestressversustruestraincurvesofIFsteelatdifferentstrainrates.
It can be observed that the strain rate sensitivity at room temperature is not
constant,Fig.4.ThreecharacteristicregionswithdifferentsensitivitytothestrainratewerereportedbyCampbellandFerguson[18].
Inthenextsection,theconstitutiverelationusetodescribethematerialbehavior,
the comparison between the experimental data and analyticalmodeling are reportedanddiscussed.
6
0
100
200
300
400
500
10-5 0.0001 0.001 0.01 0.1 1 10 100 1000
( s-1 ).
Tru
e s
tres
s,
(M
Pa)
Material: IF steel
T0 = 300 K
= 0.1
Fig.4.Flowstressevolutionasafunctionofthestrainrateatroomtemperaturefora
strainlevelimposedof 0.1 .
3. Thermoviscoplasticmodelingofmaterialbehavior
Several constitutive relations are available in the literature and used in finiteelement code to predict the distribution of plastic deformation and the failure instructures impact. Some of them are limited to perfectly plastic approximations withsomevisco‐plasticity.Moresophisticatedversions,suchasthosethattakeintoaccountthe effect of the strain rate, temperature and hardening on the flow stress are alsoavailable nowadays. In this work, the RK constitutive relation is used. The model ispartially based on the theory of dislocations and its phenomenological description isbasedontheadditivedecompositionofthetotalstress[19]:
0
( )( , , ) ( , , ) ( , )
E TT T T
E (2)
whereeachtermofthepreviousexpression,Eq.(2),isdefinedbelow.Themultiplicativefactor 0( )E T E definesYoung’smodulusevolutionwithtemperature
[20]:
0( ) 1 exp 1 0m
m
TTE T E T
T T
(3)
where 0E , mT and * arerespectivelytheYoung’smodulusat 0T K ,themelting
temperatureandthecharacteristichomologoustemperature.Thisexpressionallowsto
7
definethematerialthermalsofteningdependingonitscrystallattice[21].Inthecaseofbccmetalslikesteel * 0.6 .
Theinternalcomponentofthetotalstresscalledtheathermalstressisdefinedbythefollowingequation:
( , )0( , , ) ( , )( )n TT B T
(4)
where, ( , )B T is the modulus of plasticity, ( , )n T the hardening coefficient (
( , )B T and ( , )n T dependonthestrainrateandtemperature)and 0 is thevalueofstrain
correspondingtotheyieldstressatagivenstrainrateandtemperature.
The authors propose the following formulations to describe the modulus ofplasticityandstrainhardeningexponent:
max0( , ) log 0
m
TB T B T
T
(5)
0 2min
( , ) 1 logm
Tn T n D
T
(6)
where 0B isthematerialconstant, proportionaltotemperaturesensitivity, 0n
thestrainhardeningexponentat 0T K , 2D thematerialconstant, min thelowerstrain
ratelimitofthemodeland max themaximumstrainratelevelacceptedforaparticular
material.TheMacaulayoperatorisdefinedasfollows: 0, otherwise 0if .
Theeffectivestress ( , )T istheflowstresscomponentwhichdefinestherate
dependent interactions with short range obstacles. It denotes the rate controllingdeformation mechanism from thermal activation. At temperatures T > 0 K, thermalactivationassiststheappliedstress.
The theory of thermodynamics and kinetics of slip [22] is founded on a set ofequations which relate activation energy G , mechanical threshold stress (MTS),applied stress , strain rate , temperature T and determined physical materialparameters. Based on such understanding of the material behavior, Rusinek andKlepaczko [1] derived the following expression, Eq. (7). This formulation gathers thereciprocity between strain rate and temperature by means of an Arrhenius typeequation:
8
max0 1( , ) 1 log
m
m
TT D
T
(7)
where 0
istheeffectivestressat 0T K , 1D thematerialconstantand *m the
constantdefiningthereciprocitystrainrate‐temperature[19].
In the case of adiabatic conditions of deformation the constitutive relation iscombined with the energy balance principle, Eq. (8). Such relation allows for anapproximation of the thermal softening of the material by means of the adiabaticheating.
f
e
0 0p
T T T T dC
(8)
where istheQuinney‐Taylorcoefficient, thedensityofthesheetsteel, pC the
specificheatand thefailurestrainlevel,Table2.
SubsequentlyastraightforwardmethodwasproposedbyRusinekandKlepaczko[1,23] for themodelcalibration. Itallowsdefining themodelparametersstepbystep.Contrary to other constitutive descriptions, the procedure does not involve a globalfitting. It must be noticed that the constants are defined using physical assumptions[1,23].
Themainstepsnecessaryfordefiningthemodelparametersare:
It isassumedthatat lowstrainrate 10.001s , thestresscontributiondueto
thermalactivationisreducedandinthiscasethefollowingrelationis imposed,Eq. (9).Thus, it ispossible todefine theconstant 1D dependingon themelting
temperature mT .
