106674 20211201113718.0 doi 10.3390/ma13245650 sideral 124637 ART-2020-124637 eng Jiménez Pacheco, R. (orcid)0000-0003-2357-1407 Assessment of gradient-based algorithm for surface determination in multi-material gap measurements by x ray computed tomography 2020 Access copy available to the general public Unrestricted XX-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. info:eu-repo/grantAgreement/ES/AEI/RTI2018-097191-B-I00 info:eu-repo/grantAgreement/ES/DGA/T56-20R info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 3.623 2020 METALLURGY & METALLURGICAL ENGINEERING 17 / 80 = 0.213 2020 Q1 T1 MATERIALS SCIENCE, MULTIDISCIPLINARY 152 / 333 = 0.456 2020 Q2 T2 PHYSICS, CONDENSED MATTER 27 / 69 = 0.391 2020 Q2 T2 PHYSICS, APPLIED 51 / 160 = 0.319 2020 Q2 T1 CHEMISTRY, PHYSICAL 79 / 162 = 0.488 2020 Q2 T2 0.682 2020 Materials Science (miscellaneous) 2020 Q2 Condensed Matter Physics 2020 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Ontiveros, S. Yagüe Fabra, J. A Universidad de Zaragoza (orcid)0000-0001-7152-4117 Zanini, F. Carmignato, S. Albajez, J.A. 5002 515 Universidad de Zaragoza Dpto. Ingeniería Diseño Fabri. Área Ing. Procesos Fabricación 13, 24 (2020), 5650 [11 pp.] MATERIALS MATERIALS 1996-1944 2602650 http://zaguan.unizar.es/record/106674/files/texto_completo.pdf Versión publicada 2560588 http://zaguan.unizar.es/record/106674/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:106674 articulos driver 2021-12-01-11:35:44 ARTICLE