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Technologies 2017, 5(2), 29;

Monitoring Approach to Evaluate the Performances of a New Deposition Nozzle Solution for DED Systems

SUPSI, ISTePS-Institute of Systems and Technologies for the Sustainable Production, Galleria 2, Manno (6928), Switzerland
IRIS S.r.l., Via Papa Giovanni Paolo II, 26, 10043 Orbassano, TO, Italy
Department of Applied Science and Technology, Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129 Torino, Italy
Author to whom correspondence should be addressed.
Academic Editors: Salvatore Brischetto, Paolo Maggiore and Carlo Giovanni Ferro
Received: 18 April 2017 / Revised: 19 May 2017 / Accepted: 25 May 2017 / Published: 31 May 2017
(This article belongs to the Special Issue Additive Manufacturing Technologies and Applications)
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Abstract: In order to improve the process efficiency of a direct energy deposition (DED) system, closed loop control systems can be considered for monitoring the deposition and melting processes and adjusting the process parameters in real-time. In this paper, the monitoring of a new deposition nozzle solution for DED systems is approached through a simulation-experimental comparison. The shape of the powder flow at the exit of the nozzle outlet and the spread of the powder particles on the deposition plane are analyzed through 2D images of the powder flow obtained by monitoring the powder depositions with a high-speed camera. These experimental results are then compared with data obtained through a Computational Fluid Dynamics model. Preliminary tests are carried out by varying powder, carrier, and shielding mass flow, demonstrating that the last parameter has a significant influence on the powder distribution and powder flow geometry. View Full-Text
Keywords: direct deposition machine; scanner systems; metallic additive manufacturing direct deposition machine; scanner systems; metallic additive manufacturing

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Mazzucato, F.; Tusacciu, S.; Lai, M.; Biamino, S.; Lombardi, M.; Valente, A. Monitoring Approach to Evaluate the Performances of a New Deposition Nozzle Solution for DED Systems. Technologies 2017, 5, 29.

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