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Efficient and accurate approach for powder compaction problems

Abstract

In this paper, a new approach for powder cold compaction simulations is presented. A density-dependent plastic model within the framework of finite strain multiplicative hyperelastoplasticity is used to describe the highly nonlinear material behaviour; the Coulomb dry friction model is used to capture friction effects at die-powder contact; and an Arbitrary Lagrangian–Eulerian (ALE) formulation is used to avoid the (usual) excessive distortion of Lagrangian meshes caused by large mass fluxes. Several representative examples, involving structured and unstructured meshes are simulated. The results obtained agree with the experimental data and other numerical results reported in the literature. It is shown that, contrary to other Lagrangian and adaptive h-remeshing approaches recently reported for this type of problems, the present approach verifies the mass conservation principle with very low relative errors (less than 1% in all ALE examples and exactly in the pure Lagrangian examples). Moreover, thanks to the use of an ALE formulation and in contrast with other simulations, the presented density distributions do not present spurious oscillations.

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Efficient and accurate approach for powder compaction problems

Author: Pérez Foguet, Agustí,Rodríguez Ferran, Antonio,Huerta, Antonio
Year: 2003
DOI: 10.1007/s00466-002-0381-4
Source: https://upcommons.upc.edu/bitstream/2117/8478/1/perez_efficient_2003.pdf
E icien and accu a e app oach o powde compac ion p oblems
A. Pe
´ ez-Fogue , A. Rod ı
´guez-Fe an, A. Hue a
Abs ac In his pape , a new app oach o powde cold
compac ion simula ions is p esen ed. A densi y-dependen
plas ic model wi hin he amewo k o ini e s ain mul i-
plica i e hype elas oplas ici y is used o desc ibe he
highly nonlinea ma e ial beha iou ; he Coulomb d y
ic ion model is used o cap u e ic ion e ec s a
die-powde con ac ; and an A bi a y Lag angian–Eule ian
(ALE) o mula ion is used o a oid he (usual) excessi e
dis o ion o Lag angian meshes caused by la ge mass
luxes. Se e al ep esen a i e examples, in ol ing s uc-
u ed and uns uc u ed meshes a e simula ed. The esul s
ob ained ag ee wi h he expe imen al da a and o he
nume ical esul s epo ed in he li e a u e. I is shown
ha , con a y o o he Lag angian and adap i e
h- emeshing app oaches ecen ly epo ed o his ype
o p oblems, he p esen app oach e i ies he mass
conse a ion p inciple wi h e y low ela i e e o s (less
han 1% in all ALE examples and exac ly in he pu e
Lag angian examples). Mo eo e , hanks o he use o an
ALE o mula ion and in con as wi h o he simula ions, he
p esen ed densi y dis ibu ions do no p esen spu ious
oscilla ions.
Keywo ds Powde compac ion, ini e s ain mul iplica i e
plas ici y, consis en angen moduli, A bi a y Lag an-
gian–Eule ian (ALE) o mula ion, densi y-dependen
models, nume ical di e en ia ion
1
In oduc ion
Cold compac ion p ocesses a e a key ing edien in powde
o ming p ocesses. They consis in he e ical compac ion
h ough he mo emen o a se o punches o a ine powde
ma e ial a oom empe a u e. The p ocess ans o ms he
loose powde in o a compac ed sample wi h a olume
educ ion (and he e o e a densi y inc ease) o abou 2–2.5
imes. The design o hese p ocesses includes he de ini ion
o he ini ial dimensions o he sample and he mo emen s
o he punches ha lead o compac ed samples wi h uni-
o m densi y dis ibu ions. In his con ex , e icien and
eliable nume ical simula ions can play an impo an ole
as a complemen o expe imen al es s.
Two ing edien s a e c ucial o he nume ical modelling
o powde compac ion p ocesses: he cons i u i e ela-
ionship and he kinema ic o mula ion o he p oblem.
Se e al cons i u i e models ha e been p oposed, including
mic oscopic models, low o mula ions and solid me-
chanics models, such as elas ic, plas ic o iscoplas ic
models; see Oli e e al. [1] and Lewis and Khoei [2] o a
gene al o e iew and e e ences o each ype o model.
One o he mos common app oaches is he use o elas-
oplas ic models based on po ous o ic ional ma e ials.
He e, plas ic models exp essed in e ms o he ela i e
densi y and he Ki chho s esses a e conside ed. The
cons i u i e ela ionship is o mula ed wi hin he ame-
wo k o iso opic ini e s ain mul iplica i e hype elas o-
plas ici y [3, 4]. This ype o models has al eady been
