University of Padova

Local evaluation of metal laser powder bed fusion layer-related characteristics using a metrological XCT-based methodology

Improving X-ray CT porosity analysis towards enhanced in-situ monitoring and real-time defect prediction in metal laser powder bed fusion

Artificial intelligence;Defect;Metrology;Selective laser melting (SLM)

Accurate comparison of optical and X-ray computed tomography surface texture measurements on as-built additive manufactured test specimens to improve the accuracy of fatigue life predictions

Alignment;3D printing;Metrology;Surface

Development of a multi-configuration support for the comparison of X-ray computed tomography and optical profilometry surface texture measurements

Metrology;Surface

Investigation of the filtering effect of virtual image correlation methods in the context of ISO standards

3D printing;Identification;Metrology

Improving surface and porosity analyses of laser powder bed fusion parts through CT-based three-dimensional metal powder characterization

Comparison of X-ray computed tomography and conventional methods for the geometrical characterization of metal powder for additive manufacturing

Influence of magnification factor and focal spot size on measurement errors of X-ray computed tomography systems with known geometrical misalignments

Dimensional,Geometry,Metrology,X-ray

Analysis of metal powder geometrical characteristics influencing the quality of additively manufactured parts

Evaluation of defects in laser powder bed fusion metal parts via in-process optical measurements and post-process X-ray computed tomography

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