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Sensitivity analysis: A tool for tailoring environmentally friendly materials

Seidl, David

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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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. 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