applied o powde compac ion p oblems wi h some sim-
pli ica ions de i ed om he assump ion o small elas ic
s ains [1]. In his wo k, la ge elas ic s ains a e included
in he o mula ion [5]. I is shown ha his does no
ep esen any d awback om a modelling poin o iew.
On he con a y, i allows o apply nume ical echniques
and ma e ial models de eloped o he gene al kinema ic
amewo k in a s aigh o wa d manne .
Up o da e, a common ea u e o powde compac ion
simula ions wi h solid mechanics cons i u i e models is
he use o a Lag angian kinema ic o mula ion. This
app oach has shown o be adequa e o p oblems ha do
no exhibi la ge mass luxes among di e en pa s o he
sample (i.e. homogeneous es s). Bu in p ac ical p ob-
lems, as hose which appea in ealis ic design p ocesses,
he Lag angian app oach leads o oo dis o ed meshes
[2, 6] o iola ions o he bounda y limi s [1]. In o de o
sol e hese p oblems, di e en h-adap i e p ocedu es ha e
been p esen ed ecen ly [6, 7]. Howe e , h- e inemen is
compu a ionally expensi e and in o ma ion mus be in-
e pola ed om he old mesh o he new mesh. Fo hese
easons an A bi a y Lag angian–Eule ian (ALE) app oach
is p e e ed in his wo k. ALE o mula ions we e i s
p oposed o luid p oblems wi h mo ing bounda ies [8, 9].
Nowadays, ALE o mula ions o luid p oblems a e widely
used in o ming p ocesses. On he o he hand, he ALE
o mula ion has been success ully employed in nonlinea
solid mechanics [10–14]. The ALE o mula ion o
Compu a ional Mechanics 30 (2003) 220–234 Sp inge -Ve lag 2003
DOI 10.1007/s00466-002-0381-4
220
Recei ed: 20 Ma ch 2002 / Accep ed: 15 Oc obe 2002
A. Pe
´ ez-Fogue (&), A. Rod ı
´guez-Fe an, A. Hue a
Depa . de Ma ema
` ica Aplicada III,
E.T.S. de Ingenie os de Caminos,
Canales y Pue os, Uni e si a Poli e
`cnica de Ca alunya,
Jo di Gi ona 1, E-08034 Ba celona, Spain
e-mail: agus i.[email p o ec ed]
The pa ial inancial suppo o he Minis e io de Ciencia y
Tecnologı
´a (g an numbe DPI 2001-2204) is g a e ully
acknowledged.
mul iplica i e hype elas oplas ici y ecen ly p esen ed by
Rod ı
´guez-Fa an e al. [14] is used he e.
Due o he high nonlinea i y o powde compac ion
simula ions, a common app oach is he explici ea men
o bo h he in eg a ion o he cons i u i e equa ions and
he solu ion o he equilib ium equa ion [2, 6, 15], al-
hough, implici schemes ha e also been success ully
applied [1, 7]. In ac , he de elopmen o obus , accu-
a e and e icien schemes, bo h implici and explici , is
s ill an ac i e esea ch opic, see o ins ance [16–19]
among many o he s. He e a mixed app oach is ollowed.
The in eg a ion o he ALE cons i u i e equa ions is done
by means o a ac ional-s ep me hod [3]: he ea men
o he Lag angian phase is implici and he scheme o
he con ec i e phase is explici . The equilib ium equa ion
is sol ed wi h an inc emen al-i e a i e app oach, whe e
only he Lag angian phase is pe o med wi hin he i e -
a ions o each load inc emen ( he pe u ba ion due o
he in eg a ion o he con ec i e phase is aken in o ac-
coun in he subsequen load inc emen ). A key poin o
he e icien implici solu ion o he equilib ium equa ion
is he consis en linea iza ion o he algo i hm, which is
gi en by he p ope consis en angen moduli [20]. The
ecen ly p esen ed exp ession o densi y-dependen
models by Pe
´ ez-Fogue e al. [5] is used he e. Speci ic
ools o wo o he main issues o implici app oaches
o complex elas oplas ic models a e also conside ed
wi hin his wo k: he con e gence o he plas ic co ec o
a Gauss-poin le el is gua an eed by he use o globally
con e gen New on–like schemes [21, 22], and nume ical
di e en ia ion schemes a e used o he compu a ion o
complex plas ic equa ions de i a i es ollowing e e ences
[18, 23].
An ou line o he pape ollows. The main ea u es o
he cons i u i e equa ions and he nume ical ime–in e-
g a ion scheme a e p esen ed in Sec . 2. The consis en
angen moduli is p esen ed in Sec . 3. A e ha , in Sec . 4,
he p oposed app oach is applied o se e al ep esen a i e
powde compac ion p oblems. The p esen esul s a e
compa ed wi h expe imen al da a and o he esul s o
nume ical simula ions p esen ed in he li e a u e. Sec ion 5
con ains some concluding ema ks.
2
P oblem s a emen
In his sec ion, he basis o he p oposed app oach is
b ie ly p esen ed. Fi s , he kinema ics o he ALE o -
mula ion a e e iewed. A e ha , he ini e s ain ellip ic
elas oplas ic model is desc ibed, ocusing in he yield
unc ion dependence on he densi y. Finally, he nume ical
