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Sensitivity analysis: A tool for tailoring environmentally friendly materials

Abstract

In this article, we examine the use of sensitivity analysis for the optimization of selected physical properties in rubber compounds and determine objective criteria which allow for the reduction of environmental load during rubber compound production. The sensitivity analysis shows how significantly each input value affects the output value, and the response graphs express the effect of the selected parameter on the output value. The solutions described in the article are applicable to other production technologies. We present a sensitivity analysis based on the prediction of selected mechanical properties of rubber mixtures composed of Standard Malaysian Rubber (SMR). Two blends were pre- pared by mixing SMR and oleic acid and different concentrations of surfactant (2, 4, 6, 8, 10, 20, 30 wt%). Tensile strength Rm and moduli M100, M200, M300 were measured and evaluated. The sensitivity analysis showed the significance of certain ingredients which affect the measured mechanical properties.

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Sensitivity analysis: A tool for tailoring environmentally friendly materials

Author: Seidl, David
Publisher: Elsevier
Year: 2022
DOI: 10.1016/j.eswa.2022.118039
Source: https://dspace.vsb.cz/bitstreams/fb42d163-68da-46f0-abde-e7dd3984781a/download
Expe Sys ems Wi h Applica ions 208 (2022) 118039
A ailable online 8 July 2022
0957-4174/© 2022 The Au ho (s). Published by Else ie L d. This is an open access a icle unde he CC BY-NC-ND license (h p://c ea i ecommons.o g/licenses/by-
nc-nd/4.0/).
Sensi i i y analysis: A ool o ailo ing en i onmen ally iendly ma e ials
Da id Seidl
a
,
*
, I an Ruˇ
ziak
b
, Zo a Koˇ
s ialo ´
a Janˇ
cíko ´
a
a
, Pa el Koˇ
s ial
a
a
Facul y o Elec ical Enginee ing and Compu e Science, VSB Technical Uni e si y o Os a a, Czech Republic
b
Facul y o Wood Sciences and Technology, Technical Uni e si y, Z olen, Slo akia
ARTICLE INFO
Keywo ds:
Rubbe blends
Plas icize s
A i icial neu al ne wo ks
Sensi i i y analysis
P edic ions
ABSTRACT
In his a icle, we examine he use o sensi i i y analysis o he op imiza ion o selec ed physical p ope ies in
ubbe compounds and de e mine objec i e c i e ia which allow o he educ ion o en i onmen al load du ing
ubbe compound p oduc ion. The sensi i i y analysis shows how signi ican ly each inpu alue a ec s he
ou pu alue, and he esponse g aphs exp ess he e ec o he selec ed pa ame e on he ou pu alue. The
solu ions desc ibed in he a icle a e applicable o o he p oduc ion echnologies. We p esen a sensi i i y
analysis based on he p edic ion o selec ed mechanical p ope ies o ubbe mix u es composed o S anda d
Malaysian Rubbe (SMR). Two blends we e p e- pa ed by mixing SMR and oleic acid and di e en concen a ions
o su ac an (2, 4, 6, 8, 10, 20, 30 w %). Tensile s eng h R
m
and moduli M100, M200, M300 we e measu ed and
e alua ed. The sensi i i y analysis showed he signi icance o ce ain ing edien s which a ec he measu ed
mechanical p ope ies.
1. In oduc ion
Technological ea men s and he agen s o ille s added o ubbe
ha e a s ong e ec on se e al p ope ies o ubbe mix u es. Ca bon
black is an ac i e ille which is used o inc ease elec ical and he mal
p ope ies due o i s s ong in e ac ion wi h na u al ubbe . Plas icize s
play an impo an echnological ole in he ubbe indus y. Rubbe is a
mul icomponen ma e ial which is e y sensi i e o many chemical
species, and especially o echnological ea men . Fo mul icomponen
sys em inpu s and ou pu s associa ed wi h he op imiza ion o chemis y
o echnological p ocesses, i is con enien o use an a i icial neu al
ne wo k (ANN).
ANNs a e equen ly applied in ma e ial analysis, and in some cases
also ha e success ully eplaced des uc i e es ing in ibe composi es
(Fa hana e al., 2016).
T ue s ess/s ain cu es we e success ully calcula ed o he au o-
mobile indus y (Doh, Lee, & Lee, 2016), whe e he au ho s op imized
in e connec ion weigh s ob ained wi h hidden laye s and ou pu laye s.
A ma hema ical model o he ma e ial’s beha io was sugges ed h ough
his eed- o wa d neu al ne wo k.
The s udy Le, Y onne , and He (2015) applied a ini e elemen
me hod and an ANN o desc ibe su ace s ess in ma e ials.
A combina ion o an ANN and FEM was applied in a s udy o he
dynamic p ope ies in glass lamina es wi h di e en ma e ial shaping
(Seidl e al., 2011). Shape modes we e p esen ed o di e en ib a-
ional exci a ions.
ANNs we e used wi h success o op imize he composi ion o op ical
glasses (Seidl e al., 2011) and ob ain equi ed op ical p ope ies.
Feed o wa d neu al ne wo ks a e used o he classi ica ion o laye s
o coal and shale coal acco ding o ash and mois u e con en (Janˇ
cíko ´
a,
Boˇ
s´
ak, Zimný, Legoue a, Min´
a ik, Koˇ
s ial, & Poulain, 2014).