1300 ,0.001
1
max1
( , ) 0
300log
0.001
K s
m
T
DT
(9)
Therefore,atroomtemperatureandunderquasi‐static loadingthecontribution
ofthethermalstresscomponenttothetotalstressiszero.Theoverallstresslevelis defined by Eq. (10). Fitting this equation to experiment results, a firstestimationofB andn canbefound.
9
00
(300)( ,0.001,300) ( ) 0
,
nEB
E
B n first approximation
(10)
Next, itisassumedthattheincreaseoftheflowstresscausedbythestrainrate
augmentisduetothethermalstress *( , )T .Thus,thestressincreaseisdefined
as follows, Eq. (11). Fitting of Eq. (11) to experimental results for an imposedstrain level,makes it possible to determine thematerial constants * and *m .The strain level should be assumed not more than 0.1 in order to guaranteeisothermal condition of deformation. For larger strain values, adiabaticconditionsmay inducea thermalsofteningonthematerialandinsuchacaseadecreaseofthestrainhardening.
1 10.001 0.001
0
( , )
,
s sT
m
(11)
Finally, combining the complete equation of the total stress (Eq. 2) with theexperimentalresultsandreplacingtheparametersdeterminedabove,itallowstodeterminetheparameters ( , )B T and ( , )n T dependingonthestrainrateand
temperature.
ThecurvesfromRKmodelingareplottedinFig.5.a.Itisnotedthatthehardeningdecreaseswiththestrainrate.
a) b)Fig.5.a‐RKmodelfordifferentstrainrates;b‐ComparisonbetweenRKmodelingand
experimentaldata.
0
100
200
300
400
500
0 0.05 0.1 0.15 0.2 0.25
RK model, 10-4
s-1
RK model, 10-3
s-1
RK model, 10-2
s-1
RK model, 1 s-1
RK model, 100 s-1
RK model, 250 s-1
True strain, (-)
Material: IF steel
T0 = 300 K
0
100
200
300
400
500
0 0.05 0.1 0.15 0.2 0.25
Experiments, 10-3
s-1
Experiments, 100 s-1
Experiments, 250 s-1
RK model, 10-3
s-1
RK model, 100 s-1
RK model, 250 s-1
True strain, (-)
Material: IF steel
T0 = 300 K
A
dynamideterm
Table
Acier IF
4. E
4
Bplatesuexperima gas lprocessprojectmeasurpositiondescrip
Analyticalic loading
minedforth
2.Constant
D1 (‐) D2(‐
0.48 0.79
Experim
4.1Expe
Ballistic peusingrigidmentalappauncher, Fsingofdataile velocityre the initned behindptionofthe
( )
0.9
approximawith a go
hematerial
tsusedtod(2),and
‐) n0(‐)
9 0.35
entalper
rimental
erforation tdprojectilearatususedFig. 6, andaprovidedy. The firsttial impactd the targperforatio
Fig.6.E
ations areood agreemIFaresum
describethetodescribe
B0 (MPa)
636.9 1
rforation
lset‐upd
tests haveswithdiffedforthereauxiliarybythetestt sensor lot velocityet allowsonprocessi
Experimenta
pC
comparedment, Fig.mmarizedin
emechanicatemperatu
min
(s‐1)
(
410 1
ntests
descriptio
been carrferentnoseealizationoequipmentts:especialocated at thof the prto measurisavailable
aldeviceus
1p (JKg K
470
with expe5.b. The
nTable.2.
albehaviorureincrease
max
(s‐1) (
710 0.2
on
iedout oneshapesanofballisticits requiredllythetwohe end ofrojectile are the resiein[9,24].
sedforimpa
1)
riments froconstants
basedonthe,Eq.(8)
(‐) 0 (‐)
25 0.018
1mm thicndapneummpacttestd for the rsensorsusthe launchnd the sedual veloc
acttests.
om quasi‐sof the mo
theRKmod
*m (‐)
1.51
ck IF steelmaticgasgtsconsistmrecordingsedtomeasher tube alecond senscity. The co
3(kgm )
7800
static toodel RK
el,Eq.
*0
(MPa)
313.24
l targetsgun.Themainlyofand thesurethellows tosor justomplete
10
Tnose shhemispwithaassumeconfigu
energy
p 13
TThe actsupportthe provelocitisheet.
Fig.Conic
Theprojechape suchpherical‐conheattreatmedasrigidurationthe
so that tmm .