ime-in eg a ion algo i hm is p esen ed.
2.1
Kinema ics
Le RXRndim (ndim ¼2;3) be he ma e ial con igu a ion
o a con inuum body wi h pa icles labelled by hei ini ial
posi ion ec o X2RX. In a Lag angian se ing, Xa e used
as he independen a iables in he desc ip ion o mo ion.
The mo ion o he body is desc ibed by he one-pa ame e
amily o mappings u :RX7! Rndim wi h 2½0;T.
Rx¼u ðRXÞis he spa ial con igu a ion o he body a
ime , and x¼u ðXÞ¼uðX; Þ2Rxis he cu en
posi ion o he ma e ial pa icle X.
The key ing edien o he ALE o mula ion is he e -
e en ial con igu a ion R , wi h g id (o e e ence) poin s
used as independen a iables o desc ibe body mo ion.
This e e en ial con igu a ion R is mapped in o he ma-
e ial and spa ial con igu a ions by Wand U espec i ely,
see igu e 1. The ini ial posi ion o a ma e ial pa icle is
exp essed on he e e ence domain as X¼Wð ; Þ, and he
cu en posi ion as x¼Uð ; Þ. The h ee mappings u,U
and Wa e ela ed by u¼UW1.
In an ALE se ing, di e en displacemen ields can be
de ined. Two o hem ha e special in e es , he pa icle
displacemen uand he mesh (spa ial) displacemen uU,
uðX; Þ¼xðX; ÞXand uUð ; Þ¼xð ; Þ :
ð1Þ
The pa icle eloci y and he mesh eloci y a e espec i ely
¼ox
o jXand mesh ¼ox
o j ;ð2Þ
whe e, ollowing s anda d no a ion, jmeans ‘‘holding 
ixed’’. The link be ween ma e ial and mesh mo ion is
p o ided by he con ec i e eloci y, c¼  mesh.
2.2
Cons i u i e model
Iso opic ini e s ain mul iplica i e plas ici y is assumed.
The pa icle de o ma ion g adien ,
FðX; Þ¼ou
oXðX; Þ;ð3Þ
is locally decomposed in o elas ic and plas ic pa s as
F¼FeFp. The he modynamic s a e is de ined by means o
he elas ic le Cauchy–G een enso be¼FeFeT, whe e he
supe sc ip T means anspose. As usually in densi y-
dependen plas ici y, no plas ic in e nal a iables a e
conside ed [1, 5]. The Ki chho s ess enso , s, is gi en
by he hype elas ic ela ionship
Fig. 1. Domains, mappings and de o ma ion g adien s in he
ALE desc ip ion
221
s¼2dWe
dbebe;ð4Þ
whe e Weis he ee-ene gy unc ion pe uni o unde-
o med olume. The Cauchy s ess enso is gi en by
¼s
de ðFÞ:ð5Þ
The plas ic esponse o he ma e ial is assumed iso opic
and densi y-dependen . The dependence on he densi y is
inco po a ed in he yield unc ion ðs;gÞand he low
di ec ion mðs;gÞ h ough he ela i e densi y gðX; Þo he
pa icle Xa ime . The ela i e densi y is equal o he eal
densi y o he ma e ial di ided by a e e ence alue, which
usually is he solid densi y o he compac ed ma e ial.
Associa i e plas ici y is cha ac e ized by
mðs;gÞ¼$s ðs;gÞ, wi h $equal o he g adien ope a o
wi h espec o he a iables .
The e olu ion o he elas ic le Cauchy–G een enso
(i.e. low ule) is de ined in he ALE se ing as [14]
obe
o j þc$xbelbebelT¼2_
ccmðs;gÞbe;ð6Þ
whe e l¼$x is he eloci y g adien enso and _
cc is he
plas ic mul iplie . Equa ion (6) is complemen ed wi h he
Kuhn-Tucke condi ions
_
cc 0; ðs;gÞ0 and _
cc ðs;gÞ¼0:ð7Þ
The e olu ion o he ela i e densi y gis gi en by he mass
conse a ion p inciple, which in ALE o mula ion eads
og
o j þc$xgþg$x ¼0:ð8Þ
2.3
Nume ical ime-in eg a ion: a ac ional-s ep me hod
In he ALE app oach, he wo undamen al unknowns in
e e y ime-s ep ½n ;nþ1 , wi h nþ1 ¼n þD , a e he in-
c emen o mesh displacemen s,
nþ1DuUð Þ¼nþ1xð Þnxð Þð9Þ
and he inc emen o pa icle displacemen s,
nþ1DuðnXð ÞÞ ¼ nþ1xðnXð ÞÞ  nxðnXð ÞÞ ð10Þ
which is e e ed o he pa icles nXassocia ed o g id
poin s a he beginning o he ime-s ep, nX¼Xð ;n Þ.
The mesh displacemen s a e ob ained om an ALE
emeshing algo i hm. The pa icle displacemen s a e
ound ia he inc emen al solu ion o he equilib ium
equa ion. The di e ence be ween he inc emen s o pa -
icle and mesh displacemen s is he so-called inc emen o
con ec i e displacemen s,
nþ1Ducon ð Þ¼nþ1Duð Þnþ1DuUð Þ;ð11Þ
which ep esen s he ela i e mo ion be ween pa icles and
g id poin s du ing he ime-s ep.
The quan i ies o in eg a e a e only beand g, see ema k
1 below. The nume ical ime-in eg a ion is done by means
o a ac ional-s ep me hod o e Equa ions (6) and (8).
E e y ime–s ep is di ided in o wo phases: he Lag angian
phase and he con ec ion phase.
Du ing he Lag angian phase con ec ion is neglec ed,
c¼0. In ha si ua ion, Eq. (6) simpli ies o he s anda d
spa ial exp ession o he low ule
L be¼2_
ccmðs;gÞbe;ð12Þ
whe e L be¼obe
o jxlbebelTis he Lie de i a i e wi h
espec o he pa icle eloci y; and Eq. (8) simpli ies o
gðX; Þ¼g0ðXÞ
de ðFÞ;ð13Þ
he ma e ial exp ession o he Lag angian ela i e densi y
e olu ion. The ini ial condi ions o equa ions (12) and