The wo k Ghosh, Cha e jee, and Shanke (2016) applied an ANN
and neu o- uzzy in e e ence sys em which sepa a ed pe mea e lux and
sal con en .
A mul i esolu ion analysis o ime-dependen da a se s ob ained
h ough Wa ele de- composi ion and e alua ed using an ANN was
applied o he managemen o enewable ene gy sou ces in he s udy
Salehi and Raza i (2016).
A sound s a is ical model analysis was de eloped based on deep
neu al ne wo ks. Using a new algo i hm on con en ional da a, he au-
ho s a ained subs an ially be e esul s (Doucou e, Agbossou, & Ca -
denas, 2016).
A discolo a ion p ocess analysis was conduc ed wi h he applica ion
o h ee in e media e laye s, a backp opaga ion lea ning algo i hm, and
a sigmoid ac i a ion unc ion implemen ed in Fo an. Th ee neu ons in
he in e media e laye p o ided he bes esul s Hwang, Pa k, and Chang
(2016).
Technological ea men s and he agen s o ille s added o ubbe
* Co esponding au ho .
E-mail add esses: [email p o ec ed] (D. Seidl), [email p o ec ed] (I. Ruˇ
ziak), [email p o ec ed] (Z. Koˇ
s ialo ´
a Janˇ
cíko ´
a), [email p o ec ed] (P. Koˇ
s ial).
Con en s lis s a ailable a ScienceDi ec
Expe Sys ems Wi h Applica ions
jou nal homepage: www.else ie .com/loca e/eswa
h ps://doi.o g/10.1016/j.eswa.2022.118039
Recei ed 7 Feb ua y 2022; Recei ed in e ised o m 13 May 2022; Accep ed 30 June 2022
Expe Sys ems Wi h Applica ions 208 (2022) 118039
2
ha e a s ong e ec on se e al p ope ies o ubbe mix u es. The main
addi i es and hei unc ions we e desc ibed in Lenzi e al. (2016).
The pape Jonˇ
s a e al. (2011) examines he e ec o nano-s y ene
bu adiene ubbe in phenolic nanocomposi es. When applied in he
amoun o only se e al pe cen , hese nanopa icles subs an ially in-
c ease he no ched impac s eng h wi hou a signi ican change in
lexu al pe o mance.
The applica ion o ul asound du ing he ex usion p ocess o
di e en ubbe ypes showed changes due o die p essu e (Liu, Ma,
Zhan, & Wang, 2015). Inc easing he ul asound ampli ude dec eased
he die p essu e o bo h na u al ubbe and mix u es o na u al and
s y ene bu adiene ubbe . In he case o s y ene-bu adiene ubbe , he
die p essu e inc eased.
In (Choi & Isaye , 2015), he au ho s p esen ed liquid isop ene as a
eplacemen o oil plas icize . In his case, liquid isop ene educed bo h
Mooney and appa en iscosi y and supp essed plas icize mig a ion.
The wo k (Ren, Zhao, Li, Zhang, & Zhang, 2015) p esen ed an
imp o emen in he mechanical p ope ies o silica- illed ubbe caused
by a ing opening be ween ubbe chains and Si-OH g oups. Ring
opening p ocesses occu ed du ing bo h he ulcaniza ion and mixing
p ocesses.
Polye hylene-co- inyl ace a e, na u al ubbe and o ganoclay mix-
u es we e s udied in (Xu, Jia, Luo, Jia, & Peng, 2015). The addi ion o
o ganoclay supp essed he na u al ubbe amoun and aised Young’s
modulus and yield s ess. Elonga ion a b eak and s ess a b eak we e
dec eased.
The pape (Raza i-Nou i & Ka ami, 2014) s udied he pe cola ion
e ec and u he elec ic anspo phenomena caused by he p esence
o g aphi e.
Mansou , Hussein, and Moha am (2014) desc ibed he in luence o
ille s on na u al ubbe p ope ies. The esul s o di e en ille s
(including ca bon nano ubes) showed an inc ease in iscosi y c oss-link
densi y, modulus and ha dness and a dec ease in cu e ime. The plas i-
cize s in a ubbe blend inc eased hei p ocessing p ope ies. Ne e -
heless, hey o en mig a ed om he ubbe ma ix and caused poo
s abili y in he ubbe blend in he long e m. The ad e se en i on-
men al impac o his p ocess was also subs an ial.
Kopal e al. (2022) ha e p edic ed cu ing cha ac e is ics which play
a signi ican ole in he ulcaniza ion p ocess o ubbe blends using
ANN. Al hough some s udies, e.g. (Lubu a e al., 2021), (Sa a e al.,
2019), (Vodka & Pog ebnyak e al., 2020) and (Lopes, Sil a, & Machado,
2021), ha e used ANN ne wo ks o he p edic ion o di e en p ocesses
in ubbe echnology, hey ocused on he p edic ion o di e en pa-
ame e s bu none o hem ake in o accoun he en i onmen al aspec o
ubbe echnology. As he p oduc ion o ubbe compounds also has i s
en i onmen al impac , i is necessa y o ocus on he op imiza ion o
chemical compounds.
The aim o his pape is o e alua e he in luence o exis ing chem-
icals on he mechanical p ope ies o he mix u e in o de o educe
en i onmen al e ec s in he p oduc ion p ocess o ubbe compounds,
whe e he en i onmen al aspec is he main con ibu ion o his
esea ch. In he esea ch, we deal wi h he e ec o plas icize and he
amoun o su ac an on ce ain mechanical p ope ies such as s eng h
R
m
and moduli M100, M200, M300. The analysis me hod we applied
was based on ou p e ious expe imen al wo k (Ruˇ
ziak e al., 2018).