Thedimentive part istallowingojectile inies was co
7.Projectilcalprojecti
ctilesusedas conical,nical (projementtorea(withoutmprojectile
he shape
nsionsof ths 100*100thereductthe centransidered f
a)
c)
eshapesusile;c‐Hemi
inthisstud, hemispheectileB),Fachayieldmushroomemasswask
effect can
he squarepmm2, theionofeffecal zone asfor a comp
sedduringpispherical+
(p
dyweredeerical, hemFig.7.Theydstressof2effect)durikeptconsta
be analyz
platesusedthicknessctduringthshown inplete defini
perforation+conical(prprojectileB)
esignatedamisphericalyareallma2GPa.Theingtheproant, pm 3
zed. The d
dduringexis 1mmanhetest.TheFig. 8. A wition of the
ntests.a‐HerojectileA)B).
accordingt+ conicalachined frorefore,theocessofper0 g ,tohav
diameter o
xperimentsnd it is embeplatehaswide rangee ballistic
b)
d)
emispherica;d‐Hemisp
totheirres(projectileomMaragieprojectilerforation.Fvethesame
of all proje
s are givenbedded onbeenimpae of initialcurve of th
calprojectilpherical‐con
spective A) andngsteelmaybeForeachekinetic
ectile is
n,Fig.8.n a rigidactedby impacthe steel
le;b‐nical
11
12
Fig.8.Geometryofthesteelplatesusedduringperforationtests,thickness1mm.
4.2Experimentalresultsunderballisticimpact In this part, the influence of the projectile shape on the perforation tests isstudied.Theballisticcurves 0RV V forprojectilearereportedonFig.9.
Theconicalandhemisphericalshapesaregenerallyusedtoanalyzetheprocessof failure.The first one induces a failuremodebypetaling and the secondone aplugejection due to circumferential necking. A previous analysis has been published byKpenyigbaetal.[9].Inadditiontothesetwoshapes,projectilescouplinghemisphericaland conical design (projectile A and B) have been used. The conical end allows toperforate the plate more easily by a process of piercing. The projectile damages thetargetplatebyradialneckingandpetalforming.Thefailureisdominatedbytheprocessof high‐speed piercing as in the case of a conical projectile. For projectile B, amix offailuremodesisobserved:petalingandradialcracks. Itisobserved,basedontheexperimentalresultsthattheconicalprojectileshapeallowstodecreasetheballisticlimit BV ofthematerialconsidered,Fig.9,incomparison
with the hemispherical projectile. Moreover, keeping the same conical nose angle
p 72 coupledtoahemisphericalprojectile,Fig.7‐c‐d,theballisticlimitislowerthanConicalbV 6 m / s compared to the conical projectile,Fig.7‐b. The difference is close toHemisphericalbV 10 m / s between shapeA andB and thehemispherical projectile.Using a
reducedconicalshapeprojectilenoseallowstoinduceafailuremodebypiercing.After
13
that,whenaholeisinitiatedtheprocessofholeenlargementiseasierandthevelocityofthe projectile is less reduced. Thismechanism is discussed in details using numericalobservationsintermsoffailuretime.
0
50
100
150
200
0 50 100 150 200
Projectile A
Projectile B
Conical projectile
Hemispherical projectile
Res
idu
al v
elo
city
, VR (
m/s
)
Initial impact velocity, V0 (m/s)
IF steelPlate thickness: 1mmProjectile mass: 30Dry contactDiameter: 13 mm
Fig.9.Experimentalresultsintermsofresidualvelocitiesfordifferentprojectilesshapes.
Theballisticcurvesingeneralwereapproximatedusingtheproposedanalytical
equationofRechtetal.[25]whoseformulationforthinplatesisasfollows:
1
R 0 BV V V (12)
where BV istheballisticlimitand isafittingparameter.
Table3.ConstantsusedtofitexperimentsbasedonEq.(12).
Conical Hemispherical A B
2.21 2.39 2.25 2.28
86.5 /BV m s 90 /BV m s 78 /BV m s 79 /BV m s
14
Thedifferencebetweentheballisticcurvesisgreaterattheballisticlimitthanathigh impact velocities ( 0 150 /V m s ). When the residual velocity RV is higher, the
energy absorbed by the plate to perforate is lower, as seen in Fig. 10. During theperforationoftheplate,apartofthekineticenergyoftheprojectileisabsorbedbytheglobal deformation of the steel sheet, the localized plastic deformation in the impactzone and the elastic work. The residual kinetic energy is quite simply the residualenergy of the projectile after impact. If the impact velocity is lower than the ballisticlimit, theenergyabsorbedbytheplate isdirectly thekineticenergyof theprojectile(
201 2 pm V ). The balance of the energy absorbed by the plate during perforation is as
follows[26]:
2 20
1
2Total K E P F KPlate Plate Débris p BW W W W W W m V V (13)
where K
PlateW , EW , PW , FW and KDebrisW arerespectivelytheenergyrelatedtothe
global deflection of the plate, the elastic deformation energy, the plastic deformationenergy, the energy related to the phenomenon of friction and the kinetic energytransferredtothefragmentsejectedduring impact(ejectionofplugforexamplewhenthe hemispherical projectile is used). As shown in [9], the loss of energy due to thefrictioneffectcanbedisregardedandtheenergytransferredtothefragmentsisminor(
0FW , 0KDébrisW ).Theenergybalanceisthenreducedasfollows:
2 20
1
2Total K E PPlate Plate p BW W W W m V V (14)
Theevolutionof TotalPlateW asafunctionof 0V obtainedexperimentallyforeachkind
ofprojectileshapeispresentedinFig.10.
