In this paper a contribution to the set-up and optimization of the fabrication process of thermoplastic-based composites is made. Measurements are carried out of some parameters of interests, related to the regularity of texture. Some measuring techniques are used, all based on a vision system, but different with reference to the processing algorithms of the obtained images. Image processing methods based on artificial intelligence are also used. The analysis can allow to optimize the experimental set-up and the procedure in order to obtain a suitable level of uncertainty for an effective control of the production process.
Vision system for optical quality control of components made by fibre thermoplastic-based composites / D'Emilia, Giulio; Di Ilio, Antoniomaria; Gaspari, Antonella; Natale, Emanuela; Stamopoulos, Antonios G.; Chiominto, Luciano. - ELETTRONICO. - (2021), pp. 9488458.59-9488458.64. (Intervento presentato al convegno 2021 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2021 tenutosi a Virtual (Roma, Italy) nel June 7-9, 2021) [10.1109/MetroInd4.0IoT51437.2021.9488458].
Vision system for optical quality control of components made by fibre thermoplastic-based composites
Antonella Gaspari;
2021-01-01
Abstract
In this paper a contribution to the set-up and optimization of the fabrication process of thermoplastic-based composites is made. Measurements are carried out of some parameters of interests, related to the regularity of texture. Some measuring techniques are used, all based on a vision system, but different with reference to the processing algorithms of the obtained images. Image processing methods based on artificial intelligence are also used. The analysis can allow to optimize the experimental set-up and the procedure in order to obtain a suitable level of uncertainty for an effective control of the production process.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