The a icle is s uc u ed as ollows: Sec ion 2 summa izes he heo y
o a i icial neu al ne wo ks. Sec ion 3 desc ibes he expe imen al con-
di ions. Sec ion 4 gi es a de ailed o e iew o esul s, and Sec ion 5 lis s
he conclusions a ising om he esea ch.
2. Theo y
A i icial neu al ne wo ks a e used o p edic ma e ial p ope ies
when an analy ical ma hema ical app oxima ion canno be ound. Using
his e y obus ma hema ical ool, ma e ial p ope ies can be p edic ed.
A i icial neu al ne wo ks use di e en opologies which, in mos
cases, con ain h ee o ou laye s. Th ee ypes o neu ons occu in hese
ne wo ks:
•inpu neu ons
•hidden neu ons
•ou pu neu ons.
Inpu neu ons con ain in o ma ion abou he pa ame e s which
change in ou da ashee , such as ma e ial composi ion, he mal ea -
men , and o he s. Ou pu neu ons co espond o he ma e ial p ope ies
we wan o p edic . Some o he inpu neu ons a e used o aining and
o he s a e used o gene alizing.
The ad an age o a neu al ne wo k is ha i can bo h lea n and
gene alize. The main disad an age o a neu al ne wo k is ha i needs
mo e alues o one o mo e pa ame e s which change in each inpu
da ase han equi ed by s anda d i ing p ocedu es such as he leas
squa es and o he me hods.
The use o an ANN is es ed wi h he s a is ical pa ame e s REL_RMSE
and R
2
, which a e de ined by Eqs. (1) and (2).
RMSE =
∑n
i=1(yi−oi)2
n.(n−1)
√(1)
R2=(E(y).E(o)
E(y.o))2
(2)
whe e:
y
i
−measu ed alues o
i
−p edic ed alues.
n −numbe o inpu alues.
E (y) −s a is ical mean alue o inpu s.
E (o) −s a is ical mean alue o p edic ed alues.
E (y.o) −mean alue o mul iplica ion o p edic ed and inpu alues.
3. Expe imen al condi ions
3.1. Ma e ials
Plas icize s play an impo an ole in ubbe echnology and ha e an
e ec on he blend mixing. We he e o e p esen he e ec o he amoun
o plas icize on selec ed mechanical p ope ies such as s eng h R
m,
modulus M100, M200 and M300. The expe imen al alues we e
measu ed on he appa a us Z250 All oundLine (250 kN). The ensile
s eng h R
m
and moduli M100, M200, M300 measu emen s we e pe -
o med on his de ice by ensile es .
The chemical composi ion o s anda d ubbe mix u e in PHR (pa s
pe hund ed o ubbe ) is shown in Table 1. The ubbe was SMR
(S anda d Malaysian Rubbe ).
Sul enax is used in ubbe indus y in p ocessing o na u al and
syn he ic ubbe in ubbe compounds as a as accele a o o ulcani-
za ion wi h delayed ac ion. I p o ides good physical and mechanical
p ope ies, high c osslinking e iciency and good modulus. N339 CB is a
ype o ca bon black (CB) and Gumodex is a plas icize .
The gene al p ocedu e o he ubbe ulcaniza es p epa a ion is as
ollows and is p o ec ed by he manu ac u e . In he wo-s age mixing,
which we used in ou case, he mix u e is p epa ed in he i s phase a a
Table 1
Chemical composi ion o s anda d ubbe mix u e.
Ing edien PHR con en
SMR 100
Sulphu 2
ZnO 5
S ea ine 2
Sul enax 2
N339 CB 50
Gumodex 10
D. Seidl e al.
Expe Sys ems Wi h Applica ions 208 (2022) 118039
3
empe a u e o abou 150◦C. The p essu e exe ed by he kneading
wedge is abou 3 MPa and he mixing ime is 4 o 4.5 min. These pa-
ame e s depend on he ype o mix u e. The hickness o he bel is
de e mined by he gap be ween he olle s. To p e en he mix u e om
s icking, i is imme sed in a we ing ba h con aining a sepa a ion
solu ion. The empe a u e o he e luen mix u e is a maximum o 36◦C.
In he second s age o mixing he mix u e ( inal mix u e), he mix u e
is weighed again in he o m o a chopped honeycomb. I is i s p o-
cessed in a mixe , and when he equi ed plas ici y is eached, he
ulcanizing agen and o he subs ances a e added. The empe a u e o
he mixing chambe is lowe han in he p e ious mixing (abou 110◦C)
and he mixing akes a e y sho ime.
The e e ence samples we e mixed wi h oleic acid plas icize wi h a
con en o 1 PHR and 3 PHR, oge he wi h weigh pe cen age o su -
ac an (0, 2, 4, 6, 8, 10, 20, 30 w %). The su ac an was sodium 1-
Table 2
Numbe o hidden uni s.
Type o ne wo k Minimum hidden inpu s Maximum hidden inpu s
Radial basis unc ion RBF 1 8
Th ee-laye MLP, laye 2 1 16
Fou -laye MLP, laye 2 1 16
Fou -laye MLP, laye 3 1 16
Table 3
Bes neu al ne wo ks.