15
0
50
100
150
200
250
300
0 50 100 150 200
Projectile AProjectile BConical projectileHemis projectile
En
erg
y (J
)
Initial impact velocity, V0 (m/s)
Kinetic energy of the projectile
Limit for no failure
IF steelPlate thickness: 1mmProjectile mass: 30Dry contactDiameter: 13 mm
Fig.10.Experimentalresultsintermofabsorbedenergyfordifferentprojectilesshapes.
Adecreaseoftheabsorbedenergywiththeimpactvelocityisgenerallyobserved:
anincrementofimpactvelocityleadstoafastlocalizationofthedeformationandquickfailureofthetarget.
To estimate the time necessary for the projectile to perforate the plate, calledfailure time, the experimental perforation tests were recorded using a high speedcamera Phantom v710. The failure time is defined as the time elapsing between thebeginningoftheimpactandwhenthenoseoftheprojectilepassescompletelythroughtheplate,asshowninFig.11(caseofaconicalprojectile).
30μs ‐impact
150μs ‐pénétration 182μs ‐perforation
Fig.11.Perforationprocessstepsusingaconicalprojectile, 0 178 /V m s .
Theexperimental results in termsof failure timeas a functionof initial impact
velocityarereportedinFig.12.Forallprojectilesstudied,thefailuretimedecreasewiththeimpactvelocity.Thehigheristheprojectileinitialvelocity,thefasteristheprocessofperforation.
16
0
100
200
300
400
500
80 100 120 140 160 180 200
Projectile AProjectile BConical projectileHemispherical projectile
Fa
ilure
tim
e (
s)
Initial impact velocity (m/s) Fig.12Failuretimedependingontheinitialimpactvelocityfordifferentprojectiles.
Apartfromthelowerspeedrange,ingeneral,thefailuretimeisloweratthesame
impact velocity for projectile A, followed by projectile B, then the conical and thehemisphericalprojectiles,respectively.
5. Numericalmodelfordynamicperforation
The impactandperforationtestsusingarigidprojectileagainstthinsteelsheetwerenumericallyanalyzedforthepurposetopredicttheexperimentalobservation.ThefiniteelementcodeABAQUS/Explicitwasusedtosimulatetheprocess.
5.1DescriptionofthenumericalmodelIn all simulations, the projectile was modeled as a three‐dimensional non‐
deformablerigidbody(discrete)withareferencepointtoaffectvelocity.Themassandinertiamomentswereautomaticallycalculatedbasedontheshape,volumeanddensityoftheprojectileandassignedtoitsreferencepoint.Thetargetwasmodeledasathree‐dimensionaldeformablebody,Fig.13.Thecontactbetweentheprojectileandtheplatewas modeled using the penalty method with finite sliding formulation. A constantcoefficient of friction 0.2 was applied based on experimental studies made by
Jankowiaketal.[27]andRusineketal.[28].Inordertooptimizethemesh,aftertryingseveralapproachesandtakingintoaccounttheinfluenceoftheelementtype,themeshdensityandthecomputationtime,wechosentodividethegeometryoftheplateintwoparts:acircularcentralpartof30mmdiameter(morethandoubleof thediameterofthe projectile, allowing to begin the process of crack propagation accurately withoutsignificant effects on the energy balance) and an exterior part that complements the
17
structure tohavearectangular target.Thecentralpartof theplatewasmeshedusingC3D8R elements (8‐node linear brick, reducing integration with hourglass modecontrol)availableintheAbaquslibrary[29].Thistypeofhexahedralelementareusedwith success in nonlinear plasticity analysis [9,26,28,30,31]. The effect of hourglassmode is controlledusingenhancedmethod [26]andanoptimalmesh.Thestabilityofthe resultsand itsmesh sizedependencewerepreviously checked [8,24].TheaspectratioofelementswasmaintainedclosetounityasrecommendedbyZukasandScheffler[32].Aconvergencestudyusingalinearhexahedralelementintheimpactzonewiththeinitialsize 0.2x y z mm ensuresthestabilityofthenumericalsolutionwithout
mesh sensitivity effect and with optimal time computation. The central part of thenumericalmodel has 110390elements (5 elements through the thickness of the steelplate).TheexternalpartwasmeshedusingC3D8Ihexahedralelements(8‐node linearbrickwith incompatiblemode). These elements have an additional internal degree offreedom which enhances the ability to model an additional displacement gradientthroughtheelement,therebyimprovingthebendingbehaviorofthestructure.ThesizeofC3D8Ielementsusedwas 0.5x y z mm (twoelementsalongthethicknessof
the steel sheet), leading to a total of 73 640 elements in the external part of thenumericalmodel,Fig.13.
