X-ray computed tomography performance in metrological evaluation and characterisation of polymeric additive manufactured surfaces.

Gallardo, Daniel (Universidad de Zaragoza) ; Díaz, Lucía-Candela (Universidad de Zaragoza) ; Jiménez, Roberto ; Torralba, Marta ; Albajez, José Antonio (Universidad de Zaragoza) ; Yagüe Fabra, José Antonio (Universidad de Zaragoza)

Resumen: 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.

Idioma: Inglés

DOI: 10.1016/j.addma.2023.103754

Año: 2023

Publicado en: Additive Manufacturing 75 (2023), 103754 [20 pp.]
ISSN: 2214-8604

Factor impacto JCR: 10.3 (2023)

Categ. JCR: MATERIALS SCIENCE, MULTIDISCIPLINARY rank: 51 / 439 = 0.116 (2023) - Q1 - T1
Categ. JCR: ENGINEERING, MANUFACTURING rank: 4 / 68 = 0.059 (2023) - Q1 - T1

Factor impacto CITESCORE: 19.8 - Biomedical Engineering (Q1) - Industrial and Manufacturing Engineering (Q1) - Materials Science (all) (Q1) - Engineering (miscellaneous) (Q1)

Factor impacto SCIMAGO: 2.837 - Biomedical Engineering (Q1) - Materials Science (miscellaneous) (Q1) - Industrial and Manufacturing Engineering (Q1) - Engineering (miscellaneous) (Q1)

Financiación: info:eu-repo/grantAgreement/ES/MICINN-AEI/PID2021-127134O-B-I00
Financiación: info:eu-repo/grantAgreement/ES/MICINN/PRE2019-089465
Financiación: info:eu-repo/grantAgreement/ES/MICINN/RTI2018-097191-B-I00

Tipo y forma: Article (Published version)

Área (Departamento): Área Ing. Procesos Fabricación (Dpto. Ingeniería Diseño Fabri.)