(13) a e he s a e a ime n (nx,nbeand ng). The p oblem is
s ain-d i en, hus, he Lag angian alues Lbeand Lga e
ob ained om nþ1Du. Recall ha nþ1Duis no equi ed o
be in equilib ium.
A e he Lag angian phase, an ALE emeshing algo-
i hm is employed o compu e he inc emen o mesh
displacemen s nþ1DuU. The algo i hm is de ined such as i
educes he elemen dis o ion o a pu e Lag angian ap-
p oach.
Du ing he con ec ion phase, he con ec i e e m o
he e olu ion equa ions is aken in o accoun . The con-
ec i e eloci y is assumed cons an in he ime-s ep and
equal o c¼nþ1Ducon =D . The inal (con ec ed) alues
nþ1beand nþ1ga e compu ed in eg a ing he anspo
equa ions
obe
o j þc$xbe¼0and og
o j þc$xg¼0;ð14Þ
wi h he ini ial condi ions Lbeand Lg.
In his wo k, only he Lag angian phase is pe o med
du ing i e a ions o equilib ium wi hin each load inc e-
men . The emeshing and he con ec ion a e compu ed
wi h he con e ged esul s a he end o each ime-s ep.
This esul s in o a educed compu a ional cos o e head
wi h espec o he pu e Lag angian app oach. The equi-
lib ium pe u ba ion due o he emeshing and he con-
ec i e ime-in eg a ion o he con e ged esul s is aken
in o accoun in he subsequen load inc emen . The e o e,
he e a e no accumula i e e o s in he esul s. On he
o he hand, as he i e a i e scheme is pu e Lag angian, he
consis en ope a o is no in luenced by he emeshing
echnique no by he nume ical ime-in eg a ion scheme
used in he con ec i e phase. The o e all scheme is sum-
ma ized in able 1. The main cha ac e is ics o he nu-
me ical ime-in eg a ion o each phase a e p esen ed in he
ollowing wo subsec ions.
Rema k 1 In a gene al se ing, all quan i ies ela ed wi h
he pa icles should be con ec ed. This includes he ma-
e ial pa ame e s and he alue o de ðFÞ, in addi ion o be
and g(and he plas ic in e nal a iables i hey exis ).
Howe e , in he usual case ha he ma e ial su aces a e
acked by he ALE emeshing algo i hm and homoge-
neous ma e ials a e conside ed (as is he case in all he
examples p esen ed in his wo k), only he in eg a ion o
beand gis necessa y. The alue o de ðFÞcan be compu ed
om he ma e ial exp ession o he ela i e densi y
e olu ion, Eq. (13).
222
2.3.1
Lag angian phase
The esul s o he Lag angian phase, Lbeand Lg, a e
compu ed om nbe,ngand he inc emen al pa icle
de o ma ion g adien ,
L ¼Indim þ
nxnþ1Du;ð15Þ
which ela es he pa icle de o ma ion g adien s a ime n ,
nF, and a he end o he Lag angian phase, LF, h ough he
ela ionship L ¼LFðnFÞ1.Indim deno es a iden i y ma ix
o o de ndim.
The ela i e densi y, g, is in eg a ed exac ly (in he sense
ha no nume ical ime-in eg a ion scheme is used) be-
cause o he ma e ial exp ession o he mass conse a ion
p inciple, Eq. (13), which leads o
Lg¼g0
de ðLFÞ¼
ng
de ðL Þ:ð16Þ
The alue o Lbeis ob ained by means o he s anda d
elas ic p edic o -plas ic co ec o spli s a egy applied o
Eqs. (7) and (12). Rema kably, he dependence o he
cons i u i e equa ions on he densi y does no modi y he
algo i hm. The alue o Lgis gi en by Eq. (16), and
he e o e i plays he ole o a ixed pa ame e .
The esul o he elas ic p edic o s ep is he so-called
ial s a e. I is de ined by
be¼L nbeL T:ð17Þ
I he ial s a e is admissible, ðsð beÞ;LgÞ0, he alue
o Lbeis se equal o he ial s a e. I i is no , a plas ic
co ec o s ep is compu ed. Recall ha he ial s a e, Eq.
(17), does no depend on Lg, a key poin in he linea iza-
ion o he algo i hm p esen ed in Sec . 3.
The plas ic co ec ion s ep equi es he app oxima ion
o he low ule, Eq. (12). A s anda d app oxima ion
consis s in he use o he exponen ial map and he back-
wa d Eule in eg a ion scheme [3]. Unde he p e ious
iso opy assump ions, his app oach leads o a nonlinea
sys em o equa ions wi h he same s uc u e as ha o
in ini esimal elas oplas ici y. In o de o ob ain his non-
linea sys em o equa ions, h ee ec o s o Rndim a e de-
ined: ee,Leeand L
ss. The componen s o eeand Leea e
unc ions o he eigen alues o he enso s beand Lbe,
espec i ely, and he componen s o L
ss a e he eigen alues
o Ls:
*be¼X
ndim
i¼1expð½eeiÞ2ni
ni
and Ls¼X
ndim
i¼1
½L
ssini
ni
;
ð18Þ
whe e he supe sc ip * e e s o and L, ni
gi¼1;...;ndim a e
he eigen ec o s o he h ee enso s, and ½*igi¼1;...;ndim he
componen s o he h ee ec o s. The eigen ec o s a e he
same o he h ee enso s because o he iso opy as-
sump ions. Thus, hey a e ully speci ied by he ial s a e.
A e some manipula ions, he ollowing nonlinea
sys em o equa ions is ound:
LeeþDcmss 
ssðLeeÞ;Lg