Fig.13.Numericalmodelusedinthisworkandmeshdensitydistribution.
Centralpart
Exteriorpart
Zoomoncentralpart
18
ThematerialbehavioroftheIFsteelusedasatargetwasincorporatedthrough
RK thermoviscoplastic material model described previously (Eq. 2). Using the flowstress definition provided by the RK relation is possible to particularize the heatequation (Eq. 8). Thus, the temperature increase is decomposed in two contributions
duetotheinternalstress ( , , )T andtheeffectivestress ( , )T :
int
0
( )( , , ) ( , )
f
e
ernal stress effectivestress
p
T T T
E TT T T d
C E
(15)
Inordertoreproducetheperforationprocessitisnecessarytoconsiderafailure
criterion.Inthiswork,thefailurecriterionusedisbasedontheworkbyWierzbickietal.[33,34]whoshowedthattheequivalentstrainatfailureexpressedasafunctionofthestress triaxialitywould bemore appropriate for problems involving fast loading. Thegeneralformofthistypeoffailurestraincanbewrittenasfollows:
( ) ( )mf f f
(16)
where f is the effective plastic strain to failure and is the stress triaxiality
defined by the ratio of the mean stress m to the equivalent stress . This kind of
fracture model is expressed in the code Abaqus by erosive criterion inducinginstantaneousremovalofanelementwhenanimposedplasticstrainlevelisreachedintheelement.Thisfailurecriterionmodelbasedontheleveloffailurestrainisoftenusedfor dynamic applications [35–37]. The average value of the stress triaxiality can beestimated justbefore the failureof the target foreachprojectile studiedbasedon theworkofLeeandWierzbicki[38].Basedonaprocessofoptimizationforthewholerangeof impact velocities considered, the failure strain was estimated depending on theprojectile shape, given in Table 4. The process of numerical optimization was tominimizetheerrorontheresidualvelocitybasedonexperiments.Moredetailsontheoptimizationprocessareavailablein[9,24].
Table4.Failurestrainvaluesusedtosimulateperforationdependingontheprojectileshape.
ProjectileA ProjectileB Conicalshape HemisphericalshapeFailurestrainlevel, f (‐) 1.2 1.2 1.2 0.65Stresstriaxiality, 1/3 1/3 1/3 2/3
Numericalsimulationwereperformedforawiderangeofinitialimpactvelocities
( 020 / 200 /m s V m s )tocovertherangeofvelocitiesinvestigatedexperimentally,and
to provide an accurate and global description of the ballistic curves. All numerical
19
results in terms of ballistic curves, failuremodes, the energy absorption balance andfailuretimearepresentedanddiscussedinthenextsub‐section.
5.2NumericalresultsanddiscussionTheresultsobtainedfromthenumericalpredictions intermsofballisticcurves
R 0V V arecomparedtoexperimentsforeachprojectileandarepresentedinFig.14.A
smalldifference is observed for impact velocities close to theballistic limit.At impactvelocities greater than the ballistic limit ( 0 100 /V m s ), a good agreement with the
experimentalresultsisgenerallyobtained.
a) b)
c) d)
Fig.14.Definitionoftheballisticcurve,comparisonbetweenexperimentsandnumericalsimulations.a‐ProjectileA;b‐ProjectileB;c‐Conicalprojectile;d‐Hemisphericalprojectile.
0
50
100
150
200
0 50 100 150 200
Experimental
Numerical
Initial impact velocity, VR (m/s)
IF steelPlate thickness: 1mmProjectile A, m: 30 gDiameter: 13 mm
0
50
100
150
200
0 50 100 150 200
Experimental
Numerical
Initial impact velocity, VR (m/s)
IF steelPlate thickness: 1mmProjectile B, m: 30 gDiameter: 13 mm
0
50
100
150
200
0 50 100 150 200
Experimental
Numerical
IF steelPlate thickness: 1mmConical projectile, m: 30 gDiameter: 13 mm
Initial impact velocity, VR (m/s)
0
50
100
150
200
0 50 100 150 200
Experimental
Numerical
IF steelPlate thickness: 1mmHemispherical projectile, m: 30 gDiameter: 13 mm
Initial impact velocity, VR (m/s)
20
Numericalpredictionsoftheballisticlimitvelocitiesare85m/sforprojectileA,
86 m/s for projectile B, 90 m/s for the conical projectile and 93 m/s for thehemisphericalprojectile.TheballisticcurvesofprojectileAandBarealmostthesame,withtheirballisticperformanceimprovedbythedoublenoseshape.