P ope y De ails o ne wo k
R
m
[MPa] MLP 2:2–16-6:6
M100 [MPa] MLP 2:2–16-6:6
M200 [MPa] MLP 2:2–16-16–6:6
M300 [MPa] MLP 2:2–16-16–6:6
Fig. 1. MLP2:2-16-6:6 is bes ne wo k o he p edic ion o ensile s eng h R
m
and modulus M100.
Fig. 2. MLP2:2-16-16-6:6 id he bes ne wo k o moduli M200 and M300.
Table 4
Slope be ween he p edic ed and measu ed cha ac e is ics, pe cen age de iance,
co ela ion coe icien R and mean squa ed e o RMSE.
P ope y Slope Pe cen age di e ence (%) R RMSE (MPa)
R
m
[MPa] 1,048 +4,8 0,982 0,082
M100 [MPa] 0,983 −1,7 0,985 0,028
M200 [MPa] 0,999 −0,1 0,978 0,068
M300 [MPa] 0,938 −6,2 0,981 0,095
Table 5
Sensi i i y coe icien s o he inpu pa ame e s o all he s udied mechanical
cha ac e is ics.
P ope y/Sensi i i y coe icien Su ac an w % Oleic acid amoun
R
m
[MPa] 2.491 1.163
M100 [MPa] 2.632 1.159
M200 [MPa] 2.931 1.203
M300 [MPa] 2.514 1.073
Fig. 3. Es ima ed R
m
alues e sus he eal measu ed alues in he subg oup o
16 alues.
Fig. 4. Es ima ed M100 alues e sus he eal measu ed alues in he subg oup
o 16 alues.
D. Seidl e al.
Expe Sys ems Wi h Applica ions 208 (2022) 118039
4
nonyl-2-(2-nonylphenoxy benzene sul a e). These amphiphilic sub-
s ances educe he su ace ension o he luids and he in e acial en-
sion be ween wo liquids. The use o oleic acid plas icize as a subs i u e
o gumodex has a lowe ecological impac .
3.2. Sensi i i y analysis
The sensi i i y analysis me hod applied in he s udy allows o a
s a is ical analysis o he e ec o echnological p ocesses on he me-
chanical p ope ies o he ubbe blend (in his case). The esponse
g aphs, which a e addi ional esul s om he ANN p ocedu es, indica e
he alues o he s udied p ope ies in combina ions o inpu pa ame e s
which we e no measu ed.
Neu al ne wo ks we e c ea ed in STATISTICA – Neu al Ne wo ks
so wa e. Neu al ne wo k so wa e enables he execu ion o a sensi i i y
analysis and he c ea ion o esponse g aphs. The sensi i i y analysis
e eals how signi ican ly each inpu alue a ec s he ou pu alue, and
he esponse g aphs exp ess he e ec o he selec ed pa ame e on he
ou pu alue.
A neu al ne wo k conduc s a sensi i i y analysis by ea ing each
inpu a iable in u n as i i we e “una ailable”. Each model de ines a
missing alue subs i u ion p ocedu e o allow p edic ions in he absence
o alues o one o mo e inpu s. To de ine he sensi i i y o a pa icula
a iable, we i s un he ne wo k on a se o es cases and accumula e
he ne wo k e o . We hen un he ne wo k again using he same cases,
bu his ime eplace he obse ed alues wi h he alue es ima ed by he
missing alue p ocedu e, and again he ne wo k e o accumula es.
Gi en ha we e ec i ely emo e some in o ma ion which he
ne wo k p esumably uses (i.e., one o i s inpu a iables), we would
easonably expec some de e io a ion in e o o occu . The basic mea-
su e o sensi i i y is he a io o he e o wi h he missing alue sub-
s i u ion and he o iginal e o . The mo e sensi i e he ne wo k is o a
pa icula inpu , he g ea e he de e io a ion we can expec and
he e o e he g ea e he a io. I he a io is one o less, hen making he
a iable “una ailable” ei he has no e ec on he pe o mance o he
ne wo k o enhances i s pe o mance. This means ha he s udied
p ope y is no a unc ion o he “missing” inpu pa ame e .
Fig. 5. Es ima ed M200 alues e sus he eal measu ed alues in he subg oup
o 16 alues.
Fig. 6. Es ima ed M300 alues e sus he eal measu ed alues in he subg oup
o 16 alues.
Fig. 7. P edic ion o ensile s eng h R
m
e sus su ac an amoun .
D. Seidl e al.
Expe Sys ems Wi h Applica ions 208 (2022) 118039
5
Fo he neu al ne wo k inpu pa ame e s, we used he su ac an
amoun as a con inuous neu on inpu and he oleic acid amoun as a
ca ego ical neu on inpu . We selec ed oleic acid as a ca ego ical inpu
because he s udied ma e ials only con ain wo di e en alues o his
inpu pa ame e , which is a e y low le el o lea ning and gene aliza-
ion. The measu ed alues o he mechanical p ope ies we e used as
con inuous neu on ou pu s. Since he concen a ions o he su ac an
equaled 0, 2, 4, 6, 8, 10, 20, and 30 w % and he wo concen a ions o
oleic acid we e 1 PHR and 3 PHR, he neu al ne wo ks lea ned wi h 16
inpu neu ons.
