000131035 001__ 131035
000131035 005__ 20240202151704.0
000131035 0247_ $$2doi$$a10.1016/j.wear.2011.07.010
000131035 0248_ $$2sideral$$a136652
000131035 037__ $$aART-2012-136652
000131035 041__ $$aeng
000131035 100__ $$0(orcid)0000-0001-6906-9143$$aIzquierdo, S.$$uUniversidad de Zaragoza
000131035 245__ $$aMultiscale characterization of computational rough surfaces and their wear using self-affine principal profiles
000131035 260__ $$c2012
000131035 5203_ $$aA methodology is introduced where principal component analysis (PCA) and fractal profile description are combined for characterizing and modelling computational rough surfaces for their use in computer-aided-engineering (CAE) processes. The main idea is to extract principal profiles (PPs) from digital surfaces acquired using confocal microscopy and to model the projection of the original surface onto these PPs by means of Weierstrass–Mandelbrot series; thus, the method is called self-affine principal profile (SAPP) analysis. These PPs are the eigenvectors of the covariance matrix of the digital surface. Profiles modelled in this way preserve information about all scales due to the scale-invariant nature of self-affine profiles. PPs are selected to be those containing the greater amount of information about the surface in terms of spatial variance. It is shown that just the first few PPs are enough to approximately reproduce a given surface and that this approximation can be measured. The methodology is applied to build families of surfaces with specific fractal dimensions and to characterize surface evolution due to wear. The quality of surfaces obtained is quantified in terms of mesh resolution, number of PPs used for modelling the surface and number of terms in the Weierstrass–Mandelbrot series, which are all relevant parameters for building meshes for CAE.
000131035 536__ $$9info:eu-repo/grantAgreement/ES/DPI2008-0648
000131035 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000131035 590__ $$a1.262$$b2012
000131035 591__ $$aMATERIALS SCIENCE, MULTIDISCIPLINARY$$b118 / 240 = 0.492$$c2012$$dQ2$$eT2
000131035 591__ $$aENGINEERING, MECHANICAL$$b35 / 125 = 0.28$$c2012$$dQ2$$eT1
000131035 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000131035 700__ $$aLopez, C. I.
000131035 700__ $$aValdes, J. R.
000131035 700__ $$aMiana, M.
000131035 700__ $$aMartinez, F. J.
000131035 700__ $$aJimenez, M. A.
000131035 7102_ $$15001$$2600$$aUniversidad de Zaragoza$$bDpto. Ciencia Tecnol.Mater.Fl.$$cÁrea Mecánica de Fluidos
000131035 773__ $$g274 (2012), 1-7$$pWear$$tWEAR$$x0043-1648
000131035 8564_ $$s1173724$$uhttps://zaguan.unizar.es/record/131035/files/texto_completo.pdf$$yVersión publicada
000131035 8564_ $$s2867245$$uhttps://zaguan.unizar.es/record/131035/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000131035 909CO $$ooai:zaguan.unizar.es:131035$$particulos$$pdriver
000131035 951__ $$a2024-02-02-14:54:42
000131035 980__ $$aARTICLE