The failuretimewasalsoestimatednumericallyusing thesamedefinitionas inthe experiments.The comparison is illustrated inFig.15, showing adecreased failuretimeinincreasedimpactvelocityforallshapesofprojectiles.Thisisreasonablebecausethehighertheimpactvelocityis,thelesstimetheprocessofperforationtakes.
a) b)
c) d)
Fig.15.Failuretimeasafunctionofinitialimpactvelocity,numericalresultscomparedtoexperimentalones.a‐ProjectileA;b‐ProjectileB;c‐Conicalprojectile;d‐
Hemisphericalprojectile.
0
100
200
300
400
500
600
80 100 120 140 160 180 200
Experimental
Numerical
Initial impact velocity (m/s)
IF steelPlate thickness: 1mmProjectile A, m: 30 gDiameter: 13 mm+5%
-5%
0
100
200
300
400
500
600
80 100 120 140 160 180 200
Experimental
Numerical
Initial impact velocity (m/s)
IF steelPlate thickness: 1mmProjectile B, m: 30 gDiameter: 13 mm
+5%-5%
0
100
200
300
400
500
600
80 100 120 140 160 180 200
Experimental
Numerical
Initial impact velocity (m/s)
IF steelPlate thickness: 1mmConical projectile, m: 30 gDiameter: 13 mm+5%
-5%
0
100
200
300
400
500
600
80 100 120 140 160 180 200
Experimental
Numerical
Initial impact velocity (m/s)
IF steelPlate thickness: 1mmHemispherical projectile, m: 30 gDiameter: 13 mm
+5%-5%
21
Thereisagoodagreementbetweenthenumericalpredictionsandexperiments.Theerrorsarelessthan±5%.Atafixedimpactvelocity,projectileBtakeslesstimethanallotherprojectilestoperforatetheplate,followedrespectivelybytheconicalprojectile,projectileAandthehemisphericalprojectile.
All failuremodesobtainedexperimentallywerereproducednumerically,showninFig.16.Numericalresultsshowafailuremodebypetalsformingforconicalprojectileaswell asprojectilesA andB. For thehemispherical projectile, aplug ejection failuremodewasobtained.ThepetalsformedbyprojectilesAandBarebroader,andthosebyaconicalprojectilearemorepointed.itisalsobelievedthatitistheconicalnoseoftheprojectilesAandBwhichgovernsthefailureofthetarget.
a)
b)
c)
d)
e)
f)
22
g) h)
Fig. 16. Comparison between the failure modes obtained numerically and experimentally. a‐ Projectile A, numerical; b‐ Projectile A experimental; c‐ Projectile B, numerical; d‐ Projectile B,
experimental; e‐ Conical projectile, numerical; f‐ Conical projectile, experimental; g‐ Hemispherical projectile, numerical; h‐ Hemispherical projectile, experimental. The pictures in Fig. 16 clearly show that the numerical models qualitatively
reflect theoverall physical behavior of theplateduring the impact andperforation.Alocalization of the plastic strain is noted at the ends of the petals in the case of theconicalprojectileaswellasprojectilesAandB,but inthezonesoftheneckingforthehemisphericalprojectile.Themaximumequivalentfailurestraincorrespondstothatsetbythefailurecriterionforeachprojectilesshape.
Wealsomeasuredtheoveralldeflectionoftheplateforeachprojectileshape.Thecomparison between experimental and numerical results is presented in Fig. 17. Thenumerical simulation is in perfect agreement with the experiment. The maximumdeflectionmeasuredis14mmforthecaseoftheconicalprojectileduetothepetalsandtheminimum is 12mm for the hemispherical projectile. Because the thickness of theplateislow(1mm)comparedtothediameteroftheprojectile(13mm),thedeflectionoftheplatedoesnotchangesignificantlywiththeimpactvelocitywhenit isgreaterthantheballisticlimit.
a) b)
0
5
10
15
20
25
30
-60 -40 -20 0 20 40 60
Experimental
Numerical
Length of the plate (mm)
IF steelThickness: 1mmProjectile ADiameter: 13 mm
V0 = 100 m/s
0
5
10
15
20
25
30
-60 -40 -20 0 20 40 60
ExperimentalNumerical
Length of the plate (mm)
IF steelThickness: 1mmProjectile BDiameter: 13 mm
V0 = 100 m/s
23
c) d)Fig.17Globaldishingof1mmand1mmthicktarget.a‐ProjectileA;b‐ProjectileB;c‐
Conicalprojectile;d‐Hemisphericalprojectile.