The o al analyzed neu al ne wo ks o each a iable and each s a e
consis ed o en neu al ne wo ks, om which we used he bes i e
neu al ne wo ks. The selec ion c i e ion o e ain a ne wo k was he
lowes e o . The ypes o ne wo k which we applied we e linea , PNN o
GRNN, Radial Basis unc ion, h ee laye and ou -laye pe cep on.
The minimum and maximum alues o he hidden inpu s o each
Fig. 8. P edic ion o modulus M100 e sus su ac an amoun .
Fig. 9. P edic ion o modulus M200 e sus su ac an amoun .
D. Seidl e al.

Expe Sys ems Wi h Applica ions 208 (2022) 118039
6
ne wo k a e shown in Table 2.
4. Resul s
We p esen de ails o he imp o ed eal ime ne wo ks.
In he inal s ep, we compu ed he p edic ions o all i e bes neu al
ne wo ks and com- pa ed hem o he measu ed alues in he eaching
subse . As he bes neu al ne wo k, we used a neu al ne wo k in which
he co ela ion be ween he measu ed and ANN ap- p oxima ed ne wo k
we e closes o 1 by sus aining he oo mean squa e e o be ween he
measu ed and app oxima ed alues closes o ze o. The bes neu al
ne wo ks o each a iable a e lis ed in Table 3.
whe e MLP e e s o he mul ilaye pe cep on ne wo k.
Figs. 1 and 2 p esen he bes ne wo k o moduli 100, 200 and 300.
Table 4 p esen s he slope alues be ween he p edic ed alues o he
s udied mechanical cha ac e is ics and he eal measu ed alues. The
able also p esen s de iances o his slope om he alue o 1 (i cha -
ac e izes he de iance) and he co ela ion coe icien , oge he wi h he
mean squa ed e o RMS.
Based on he esul s p esen ed in Table 4, we can d aw he ollowing
conclusions:
The maximal size o he e o in de e mining he mechanical cha -
ac e is ics by neu on ne wo ks in a 16-membe base is 6.2% ( o he
M300 cha ac e is ic), which is below he measu ing e o limi o he
s a ed mechanical cha ac e is ics o ubbe compounds.
Since he e o in de e mining mechanical cha ac e is ics o neu al
ne wo ks is smalle han he measu ing e o , we can s a e ha ANN a e
able o p edic ensile s eng h and s eng h o he M100, M200, M300
samples be o e ageing.
The s a ed conclusion is also suppo ed by high alues o he co e-
la ion coe icien – a leas 0.978.
The maximal mean squa ed e o be ween he p edic ed and
measu ed alues o he mechanical cha ac e is ics is 0.095 MPa, which
is a he measu abili y limi o he gi en cha ac e is ics.
Mo e use ul pa ame e o assessing he di e ences be ween he
p edic ed and measu ed alues o mechanical cha ac e is ics is he
ela i e mean squa ed e o , de ined as a quo ien o he mean squa ed
e o and he minimal alue o he gi en.
This pa ame e amoun s o 0.005; 0.008; 0.009 and 0.009 o he
ensile s eng h and he M100, M200 and M300 moduli, which co e-
spond o he pe cen age de ia ion o 0.5% o he ensile s eng h, 0.8%
o he M100 modulus and 0.9% o he M200 and M300 moduli.
•These alues ep esen he maximal de iance be ween he p edic ed
and measu ed cha -ac e is ics, wi h he s ipula ion ha hey a e a
leas 10 imes smalle han he unce ain ies in de e mining he
s udied mechanical cha ac e is ics.
•The heo e ical e o in de e mining he mechanical p ope ies o
ubbe compounds based on a leas 10 es specimens is app oxi-
ma ely equal o 5%. The expe imen ally de ec ed e o s in he
de e mina ion o Rm, M100, M200 and M300 o all measu ed
sample ypes and all p ope ies do no exceed he e o alue o 5%.
Based on diag ams 3 o 6, we can d aw he ollowing conclusions:
All he s udied ma e ial p ope ies inc eased along wi h a ise in he
amoun o oleic acid and su ac an .
•Tensile s eng h inc eased app ox. 29% o 1 PHR and 22% o 3
PHR.
•Modulus M100 inc eased app ox. 53% o 1 PHR and 46% o 3PHR.
•Modulus M200 inc eases app ox. 51% o 1 PHR and 44% o 3PHR.
•Modulus M300 inc eases app ox. 53% o 1 PHR and 45% o 3PHR.
Fig. 10. P edic ion o modulus M300 e sus su ac an amoun .
Table 6
To al sha e o he sha e o he su ac an and he olume o oleic acid o he
s udied mechanical cha ac e is ics.
P ope y/Sensi i i y coe icien Su ac an w % Oleic acid amoun
R
m
[MPa] 68.2 % 31.8 %
M100 [MPa] 69.4 % 30.6 %
M200 [MPa] 70.9 % 29.1 %
M300 [MPa] 70.1 % 29.9 %
D. Seidl e al.
Expe Sys ems Wi h Applica ions 208 (2022) 118039
7
•All hese inc eases a e highly abo e he p ope y measu emen un-
ce ain y; he e o e, he su ac an weigh pe cen age has a signi i-
can ole in he ensile s eng h and moduli.
•The di e ences be ween 1 PHR and 3 PHR in inc ease we e 7%, 7%,
7%, and 8%, which a e all below he measu emen e o s o hese
ypes o ubbe blends, and we can he e o e conclude ha he e ec
o su ac an weigh pe cen age is app oxima ely he same o 1 PHR
and 3 PHR mix u es, which is also suppo ed by a e y high co e-
la ion coe icien .
