Geometrical characterization of circular multi-layered CMT WAAM specimens by 3D structured light scanning.
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| Title: | Geometrical characterization of circular multi-layered CMT WAAM specimens by 3D structured light scanning. |
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| Authors: | Lettori, Jacopo1 (AUTHOR), Esposto, Cesare1 (AUTHOR), Peruzzini, Margherita2 (AUTHOR), Pellicciari, Marcello3 (AUTHOR), Raffaeli, Roberto3 (AUTHOR) roberto.raffaeli@unimore.it |
| Source: | International Journal of Advanced Manufacturing Technology. Feb2025, Vol. 136 Issue 11, p5305-5334. 30p. |
| Subjects: | Manufacturing processes, Methods engineering, Optical scanners, Production planning, Engineering design |
| Abstract: | To ensure the geometric accuracy of wire arc additive manufacturing (WAAM) components, it is essential to analyze how process parameters influence the weld bead dimensions and shape. This paper presents a formal and repeatable procedure to entirely characterize the geometry of beads by enhanced full-coverage optical scanning with focus on multi-layered thin-walled closed specimens realized by the cold metal transfer (CMT) welding process. A series of circular specimens have been manufactured according to a DOE plan of process parameters, scanned with a GOM fringe projection 3D optical scanner, geometrically processed in the Rhinoceros 3D CAD environment, and analyzed by statistical indices according to the ANOVA approach. Average dimensions, lateral surface waviness, interaction between successive layers, and the torch switch-on/off zone of closed layer paths have been assessed. Numerical correlations between bead sizes and deposition parameters have been established. The obtained results also reveal shape and dimensional variability, highlighting the challenges in controlling geometry accuracy. Finally, process planning guidelines are formulated based on such results. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Advanced Manufacturing Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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