6. Conclusions
Experimental and numerical investigations have been made on an IF steelsubjected to impact and perforation loading. Material tests were performed todeterminethematerialconstantsfortheconstitutiverelationproposedbyRusinekandKlepaczko[1]totakeintoaccounthardening,strainrateandtemperaturesensitivities.Four different shapes of projectile were considered in this work such as a conical, ahemisphericaland twodoublenose (combinationof conicalandhemispherical shape)projectile.Theballistic limitforeachprojectileshapewasdeterminedandtheballisticcurves plotted. It is found that the ballistic limit, the failure mode and the energyabsorptioncapacityofthetargetarestronglylinkedtotheprojectilenoseshape.Energyabsorbedby theperforated structure isdissipatedby itsoveralldeflection, theelasticdeformation and plastic deformation in the localized impact area. The hemisphericalprojectileistheleastefficienttoperforatethetargetfollowedrespectivelybytheconicalprojectile, projectile B and A. This observation is confirmed bymeasuring the failuretime of the target using a high speed camera. Indeed, at a giving impact velocity, theprojectileAtakeslesstimetoperforatethetarget,followedrespectivelybyprojectileB,conical and hemispherical projectile. A numerical analysis of the impact problem hasbeenmadeusingthefiniteelementcodeABAQUS/Explicit.ThemechanicalbehaviorofthetargetmaterialhasbeenimplementedinthecodeusingtheRKconstitutiverelation.Theresultsobtainedfromthenumericalpartwerecomparedtoexperimentsandagoodagreement is observe in terms of failuremode, ballistic limit, ballistic curves, energyabsorbedbythetargetandtheglobaldeflectionofthetarget.
0
5
10
15
20
25
30
-60 -40 -20 0 20 40 60
Experimental
Numerical
Length of the plate (mm)
IF steelThickness: 1mmConical projectileDiameter: 13 mm
V0 = 100 m/s
0
5
10
15
20
25
30
-60 -40 -20 0 20 40 60
Experimental
Numerical
Length of the plate (mm)
IF steelThickness: 1mmHemispherical projectileDiameter: 13 mm
V0 = 100 m/s
24
Acknowledgements
AuthorsthanktotheNationalCentreofResearchandDevelopmentforfinancialsupportunderthegrantWND‐DEM‐1‐203/00.
References
[1] RusinekA,KlepaczkoJR.Sheartestingofasheetsteelatwiderangeofstrainratesandaconstitutiverelationwithstrain‐rateandtemperaturedependenceoftheflowstress.IntJPlast2001;17:87–115.
[2] BorvikT,LangsethM,HoperstadOS,MaloKA.Perforationof12mmthicksteelplatesby20mmdiameterprojectileswithflat,hemisphericalandconicalnosespartI:experimentalstudy.IntJImpactEng2002;27:19–35.
[3] BackmanM.E.,GoldsmithW.Themechanicsofpenetrationofprojectilesintotargets.IntJEngSci1978;16:1–99.
[4] CorbettGG,ReidSR,JohnsonW.ImpactLoadingofPlatesandShellsbyFree‐FlyngProjectiles :AREVIEW.IntJImpactEng1996;18:141–230.
[5] CorranRSJ,ShadboltPJ,RuizC.Impactloadingofplates:Anexperimenttaleinvestigation.IntJImpactEng1983;1:3–22.
[6] GoldsmithW,FinneganAS.Normalandobliqueimpactofcylindro‐conicalandcylindricalprojectilesonmetallicplates.IntJImpactEng1986;4:83–105.
[7] IpsonTW,RechtRF.BallisticPerforationbyFragmentsofArbitraryShape,NWCTP5927.DenverResInstitute,NavWeaponsCentre,USA1977.
[8] ZukasJA.Impactdynamics.NewYork:Wiley;1982.
[9] KpenyigbaKM,JankowiakT,RusinekA,PesciR.Influenceofprojectileshapeondynamicbehaviorofsteelsheetsubjectedtoimpactandperforation.Thin‐WalledStruct2013;65:93–104.
[10] BorvikT,LangsethM,HoperstadOS,MaloAK.Perforationof12mmthicksteelplatesby20mmdiameterprojectileswithflat,hemisphericalandconicalnosespartII:numericalstudy.IntJImpactEng2002;27:37–64.
[11] GuptaNK,IqbalMA,SekhonGS.Effectofprojectilenoseshape,impactvelocityandtargetthicknessondeformationbehaviorofaluminumplates.IntJSolidsStruct2007;44:3411–39.
[12] YunfeiD,WeiZ,YonggangY,LizhongS,GangW.Experimentalinvestigationontheballisticperformanceofdouble‐layeredplatessubjectedtoimpactbyprojectileofhighstrength.IntJImpactEng2014;70:38–49.
25
[13] RusinekA,CherigueneR,BäumerA,LarourP.Dynamicbehaviourofhighstrengthsheetsteelindynamictension:experimentalandnumericalanalyses.JStrainAnalEngDes2008;43:37–53.
[14] RusinekA,ZaeraR,KlepaczkoJR,CherigueneR.Analysisofinertiaandscaleeffectsondynamicneckformationduringtensionofsheetsteel.ActaMater2005;53:5387–400.
