A cloud manufacturing architecture is proposed to offer on-demand services for holistic quality assurance of manufactured components with the aim to detect different kinds of features and potential defects related to the component external geometry and internal material structure. At the physical level to be connected to the cloud service, two non-contact testing procedures are employed: a laser-based reverse engineering method and an ultrasonic non-destructive inspection technique. The cloud server receives the pre-processed data and provides integrated information offering 3D visualization and manipulation of the heterogeneous data into a single interactive user interface to obtain a holistic evaluation of the manufactured component.
Cloud Manufacturing on-demand services for holistic quality assurance of manufactured components / Caggiano, Alessandra; Segreto, Tiziana; Teti, Roberto. - 67(2018), pp. 144-149. (Intervento presentato al convegno 11th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME ’17 tenutosi a Ischia (NA) nel 19-21 Luglio 2017) [10.1016/j.procir.2017.12.191].
Cloud Manufacturing on-demand services for holistic quality assurance of manufactured components
Alessandra Caggiano
;Tiziana Segreto;Roberto Teti
2018
Abstract
A cloud manufacturing architecture is proposed to offer on-demand services for holistic quality assurance of manufactured components with the aim to detect different kinds of features and potential defects related to the component external geometry and internal material structure. At the physical level to be connected to the cloud service, two non-contact testing procedures are employed: a laser-based reverse engineering method and an ultrasonic non-destructive inspection technique. The cloud server receives the pre-processed data and provides integrated information offering 3D visualization and manipulation of the heterogeneous data into a single interactive user interface to obtain a holistic evaluation of the manufactured component.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