¼ ee

ssðLeeÞ;Lg

¼0;ð19Þ
whe e Dc¼D _
cc is he inc emen al plas ic mul iplie , mss is
he low ec o in he p incipal di ec ion space ( ha is,
ms¼Pndim
i¼1½mssini
ni
), he iso opic unc ions mss and
a e exp essed as unc ions o 
ss, and 
ss is gi en by he
hype elas ic ela ionship

ss ¼d
WWe
dee;ð20Þ
wi h 
WWeðeeÞde ined so ha Eq. (20) is equi alen o Eq.
(4). Equa ions (19) a e complemen ed wi h he es ic ion
Dc0.
This p oblem is ypically sol ed wi h he New on–
Raphson me hod. Rema kably, as Lgis ixed, he globally
con e gen ex ensions o he New on–Raphson me hod
p esen ed [22] o densi y-independen ini e s ain
models also apply o densi y-dependen plas ic p oblems.
Once Eqs. (19) a e sol ed, he Lag angian phase is
comple ed.
2.3.2
Con ec i e phase
Du ing he con ec i e phase, he anspo equa ions (14)
a e in eg a ed nume ically wi h a Goduno -like scheme
[13, 24]. The applica ion o his scheme o quasi-s a ic
p oblems is compa ed wi h o he al e na i es in [13]. This
scheme ci cum en s he compu a ion o g adien s wi h
espec o he spa ial coo dina es p esen in he anspo
equa ions, he main sou ce o ouble when disc e ized
p oblems a e conside ed. The only di e ence be ween he
p esen applica ion, wi h hype elas ic-plas ic models, and
ha p esen ed in [13, 24], wi h hypoelas ic-plas ic models,
is ha he e i is applied o he con ec ion o he elas ic le
Cauchy–G een enso ins ead o he Cauchy s esses. The
key poin s o he implemen a ion a e p esen ed in he
ollowing.
The anspo equa ions (14) con ains se en equi alen
scala equa ions, one o each componen o beand one o
g. The e o e, he scheme is de ised o a gene al scala
con ec i e equa ion
ou
o j þc$xu¼0;ð21Þ
Table 1. The o e all ALE scheme
Fo e e y ime-s ep [
n
,
nþ1
]:
Ma e ial phase
Neglec con ec i e e ms
Ad ance he solu ion i e a i ely in an upda ed Lag angian
ashion: compu e he inc emen o pa icle displacemen s
n+1
Du
and quan i ies
L
b
e
and
L
g(supe sc ip L deno es Lag angian)
Remeshing
Compu e he inc emen o mesh displacemen s
n+1
Du
F
and he
inc emen o con ec i e displacemen s
n+1
Du
con
by means o a
emeshing algo i hm ha educes elemen dis o ion.
Compu e he con ec i e eloci y c=
n+1
Du
con
/D
Con ec ion phase
Accoun o con ec i e e ms
Use he Goduno - ype echnique o con ec quan i ies
L
b
e
and
L
gin o
n+1
b
e
and
n+1
g
Compu e s esses
n+1
sand
n+1
223
wi h uð ;xÞ ep esen ing he di e en componen s o be
and g. The ini ial condi ion o Eq. (21) is he Lag angian
alue Lu.
The basic idea o he scheme is o di ide e e y ini e
elemen in a ious zones, each o hem co esponding o
he in luence domain o a Gauss poin . In wo-dimensional
p oblems, as hose p esen ed in his wo k, each zone has
an a ea Aand nedg edges. Then, a each Gauss poin , he
ollowing explici upda e equa ion is applied
nþ1u¼LuD
2AX
nedg
iedg¼1
Iiedg
Luc
iedg Lu

1signðIiedg Þ;
ð22Þ
whe e Luc
iedg is he alue o he a iable uin he con iguous
Gauss poin ac oss edge iedg and Iiedg is he lux o con-
ec i e eloci y cac oss edge iedg. This scheme leads o a
e y simple algo i hm. Mo eo e , as he space disc e iza-
ion and he con ec i e eloci y a e he same o he di -
e en scala anspo equa ions, he majo pa o he
compu a ions a e common o all o hem.
Once Eq. (22) is applied o he six componen s o beand
g he con ec i e phase is comple ed: he alues o nþ1be
and nþ1ga e de e mined. The s ess alues nþ1sand nþ1
a e compu ed wi h Eqs. (4) and (5).
3
Consis en angen ope a o
The consis en angen moduli a e needed o sol e he
equilib ium equa ion wi h quad a ic con e gence [20]. In
his wo k, as he con ec i e phase is no included wi hin
he i e a i e p ocess, hey a e he same needed in s anda d
Lag angian app oaches. Howe e , due o he densi y-
dependence o he plas ic equa ions, he well-known con-
sis en angen moduli o densi y-independen models o
mul iplica i e ini e s ain p oblems [3] esul s incomple e.
In he ollowing, he comple e exp ession o densi y-
dependen plas ic models is p esen ed.
The consis en angen moduli, c, a e he linea iza ion
o he Ki chho s esses ob ained om he Lag angian
phase, Ls, wi h espec o he g adien o he inc emen al
pa icle displacemen s, nxnþ1Du[3, 25]. They a e ound
by applying he chain ule o equa ion (18)2, which leads
o
c¼X
ndim
i¼1X
ndim
j¼1
½aijni
ni
nj
nj
þ2X
ndim
i¼1
½L
ssi^
cci
;
ð23Þ
wi h he i s e m co esponding o he linea iza ion o L
ss
and he second one o he linea iza ion o ni
gi¼1;...;ndim ,
and whe e he enso s ^
cci
gi¼1;...;ndim depend on
ni
gi¼1;...;ndim and ee[3], and ais a ma ix o o de ndim
de ined as
a¼dL
ss
d ee:ð24Þ
Equa ion (23) has he same exp ession o densi y-
dependen and densi y-indepeden plas ic models because
he densi y does no a ec he applica ion o he chain ule
no he ial s a e. In ac , he in luence o he densi y is
es ic ed o he alues o L
ss and ain plas ic s eps, i.e.
when he ial s a e is no admissible. In elas ic s eps, he
ma ix ais he Hessian o 
WWe,
a¼d2
WWe
dee2ee¼ ee
:ð25Þ
The alue o L
ss is ob ained, in bo h elas ic and plas ic
s eps, di ec ly om he hype elas ic ela ionship. The e-
o e, only he exp ession o a o plas ic s eps needs o be
de e mined.
In o de o do ha i is use ul o eph ase he depen-
dence o Lgon L , Eq. (16), as
Lg¼n^
gg exp  ð eeÞ;ð26Þ
wi h n^
gg ¼ngffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
de ðnbeÞ
pa known alue om he p e ious
ime s ep and whe e ð*Þmeans ace o ( ha is,
Pndim
i¼1½*i). Equa ion (26) is ound by applying he de e -
minan unc ion o bo h sides o Eq. (17) and subs i u ing
Eq. (18)1in o i .
A mo e con enien exp ession o ais ound om i s
de ini ion, Eq. (24), and he applica ion o he chain ule:
a¼dL
ss
dLee
dLee
d ee¼d2
WWe
dee2ee¼Lee
dLee
d ee:ð27Þ
This exp ession shows ha ais de e mined once he o al
in luence o eeon Lee;dLee
d ee, is ound. This in luence is
gi en by he he nonlinea sys em o Eq. (19) and he
ela ionship be ween Lgand ee, Eq. (26). Thus, i can be
compu ed by linea izing he nonlinea sys em o equa ions
LeeþDcm
ss 
ssðLeeÞ;Lg