•be ween he p edic ions and measu emen s o bo h 1 PHR and 3
PHR mix u es.
•The inc ease in R
m
was p obably caused by a highe deg ee o
s uc u e c oss- linking Sk obak e al. (2016).
In he ollowing esul s, we show p edic ions o he s udied p ope -
ies. Because o same inc ease in he s udied mechanical p ope ies o 1
PHR and 3 PHR oleic acid mix u es, we show he p edic ion o he
a e age alues o p ope y e sus su ac an amoun .
Fo each neu al model esponse, g aphs we e c ea ed. The esponse
g aphs exp ess he in luence o he chosen inpu pa ame e on he p e-
dic ed ou pu pa ame e – see Figs. 7-10. These g aphs exp ess he in-
luence o he su ac an amoun on he p edic ed mechanical
p ope ies. Fig. 7 shows he p edic ion o ensile s eng h, while Figs. 8-
10 show he p edic ion esul s o modulus M100, M200 and M300
espec i ely.
Based on Figs. 7-10, we can d aw he ollowing conclusions:
•The bigges change in he s udied mechanical cha ac e is ics wi h a
change in he sha e o he su ac an can be obse ed wi hin he
weigh pe cen age ange o 0 o 10%; he e ec o he su ac an is
educed o e 10%.
•An inc ease in he alues o he s udied mechanical cha ac e is ics o
up o 10% ep e- sen s 12%; 27%; 26% and 22%, while he inc ease
o up o 30% in he weigh pe cen age o he su ac an only co e-
sponds o inc eases o 25.5%; 49.5%; 47.5% and 49%.
•An inc ease in he sha e o he su ac an by 1/3 o he o e all in-
c ease leads o a 48% inc ease o he o al inc ease o he ensile
s eng h R
m
.
•An inc ease in he sha e o he su ac an by 1/3 o he o e all in-
c ease leads o a 55% inc ease in he o al inc ease o he M100
modulus.
•An inc ease in he sha e o he su ac an by 1/3 o he o e all in-
c ease leads o a 55% inc ease in he o al inc ease o he M200
modulus.
•An inc ease in he sha e o he su ac an by 1/3 o he o e all in-
c ease leads o a 45% inc ease in he o al inc ease o he M300
modulus.
•On he o he hand, an inc ease in he su ac an by 2/3 o he o e all
inc ease leads o an inc ease in he ensile s eng h and o he M100,
M200 and M300 moduli by 82.5%; 85%; 87.5% and 91%.
•Such an inc ease o a 20% sha e o he su ac an is su icien o
imp o ing he s udied mechanical cha ac e is ics and, a he same
ime, educing he sha e o he su ac an has a posi i e impac on he
en i onmen al bu den o he inal mix u e o e ime since he inal
mix u e as well as su ac an age due o he impac o hea and ime.
Below, we discuss he sensi i i y analysis ob ained om he p edic-
ion using he ANN ne wo ks. Table 5 shows he sensi i i y coe icien s
o he inpu pa ame e s o all he s udied mechanical cha ac e is ics.
Based on Table 5, we can s a e ha :
•The inc ease in he e o by omi ing he sha e o he oleic acid (in
he way he sensi i i y coe icien s o neu al ne wo ks a e calcula ed)
amoun s o 16%, 16%, 20% and 7% o R
m
, M100, M200 and M300,
which is close o he measu ing e o , i.e., he change in he me-
chanical cha ac e is ics wi h a change in he sha e o he su ac an
can be desc ibed by a single unc ion o bo h concen a ions o he
oleic acid, which can be also deduced om Figs. 3-6.
•On he o he hand, he same ope a ion o he sha e o he su ac an
leads o, a leas , a 149% inc ease in he mechanical cha ac e is ics,
which means ha he su ac an has a signi ican ly g ea e e ec on
he mechanical cha ac e is ics.
In Table 6 we calcula ed he o e all sensi i i y coe icien s o bo h
inpu pa ame e s and all s udied mechanical cha ac e is ics.
I is clea based on Table 6 ha he sha e o he su ac an has
app oxima ely a 70% e ec on he s udied mechanical cha ac e is ics.
Oleic acid has a nega i e en i onmen al impac especially du ing he
ageing p ocess. Based on he esul s p esen ed in he able, we can hus
ecommend a educ ion in he sha e o he so ene wi h a simul aneous
inc ease in he sha e o he su ac an o be e en i onmen al mix u es
wi h he same mechanical cha ac e is ics.
5. Conclusion
Based on he esul s o he p edic ion o he mechanical cha ac e -
is ics o ubbe com- pounds wi h a ious olume sha es o oleic acid
and a ious weigh sha es o he su ac an , using a s a is ical se o 16
samples, we can d aw he ollowing conclusions:
•ANN ne wo ks a e sui able ools o he p edic ion o ensile s eng h
and modulus o ubbe mix u es con aining oleic acid, wi h a co -
ela ion o a leas 0.98 and REL_RMSE maximum 0.8 %.
•The dependence o mechanical p ope ies e sus su ac an amoun
can be desc ibed by a single unc ion o 1 PHR and 3 PHR mix u es.
•ANN ne wo ks can also p edic he mechanical p ope ies o non-
measu ed concen a- ions o su ac an .
