000095584 001__ 95584
000095584 005__ 20210902121746.0
000095584 0247_ $$2doi$$a10.1007/s12289-020-01578-5
000095584 0248_ $$2sideral$$a119792
000095584 037__ $$aART-2020-119792
000095584 041__ $$aeng
000095584 100__ $$aSerratore, G.
000095584 245__ $$aA novel sensitivity analysis on friction spot joining process performed on aluminum\polycarbonate sheets by simulation
000095584 260__ $$c2020
000095584 5060_ $$aAccess copy available to the general public$$fUnrestricted
000095584 5203_ $$aThe manufacturing research has been focusing on the improvement of product performance and lightweight design. The synergic effects between material properties and manufacturing solutions have been considered, extensively. Specifically, joining techniques have been developing with the aim to propose new suitable solutions considering dissimilarities in the properties of the materials that have to be combined. Setting of new manufacturing routes is, therefore, a demanding task. In this direction, there are several methods available in the scientific literature that are focused on sensitivity analysis or optimization/minimization techniques to reduce the necessary attempts or to find a solution/correlation among big data. In this work, the goal of obtaining high joint efficiency between Aluminum and Polycarbonate sheets by the Friction Spot Joining process is considered as a case study. This process must face two main issues, i.e., the mechanical, physical and chemical compatibilities between the parts and the integrity protection of the polymeric sheet near the joining area. The process parameters influences were analysed using numerical simulations performed by a commercial FE code. The number of executed analyses was reduced with a planned DoE. From these results, the Code2Vect algorithm was employed with the aim to visualize, efficiently, high-dimensional data and to evaluate the influences of some identified parameters on the process answer. Finally, a transfer function involving the input and output quantities of interest was derived in a compact representation by a Newton Raphson minimization technique.
000095584 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000095584 590__ $$a2.028$$b2020
000095584 591__ $$aMETALLURGY & METALLURGICAL ENGINEERING$$b30 / 80 = 0.375$$c2020$$dQ2$$eT2
000095584 591__ $$aENGINEERING, MANUFACTURING$$b37 / 50 = 0.74$$c2020$$dQ3$$eT3
000095584 591__ $$aMATERIALS SCIENCE, MULTIDISCIPLINARY$$b245 / 333 = 0.736$$c2020$$dQ3$$eT3
000095584 592__ $$a0.546$$b2020
000095584 593__ $$aMaterials Science (miscellaneous)$$c2020$$dQ2
000095584 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000095584 700__ $$aGagliardi, F.
000095584 700__ $$aMartín, C.A.
000095584 700__ $$aPinilo, R.I.
000095584 700__ $$0(orcid)0000-0003-1017-4381$$aCueto, Elías$$uUniversidad de Zaragoza
000095584 700__ $$aFilice, L.
000095584 700__ $$aChinesta, F.
000095584 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est.
000095584 773__ $$g13 (2020), 737–747$$pInt.J.Mater.Form.$$tInternational Journal of Material Forming$$x1960-6206
000095584 8564_ $$s2293925$$uhttps://zaguan.unizar.es/record/95584/files/texto_completo.pdf$$yVersión publicada
000095584 8564_ $$s27226$$uhttps://zaguan.unizar.es/record/95584/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000095584 909CO $$ooai:zaguan.unizar.es:95584$$particulos$$pdriver
000095584 951__ $$a2021-09-02-09:46:51
000095584 980__ $$aARTICLE