¼ ee

ssðLeeÞ;Lg

¼0
Lg¼n^
gg exp  ð eeÞ:
ð28Þ
Once dLee=d eeis de e mined, he exp ession o ais ound
subs i u ing i in o Eq. (27). The esul can be ea anged
as
a¼agindep þag;ð29Þ
wi h agindep equal o he s anda d consis en moduli o
densi y-independen plas ic models,
agindep ¼~
GG 
~
GGm
ss 
ss T~
GG

ss T~
GGmss
;ð30Þ
whe e
~
GG ¼d2
WWe
dee21
þDc 
ssm
ss1
;ð31Þ
and
ag¼gDc~
GG 
~
GGm
ss 
ss T~
GG

ss T~
GGm
ss om
ss
og11;ndim
þg
o
og
~
GGm
ss

ss T~
GGm
ss
11;ndim ;ð32Þ
a e m ha akes in o accoun he in luence o he densi y.
All quan i ies in ol ed in he compu a ion o a, Eqs.
(30–32), a e e alua ed a he end o he Lag angian phase.
224

In he densi y-independen case, symme ic angen
moduli a e ob ained o associa i e ma e ial models. On
he con a y, unsymme ic moduli a e ound wi h all
densi y-dependen ma e ial models because agis, in gen-
e al, unsymme ic. Fo his eason, in densi y-dependen
plas ici y, unsymme ic linea sol e s ha e o be used in
o de o keep he cha ac e is ic quad a ic con e gence o
he New on–Raphson me hod.
On he o he hand, i is impo an o ema k ha he
exp ession o agcan be compu ed wi h jus a ew mo e
ma ix– ec o p oduc s han he s anda d agindep, com-
pa e Eqs. (32) and (30), and, as expec ed, he addi ional
in o ma ion
om
ss
ogand o
og:ð33Þ
3.1
Nume ical di e en ia ion
A key poin in he compu a ion o consis en angen
moduli in densi y-independen plas ici y is he compu a-
ion o low ec o and ha dening law de i a i es. Re e -
ence [18] p esen s an analysis o di e en nume ical
di e en ia ion schemes o compu e hese de i a i es and
e e ences [23, 26] show he applica ion o di e en non-
i ial elas oplas ic models and ime-in eg a ion ules. The
main conclusion o hese wo ks is ha simple i s and
second o de di e ence schemes do no dis u b he qua-
d a ic con e gence o he New on–Raphson me hod p o-
ided ha he s epsize is ixed in a ela i e way. Mo eo e ,
in ha e e ences i is shown ha nume ical di e en ia ion
is an e icien al e na i e o analy ical de i a i es e en i
a e eadily a ailable.
These schemes a e di ec ly applicable o densi y-
dependen plas ic models. In his case, i can also be applied
o he compu a ion o he de i a i es o low ec o and he
yield unc ion wi h espec o he ela i e densi y, see Eq.
(33), a si ua ion o special in e es when ealis ic cons i u-
i e laws a e conside ed. In his wo k, a i s o de di e ence
scheme wi h a ela i e s epsize equal o 105has been used
o app oxima e hese de i a i es.
4
Nume ical simula ions
In his sec ion, he p oposed app oach is applied o he
simula ion o se e al powde compac ion p oblems. In he
i s wo cases he a en ion is ocused in he compa ison
o he p esen nume ical esul s wi h nume ical and
expe imen al ones epo ed in he li e a u e. The i s one
is sol ed wi h a pu e Lag angian app oach, and he second
one using he ALE o mula ion p esen ed in Sec . 2.
Speci ic analysis ela ed wi h he applica ion o he ALE
o mula ion, he de ini ion o he globally con e gen
schemes o he plas ic co ec o s ep, and he compu a ion
o he consis en angen moduli ia nume ical di e en ia-
ion schemes can be ound in e e ences [14, 18, 22, 23].
The powde ma e ial is modelled wi h he Hencky’s
hype elas ic law, which leads o a linea ela ionship be-
ween 
ss and ee, and associa e plas ici y wi h he ollowing
ellip ic yield unc ion [1, 27]
ellipðs;gÞ¼2J2ðsÞþa1ðgÞI1ðsÞ
3