•F om he p edic ion o mechanical p ope ies, we can conclude ha
he le el o su - ac an amoun a 20 w % inc eases he mechanical
p ope ies o a leas 80 % o he le el o inc ease o 30 w % o
su ac an , and he e o e wi h he aid o ANNs, we can lowe he
en i onmen al impac o he mix u es, especially as he ma e ial
ages.
•F om he sensi i i y analysis, we can conclude ha unca ing he
changes in he oleic acid amoun leads only o a maximum 20 %
inc ease in e o , he e o e we can conclude ha he oleic acid
amoun in he egion o 1 PHR o 3 PHR does no ha e a signi ican
e ec on he s udied mechanical p ope ies.
•T unca ing he changes o su ac an amoun , howe e , leads o an
inc ease in e o o a leas 150 %, he e o e we can conclude ha he
su ac an amoun s be ween 3 w % and 30 w % ha e a e y la ge
e ec on he mechanical p ope ies.
•No malizing he sensi i i y coe icien s leads o a 70 % e ec on
mechanical p ope ies by he su ac an amoun and only a 30 %
e ec by he oleic acid.
•The lesse e ec o oleic acid is because oleic acid is mainly used in
ubbe mix u es o imp o e he p ocessing o mix u es which a e no
c ea ed o any speci ic mechanical p ope ies.
•Su ac an s, howe e , bond wi h ille s, and he e o e he amoun o
su ac an has a signi ican e ec on mechanical p ope ies.
•The submi ed s udy demons a es he possibili ies o how o op i-
mize he ma e ial composi ion o p oduc s o ma e ial ailo ing wi h
an accen on he en i onmen al bu den.
Decla a ion o Compe ing In e es
The au ho s decla e ha hey ha e no known compe ing inancial
in e es s o pe sonal ela ionships ha could ha e appea ed o in luence
he wo k epo ed in his pape .
D. Seidl e al.
Expe Sys ems Wi h Applica ions 208 (2022) 118039
8
Acknowledgemen s
The esea ch was suppo ed by G an o SGS No. SP2022/81, VSB –
Technical Uni e si y o Os a a, Czech Republic.
Re e ences
Choi, J., & Isaye , A. (2015). Na u al ubbe /s y ene bu adiene ubbe blends p epa ed
by ul asonically aided ex usion. Jou nal o Elas ome s &Amp; Plas ics, 47(2),
170–193. h ps://doi.o g/10.1177/0095244313507803
Doh, J., Lee, S., & Lee, J. (2016). Back-p opaga ion neu al ne wo k-based app oxima e
analysis o ue s ess-s ain beha io s o high-s eng h me allic ma e ial. Jou nal o
Mechanical Science and Technology, 30(3), 1233–1241. h ps://doi.o g/10.1007/
s12206-016-0227-1
Doucou e, B., Agbossou, K., & Ca denas, A. (2016). Time se ies p edic ion using a i icial
wa ele neu al ne wo k and mul i- esolu ion analysis: Applica ion o wind speed
da a. Renewable Ene gy, 92, 202–211. h ps://doi.o g/10.1016/j.
enene.2016.02.003
Fa hana, N., Abdul Majid, M., Paul aj, M., Ahmadhilmi, E., Fakhzan, M., & Gibson, A.
(2016). A no el ib a ion based non-des uc i e es ing o p edic ing glass ib e/
ma ix olume ac ion in composi es using a neu al ne wo k model. Composi e
S uc u es, 144, 96–107. h ps://doi.o g/10.1016/j.comps uc .2016.02.066
Ghosh, S., Cha e jee, R., & Shanke , P. (2016). Es ima ion o ash, mois u e con en and
de ec ion o coal li ho acies om well logs using eg ession and a i icial neu al
ne wo k modelling. Fuel, 177, 279–287. h ps://doi.o g/10.1016/j. uel.2016.03.001
Hwang, I., Pa k, H., & Chang, J. (2016). Ensemble o deep neu al ne wo ks using acous ic
en i onmen classi ica ion o s a is ical model-based oice ac i i y de ec ion.
Compu e Speech &Amp. Language, 38, 1–12. h ps://doi.o g/10.1016/j.
csl.2015.11.003
Janˇ
cíko ´
a, Z., Boˇ
s´
ak, O., Zimný, O., Legoue a, M., Min´
a ik, S., Koˇ
s ial, P., & Poulain, M.
(2014). The Neu al Ne wo k Analysis o Op ical Glasses T ansmi ance. In
In e na ional Ca pa ian Con ol Con e ence (pp. 196–200). Velke Ka lo ice.
Jonˇ
s a, Z., Koˇ
s ial, P., Ruˇ
ziak, I., Jonˇ
s a, P., Ju ˇ
cio ´
a, J., Janˇ
cíko ´
a, Z., e al. (2011).
Ad anced Fille s Enhancing The mal and Mechanical P ope ies o Rubbe Blends.
Jou nal o Nano Resea ch, 13, 27–32. h ps://doi.o g/10.4028/www.scien i ic.ne /
jnano .13.27
Kopal, I., Labaj, I., V ˇ
sko ´
a, J., Ha niˇ
c´
a o ´
a, M., Valíˇ
cek, J., Ond uˇ
so ´
a, D., e al. (2022).