[15] UenishiA,TeodosiuC.Constitutivemodellingofthehighstrainratebehaviourofinterstitial‐freesteel.IntJPlast2004;20:915–36.
[16] KlepaczkoJ.Thestrainratebehavioroftheironinpureshear.IntJSolidStruct1969;5:533–48.
[17] MimuraK,TanimuraS.Astrain‐rateandtemperaturedependentconstitutivemodelwithunifiedsetsofparametersforvariousmetallicmaterials.IUTAMSympNoda,Japan1995:69–76.
[18] CampbellJD,FergusonWG.Thetemperatureandstrainratedependenceoftheshearstrengthofmildsteel.PhilosMag1970;21:63–82.
[19] KlepaczkoJR.Apracticalstress–strain–strainrate–temperatureconstitutiverelationofthepowerform.JMechWorkTechnol1987;15:143–65.
[20] KlepaczkoJR.AgeneralapproachtoratesensitivityandconstitutivemodelingofFCCandBCCmetals.ImpactEffFastTransientLoadings,Rotterdam1988:3–35.
[21] RusinekA,KlepaczkoJR.ExperimentsonheatgeneratedduringplasticdeformationandstoredenergyforTRIPsteels.MaterDes2009;30:35–48.
[22] KocksUF,ArgonAS,AshbyMF.Thermodynamicsandkineticsofslip.ProgMaterSci1975;19.
[23] KlepaczkoJR,RusinekA,Rodríguez‐MartínezJA,PęcherskiRB,AriasA.Modellingofthermo‐viscoplasticbehaviourofDH‐36andWeldox460‐Estructuralsteelsatwiderangesofstrainratesandtemperatures,comparisonofconstitutiverelationsforimpactproblems.MechMater2009;41:599–621.
[24] KpenyigbaKM.Etudeducomportementdynamiqueetmodélisationthermoviscoplastiquedenuancesd’aciersoumisesàunimpactbalistique.universitédelorraine,2013.
[25] RechtRF,IpsonTW.Ballisticperforationdynamics.JApplMech1963;30:384–90.
[26] JankowiakT,Rusineka.,WoodP.Anumericalanalysisofthedynamicbehaviourofsheetsteelperforatedbyaconicalprojectileunderballisticconditions.FiniteElemAnalDes2013;65:39–49.
[27] JankowiakT,Rusineka.,LodygowskiT.ValidationoftheKlepaczko–MalinowskimodelforfrictioncorrectionandrecommendationsonSplitHopkinsonPressureBar.FiniteElemAnalDes2011;47:1191–208.
[28] RusinekA,Rodriguez‐MartinezJA,ZaeraC,KlepaczkoJR,AriasA,SauveletC.Experimentalandnumericalstudyontheperforationprocessofmildsteelsheets
26
subjectedtoperpendicularimpactbyhemisphericalprojectiles.IntJImpactEng2009;36:565–87.
[29] Abaqus.Abaqus/ExplicitUser’sManuels,Version6.11.2011.
[30] AriasA,Rodríguez‐MartínezJA,RusinekA.Numericalsimulationsofimpactbehaviourofthinsteelplatessubjectedtocylindrical,conicalandhemisphericalnon‐deformableprojectiles.EngFractMech2008;75:1635–56.
[31] RusinekA,Rodríguez‐MartínezJA,AriasA,KlepaczkoJR,López‐PuenteJ.Influenceofconicalprojectilediameteronperpendicularimpactofthinsteelplate.EngFractMech2008;75:2946–67.
[32] ZukasJA,SchefferDR.Practicalaspectsofnumericalsimulationsofdynamicevents :effectsofmeshing.IntJImpactEng2000;24:925–45.
[33] MaeH,TengX,BaiY,WierzbickiT.Comparisonofductilefracturepropertiesofaluminumcastings:Sandmoldvs.metalmold.IntJSolidsStruct2008;45:1430–44.
[34] WierzbickiT,BaoY,LeeY‐W,BaiY.Calibrationandevaluationofsevenfracturemodels.IntJMechSci2005;47:719–43.
[35] CamachoGT,OrtizM.AdaptiveLagrangianmodellingofballisticpenetrationofmetallictargets.ComputMethodsApplMechEng1997;142:296–301.
[36] WoodWW.Experimentalmechanicsatvelocityextremes–veryhighstrainrates.ExpMech1965;5:361–71.
[37] Rodríguez‐MartínezJA,RusinekA,PesciR,ZaeraR.ExperimentalandnumericalanalysisofthemartensitictransformationinAISI304steelsheetssubjectedtoperforationbyconicalandhemisphericalprojectiles.IntJSolidsStruct2013;50:339–51.
[38] LeeY‐W,WierzbickiT.Fracturepredictionofthinplatesunderlocalizedimpulsiveloading.PartII:discingandpetalling.IntJImpactEng2005;31:1277–308.