2
2
3a2ðgÞð yÞ2;
ð34Þ
wi h I1ðsÞequal o he i s in a ian o s;J2ðsÞequal o
he second in a ian o he de ia o ic pa o s, and he
densi y–dependen pa ame e s
a1ðgÞ¼
1g2
2þg2

n1
g<1
0g1
(and
a2ðgÞ¼
0:02g0
10:98g0

n2
gg0
g0:98g0
10:98g0

n2
g>g0
8
>
<
>
:
ð35Þ
The dependence o a1and a2on g o he ma e ial pa-
ame e s p esen ed in Table 2 is depic ed in Fig. 2. The
ace o he yield unc ion on he me idian plane psqs,
wi h ps¼I1ðsÞ
3and qs¼ffiffiffiffiffiffiffiffiffiffiffiffi
3J2ðsÞ
p, o di e en ela i e
densi ies a e depic ed in Fig. 3. No e ha ellip becomes he
on Mises yield unc ion o g1.
4.1
Compac ion o a plain bush componen
The i s example is he uniaxial compac ion o a plain
bush componen . Expe imen al da a [28] and nume ical
esul s [2, 28, 29] a e a ailable o his example. Bo h a e
used he e o compa a i e pu poses. The es is pe o med
wi h he powde ma e ial pa ame e s p esen ed in Table 2.
These ma e ial pa ame e s a e calib a ed in [29] by com-
pa ing he nume ical esul s wi h hose p esen ed in [28].
The componen is modelled by an axisymme ic ep-
esen a ion as illus a ed in Fig. 4 [2]. A 2D s uc u ed
mesh o 200 bilinea elemen s is used. The die wall ic ion
is simula ed wi h a Coulomb ic ion coe icien l¼0:15
Table 2. Ma e ial pa ame e s
E50 000. [MPa]
m0.37
y
12. [MPa]
g
0
0.41
g
1
0.5
g
2
2.2
Fig. 2. Dependence o pa ame e s a1ðgÞand a2ðgÞon he ela i e
densi y, g
225
[28, 29] ac ing in he inne and ou e walls o he sample,
segmen s BC and DA o Fig. 4. In [29] he ela i e adial
mo emen o op and bo om su aces wi h espec o he
punches, segmen s AB and CD, is allowed, wi h a Coulomb
ic ion coe icien equal o ha o he la e al su aces.
He e, ollowing [2], he adial displacemen o he op and
he bo om o he sample is es ained. The e ical dis-
placemen o segmen AB is also se equal o ze o, and a
e ical displacemen o 11.5 mm is imposed o segmen
CD, simula ing he op punch mo emen .
The ela i e densi y p o ile a adius equal o 10.5 mm
o a op punch displacemen o 10 mm is shown in Fig. 5.
The nume ical esul s o [28, 29] and he expe imen al
da a o [28] a e included in he same igu e. The esul s o
he p esen nume ical simula ion a e in ag eemen wi h all
o hem. Howe e , as expec ed because o he simila i ies
o he ma e ial model, he bes ag eemen is ound wi h he
esul s o [29]. The lowe ela i e densi y a he op pa o
he sample ound by [29], wi h espec o he p esen one,
and he highe alues in he lowe pa a e di ec ly ela ed
wi h he di e en ea men o he ic ion e ec s o op
and bo om punches.
The e olu ion o he e ical eac ion o he punch wi h
espec o i s e ical displacemen is depic ed in Fig. 6.
The nume ical esul s o [2] and he expe imen al da a o
[28] a e also included. In e e ence [2] he esul s ob ained
wi h di e en o mula ions a e shown. Those depic ed in
Fig. 6 a e he mos simila o he expe imen al da a. The
ag eemen be ween he esul s o he p esen simula ion
and he expe imen al ones is good.
Finally, he e olu ion o he ela i e densi y dis ibu ion
o e he sample is depic ed in Fig. 7. Resul s o di e en
e ical op punch displacemen s ( om 4 o 11 mm) a e
shown. Two di e en ela i e densi y scales a e used (one
in each ow) in o de o show be e he non-homogeneous
dis ibu ion o he densi y. The shape o he ela i e
densi y dis ibu ions a e in gene al ag eemen wi h hose
Fig. 3. T ace o he ellip ic yield unc ion on he me idian plane
qsps o di e en ela i e densi ies, g
Fig. 4. Plain bush componen . P oblem de ini ion (a e Lewis
and Khoei 1998) and compu a ional mesh
Fig. 5. Plain bush componen . Rela i e densi y p o ile a adius
equal o 10.5 mm
Fig. 6. Plain bush componen . Rela ionship be ween op punch
e ical eac ion and i s e ical displacemen
226
p esen ed by [2], al hough he quan i a i e alues a e a
li le bi highe .
In o de o check he p esen esul s, he e olu ion o
he sample mass du ing he simula ion has been com-
pu ed. A cons an alue equal o he ini ial one has been
ound, up o six signi ican digi s. The e o e, he mass
conse a ion p inciple is e i ied. This implies, o in-
s ance, a mean alue o he ela i e densi y equal o 2g0 o
a heigh educ ion o 50% (i.e. gmean ¼0:82 o a op
displacemen o 10 mm, see Figs. 6 and 7).
4.2
Compac ion o a o a ional langed componen
The second example co espond o he compac ion o a
langed componen which is modelled by an axisymme ic
ep esen a ion, as illus a ed in Fig. 8. The example is used
