000106674 001__ 106674
000106674 005__ 20211201113718.0
000106674 0247_ $$2doi$$a10.3390/ma13245650
000106674 0248_ $$2sideral$$a124637
000106674 037__ $$aART-2020-124637
000106674 041__ $$aeng
000106674 100__ $$0(orcid)0000-0003-2357-1407$$aJiménez Pacheco, R.
000106674 245__ $$aAssessment of gradient-based algorithm for surface determination in multi-material gap measurements by x ray computed tomography
000106674 260__ $$c2020
000106674 5060_ $$aAccess copy available to the general public$$fUnrestricted
000106674 5203_ $$aXX-ray computed tomography is one of the most promising measurement techniques for the dimensional evaluation of industrial components. However, the inherent complexity of this technology also involves important challenges. One of them is to develop surface determination algorithms capable of providing measurement results with better accuracy in any situation—for example, for single and multi-material parts, inner and outer geometries, with and without image artefacts, etc.—and reducing user influence. The surface determination is particularly complex in the case of multi-material parts, especially when they are separated by small air gaps. In previous works, two gradient-based algorithms were presented, that showed less measurement variability throughout the whole part, and reduced the computational cost and operator influence compared to threshold-based algorithms. This work focuses on the evaluation of the performance of these algorithms when used in a scenario so complex that parts of it are made of one or more materials (metal–metal and polymer–metal) with gaps inside. For this purpose, a set of multi-material reference standards is used. The presented gradient-based algorithms show measurement errors comparable to commercial threshold-based algorithms, but with the capability of obtaining accurate measurements in smaller gaps, apart from reducing the user influence on the measurement process.
000106674 536__ $$9info:eu-repo/grantAgreement/ES/AEI/RTI2018-097191-B-I00$$9info:eu-repo/grantAgreement/ES/DGA/T56-20R
000106674 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000106674 590__ $$a3.623$$b2020
000106674 591__ $$aMETALLURGY & METALLURGICAL ENGINEERING$$b17 / 80 = 0.213$$c2020$$dQ1$$eT1
000106674 591__ $$aMATERIALS SCIENCE, MULTIDISCIPLINARY$$b152 / 333 = 0.456$$c2020$$dQ2$$eT2
000106674 591__ $$aPHYSICS, CONDENSED MATTER$$b27 / 69 = 0.391$$c2020$$dQ2$$eT2
000106674 591__ $$aPHYSICS, APPLIED$$b51 / 160 = 0.319$$c2020$$dQ2$$eT1
000106674 591__ $$aCHEMISTRY, PHYSICAL$$b79 / 162 = 0.488$$c2020$$dQ2$$eT2
000106674 592__ $$a0.682$$b2020
000106674 593__ $$aMaterials Science (miscellaneous)$$c2020$$dQ2
000106674 593__ $$aCondensed Matter Physics$$c2020$$dQ2
000106674 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000106674 700__ $$aOntiveros, S.
000106674 700__ $$0(orcid)0000-0001-7152-4117$$aYagüe Fabra, J. A$$uUniversidad de Zaragoza
000106674 700__ $$aZanini, F.
000106674 700__ $$aCarmignato, S.
000106674 700__ $$aAlbajez, J.A.
000106674 7102_ $$15002$$2515$$aUniversidad de Zaragoza$$bDpto. Ingeniería Diseño Fabri.$$cÁrea Ing. Procesos Fabricación
000106674 773__ $$g13, 24 (2020), 5650 [11 pp.]$$pMATERIALS$$tMATERIALS$$x1996-1944
000106674 8564_ $$s2602650$$uhttps://zaguan.unizar.es/record/106674/files/texto_completo.pdf$$yVersión publicada
000106674 8564_ $$s2560588$$uhttps://zaguan.unizar.es/record/106674/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000106674 909CO $$ooai:zaguan.unizar.es:106674$$particulos$$pdriver
000106674 951__ $$a2021-12-01-11:35:44
000106674 980__ $$aARTICLE