000131034 001__ 131034
000131034 005__ 20240319081032.0
000131034 0247_ $$2doi$$a10.3390/polym14102049
000131034 0248_ $$2sideral$$a136647
000131034 037__ $$aART-2022-136647
000131034 041__ $$aeng
000131034 100__ $$aViejo, Ismael
000131034 245__ $$aA practical approach for uncertainty management in rubber manufacturing processes using physics-informed real-time models
000131034 260__ $$c2022
000131034 5060_ $$aAccess copy available to the general public$$fUnrestricted
000131034 5203_ $$aIndustrial manufacturing management can benefit from the use of modeling. For a correct representation of the manufacturing process and the subsequent management, the models must incorporate the effect of the uncertainty propagation throughout the stages considered. In this paper, the proposed methodology for uncertainty management uses a nonintrusive method that is based on building a deterministic physics-informed real-time model for the a posteriori computation of output uncertainties. This model is built using tensor factorization as the Model Order Reduction technique. It includes as model parameters: material properties, process operations, and those random and epistemic uncertainties of known variables. The resulting model is used off-line to identify sensitivities and therefore to unify uncertainty management across the material transformation process. This method is presented by its direct application to an automotive door seal manufactured by continuous co-extrusion of several rubbers and reinforcement (metal strip and glass fiber thread).
000131034 536__ $$9info:eu-repo/grantAgreement/EC/H2020/723082/EU/Non-intrusive Sparse Subspace Learning for Parametrized Problems/STREAM-0D$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 723082-STREAM-0D
000131034 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000131034 590__ $$a5.0$$b2022
000131034 591__ $$aPOLYMER SCIENCE$$b16 / 85 = 0.188$$c2022$$dQ1$$eT1
000131034 592__ $$a0.72$$b2022
000131034 593__ $$aPolymers and Plastics$$c2022$$dQ1
000131034 593__ $$aChemistry (miscellaneous)$$c2022$$dQ1
000131034 594__ $$a6.6$$b2022
000131034 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000131034 700__ $$0(orcid)0000-0001-6906-9143$$aIzquierdo, Salvador$$uUniversidad de Zaragoza
000131034 700__ $$aConde, Ignacio
000131034 700__ $$aZambrano, Valentina
000131034 700__ $$aAlcalá, Noelia
000131034 700__ $$aGracia, Leticia A.
000131034 7102_ $$15001$$2600$$aUniversidad de Zaragoza$$bDpto. Ciencia Tecnol.Mater.Fl.$$cÁrea Mecánica de Fluidos
000131034 773__ $$g14, 10 (2022), 2049 [13 pp.]$$pPolymers (Basel)$$tPolymers$$x2073-4360
000131034 8564_ $$s3080065$$uhttps://zaguan.unizar.es/record/131034/files/texto_completo.pdf$$yVersión publicada
000131034 8564_ $$s2864883$$uhttps://zaguan.unizar.es/record/131034/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000131034 909CO $$ooai:zaguan.unizar.es:131034$$particulos$$pdriver
000131034 951__ $$a2024-03-18-17:10:27
000131034 980__ $$aARTICLE