in [2] o illus a e he applicabili y o a dynamic app oach
wi h a hypoelas oplas ic model. The same example is used
in [6] o show he u ili y o an h-adap i e emeshing
echnique o educe mesh dis o ion. He e he hype elas-
oplas ic model and he ALE o mula ion p esen ed p e-
iously a e used. Some expe imen al esul s [30] a e
a ailable.
The p esen esul s illus a e ha he p oposed ap-
p oach allows o simula e highly demanding powde
compac ion p ocesses wi hou mesh dis o ion and spu-
ious oscilla ions in he esul s. Mo eo e , i is shown ha
he mass conse a ion p inciple is e i ied wi h a low
ela i e e o .
Th ee di e en compac ion es s a e simula ed [2]: 1) a
e ical mo emen o he op punch (6.06 mm); 2) a e -
ical mo emen o he bo om punch (5.10 mm); and 3) a
simul aneous mo emen o bo h punches (6.06 mm he op
punch and 7.70 mm he bo om punch). The same s uc-
u ed mesh o 170 eigh -noded elemen s wi h educed
in eg a ion ( ou Gauss poin s pe elemen ) is used in he
Fig. 7. Plain bush componen . Rela i e
densi y dis ibu ion o di e en op
punch mo emen s. No e ha wo di e en
scales a e used
227
h ee es s. The die wall ic ion is simula ed wi h a Cou-
lomb ic ion coe icien l¼0:08 ac ing in he segmen s
BC, CD, DE and FA, see Fig. 8, and he adial displacemen
a he punches is es ained [2].
The analysis is pe o med wi h he powde ma e ial o
Table 2, calib a ed in [1] o he compac ion o he plain
bush componen . The ela ionships be ween dimension-
less e ical loads and punch displacemen s ob ained in
his wo k a e compa ed wi h hose o [2] in Fig. 9. The
ag eemen be ween he wo se s o cu es is e iden .
Howe e , he e e ence load is di e en : 392 kN o he
p esen esul s and 1550 kN o he esul s o [2] (in bo h
cases he inal eac ion o he op punch in he double-
punch compac ion es ). This di e ence can be ela ed
wi h he di e en modelling app oach (dynamic e sus
s a ic) and, especially, wi h he g ea di e ence be ween
he elas ic moduli used in bo h cases (40 MPa in [2], h ee
o de s o magni ude lowe han he one used he e). In he
ollowing, a de ailed analysis o he ela i e densi y dis-
ibu ion ob ained in each o he h ee es s is p esen ed.
In he i s es , op punch compac ion, he mesh egion
ABCG is Eule ian, and equal heigh elemen s a e p e-
sc ibed in he mesh egion GDEF. The a ia ion o he
mass o he sample du ing he simula ion is depic ed in
Fig. 10. A inal loss o 0.75% is ound. This small a ia ion
co esponds o he unca ion e o in he disc e iza ion o
he con ec i e e m o he ALE o mula ion (bo h
empo al and spa ial disc e iza ion).
The e olu ion o he ela i e densi y dis ibu ion is
summa ized in Fig. 11(a–d). The compac ion p ocess
leads o a clea ly non-homogenous densi y dis ibu ion. As
expec ed, highe alues a e ound in he ou e egion o he
sample and lowe ones close o he bo om su ace. A
smoo h ansi ion om highe o lowe densi ies is ound.
A dense zone is de ec ed in he co ne egion, jus o e he
poin C, du ing all he p ocess. Recall ha he e is no
mesh dis o ion because, al hough he lux o mass is
impo an , he mesh does no ollow he ma e ial pa icles
in he ALE o mula ion. The inal ela i e densi y p o ile a
1.88 mm om line GD is depic ed in Fig. 11(e). The
p esen esul s a e in gene al ag eemen wi h hose
p esen ed in [2]. Two zones wi h a quasi-uni o m ela i e
densi y a e ound in bo h cases. Howe e , he densi y
p o ile ob ained in [2] p esen s a big oscilla ion be ween
hese wo zones, and, on he con a y, he ansi ion
ob ained in his wo k is smoo h.
The second es consis s in a bo om punch compac ion.
In his case he mesh egion GDEF is Eule ian and equal
heigh elemen s a e p esc ibed in egion ABCG. The
a ia ion o he mass o he sample du ing he simula ion
is depic ed in Fig. 10. The mass gain is less han 1% a he
end o he simula ion. The e o is a bi la ge han o he
op punch es . This indica es ha he con ec i e e ec s
a e mo e impo an in his case.
Fig. 8. Flanged componen . P oblem de ini ion (a e Lewis and
Khoei 1998) and compu a ional mesh
Fig. 9. Flanged componen . Rela ionships be ween he e ical
eac ions o he punches and hei e ical mo emen s: op
eac ion o op punch compac ion, bo om eac ion o bo om
punch compac ion, and op and bo om eac ions o double-
punch compac ion
Fig. 10. Rela i e mass a ia ion du ing he h ee compac ion
p ocesses o he langed componen . The load le els a e e e ed
o he punch displacemen s imposed a he end o each es
228