A Gene alized Reg ession Neu al Ne wo k Model o P edic ing he Cu ing
Cha ac e is ics o Ca bon Black-Filled Rubbe Blends. Polyme s, 14(4), 653. h ps://
doi.o g/10.3390/polym14040653
Le, B., Y onne , J., & He, Q. (2015). Compu a ional homogeniza ion o nonlinea elas ic
ma e ials using neu al ne wo ks. In e na ional Jou nal o Nume ical Me hods in
Enginee ing, 104(12), 1061–1084. h ps://doi.o g/10.1002/nme.4953
Lenzi, G., E angelis a, R., Dua e, E., Colpini, L., Fo na i, A., Menechini Ne o, R., e al.
(2016). Pho oca aly ic deg ada ion o ex ile eac i e dye using a i icial neu al
ne wo k modeling app oach. Desalina ion and Wa e T ea men , 57(30),
14132–14144. h ps://doi.o g/10.1080/19443994.2015.1064035
Liu, W., Ma, J., Zhan, M., & Wang, K. (2015). The oughening e ec and mechanism o
s y ene-bu adiene ubbe nanopa icles o no olac esin. Jou nal o Applied Polyme
Science, n/a-n/a.. h ps://doi.o g/10.1002/app.41533
Lopes, H., Sil a, S., & Machado, J. (2021). Applica ion o a i icial neu al ne wo ks o
p edic mechanical beha iou o co k- ubbe composi es. Neu al Compu ing and
Applica ions, 33(20), 14069–14078. h ps://doi.o g/10.1007/s00521-021-06048-w
Lubu a, J., Kojic, P., Pa lice ic, J., Ikonic, B., Omo jan, R., & Be a, O. (2021). P edic ion
o ubbe ulcaniza ion using an a i icial neu al ne wo k. Chemical Indus y, 75(5),
277–283. h ps://doi.o g/10.2298/hemind210511026l
Mansou , S., Hussein, M., & Moha am, A. (2014). The moelec ic Powe P ope ies o
G aphi e-Loaded Ni ile Rubbe /Poly( inyl chlo ide) Blends Abo e he Pe cola ion
Th eshold. Ad ances in Polyme Technology, 33(S1), n/a-n/a. h ps://doi.o g/
10.1002/ad .21439
Raza i-Nou i, M., & Ka ami, M. (2014). E ec o ubbe con en on mo phology and
he mal and heological beha io s o ac yloni ile-bu adiene ubbe /poly(e hylene-
co- inyl ace a e)/o ganoclay nanocomposi es. Polyme , 55(26), 6940–6947. h ps://
doi.o g/10.1016/j.polyme .2014.10.050
Ren, Y., Zhao, S., Li, Q., Zhang, X., & Zhang, L. (2015). In luence o liquid isop ene on
heological beha io and mechanical p ope ies o polyisop ene ubbe . Jou nal o
Applied Polyme Science, 132(8), n/a-n/a. h ps://doi.o g/10.1002/app.41485
Ruˇ
ziak, I., Koˇ
s ial, P., Janˇ
cíko ´
a, Z., Gaj ansk´
a, M., Kopal, I., K is ak, L., e al. (2018).
A i icial neu al ne wo ks p edic ion o ubbe mechanical p ope ies in aged and
nonaged s a e. Ad anced S uc u ed Ma e ials, 72, 27–35. h ps://doi.o g/10.1007/
978-3-319-59590-0_3
Sa a , M., Lin, B., Chen, W., Langaue , D., Racla ska, H., P´
e issans, A., e al. (2019).
E ec s o imp egna ed po assium on biomass o e ac ion. Ene gy P ocedia, 158,
55–60. h ps://doi.o g/10.1016/j.egyp o.2019.01.035
Salehi, F., & Raza i, S. (2016). Modeling o was e b ine nano il a ion p ocess using
a i icial neu al ne wo k and adap i e neu o- uzzy in e ence sys em. Desalina ion and
Wa e T ea men , 57(31), 14369–14378. h ps://doi.o g/10.1080/
19443994.2015.1063087
Seidl, D., Koˇ
s ial, P., Janˇ
cíko ´
a, Z., Ruˇ
ziak, I., Rusn´
ako ´
a, S., & Fa kaˇ
so ´
a, M. (2011).
Modal analysis – Measu emen s e sus FEM and a i icial neu al ne wo ks
simula ion. Digi al In o ma ion P ocessing and Communica ions, 170–175.
Sk obak, A., Janoˇ
s ík, V., S anek, M., Manas, D., O sik, M., Senke ik, V., e al. (2016).
Mechanical P ope ies o Injec ion Molded and Comp ession Molded Samples om
Na u e-Bu adiene Rubbe . MATEC Web O Con e ences, 76, 02023. h ps://doi.o g/
10.1051/ma eccon /20167602023
Vodka, O., Pog ebnyak, S. (2020). App oxima ion o S ess-S ain Cu e o Rubbe -Like
Ma e ial Using An A i icial Neu al Ne wo k. In 2020 IEEE KHPI Week on Ad anced
Technology (KHPI WEEK) (pp. 221-226). Kha ki , UKRAINE.
Xu, T., Jia, Z., Luo, Y., Jia, D., & Peng, Z. (2015). In e acial in e ac ion be ween he
epoxidized na u al ubbe and silica in na u al ubbe /silica composi es. Applied
Su ace Science, 328, 306–313. h ps://doi.o g/10.1016/j.apsusc.2014.12.029
D. Seidl e al.