129955 20241125101132.0 doi 10.1016/j.addma.2023.103754 sideral 134475 ART-2023-134475 eng Gallardo, Daniel Universidad de Zaragoza (orcid)0000-0001-9317-9991 X-ray computed tomography performance in metrological evaluation and characterisation of polymeric additive manufactured surfaces. 2023 Access copy available to the general public Unrestricted Surface characterisation has always been an important aspect in quality control for industrial parts. With the development of additive manufacturing (AM) technologies and the design freedom they provide, new measuring techniques have become necessary for inspection of inner elements and hidden surfaces. X-ray computed tomography (XCT) has the potential for this purpose. Its performance in surface characterisation has been studied mainly for new metallic AM technologies due to its extended use in industrial products; however, it is not possible to directly extend this knowledge to polymeric AM surface characterisation, due to the material, manufacturing process itself and behaviour with X-rays. In this paper, a study of different polymeric AM surfaces by means of XCT is presented, taking into consideration the layer-by-layer technology and geometrical parameters (angle of inclination, layer thickness). Areal and linear roughness parameters are extracted to create a comparison between XCT measurements and reference measurements with a calibrated focal variation microscope (FVM). A reasonably achievable geometrical magnification for a polymeric AM assembly with industrial part dimensions (28 µm voxel size for a 50 mm × 55 mm × 60 mm object) is demonstrated to be suitable for roughness evaluation with an acceptable precision. Results show that it is possible to evaluate roughness in FDM and Polyjet technologies with linear parameters, while areal parameters are more suitable for SLS parts; also, post process has an important role in surface characterisation, but its effect is different depending on the technology. info:eu-repo/grantAgreement/ES/MICINN-AEI/PID2021-127134O-B-I00 info:eu-repo/grantAgreement/ES/MICINN/PRE2019-089465 info:eu-repo/grantAgreement/ES/MICINN/RTI2018-097191-B-I00 info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 10.3 2023 MATERIALS SCIENCE, MULTIDISCIPLINARY 51 / 439 = 0.116 2023 Q1 T1 ENGINEERING, MANUFACTURING 4 / 68 = 0.059 2023 Q1 T1 2.837 2023 Biomedical Engineering 2023 Q1 Materials Science (miscellaneous) 2023 Q1 Industrial and Manufacturing Engineering 2023 Q1 Engineering (miscellaneous) 2023 Q1 19.8 2023 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Díaz, Lucía-Candela Universidad de Zaragoza (orcid)0000-0003-3823-7903 Jiménez, Roberto (orcid)0000-0003-2357-1407 Torralba, Marta (orcid)0000-0002-3069-2736 Albajez, José Antonio Universidad de Zaragoza (orcid)0000-0003-4839-0610 Yagüe Fabra, José Antonio Universidad de Zaragoza (orcid)0000-0001-7152-4117 5002 515 Universidad de Zaragoza Dpto. Ingeniería Diseño Fabri. Área Ing. Procesos Fabricación 75 (2023), 103754 [20 pp.] Additive Manufacturing 2214-8604 8279489 http://zaguan.unizar.es/record/129955/files/texto_completo.pdf Versión publicada 2560524 http://zaguan.unizar.es/record/129955/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:129955 articulos driver 2024-11-22-11:59:22 ARTICLE