1. Analytical modeling and experimental validation of powder stream distribution during direct energy deposition
- Author
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Dongping Du, Weilong Cong, Zhichao Liu, Shitong Peng, Hoyeol Kim, and Hong-Chao Zhang
- Subjects
0209 industrial biotechnology ,Materials science ,Manufacturing process ,Nozzle ,Biomedical Engineering ,02 engineering and technology ,Experimental validation ,Mechanics ,021001 nanoscience & nanotechnology ,Industrial and Manufacturing Engineering ,Volumetric flow rate ,020901 industrial engineering & automation ,Distribution (mathematics) ,Deposition (phase transition) ,General Materials Science ,Particle size ,0210 nano-technology ,Engineering (miscellaneous) ,Energy (signal processing) - Abstract
As an important factor during direct energy deposition (DED) additive manufacturing process, powder stream distribution will not only affect the deposition rate, but also the powder-gas and power-powder interactions, and thus the consequent quality and property of the fabricated part. This paper created an analytical model to illustrate the powder stream distribution under the four-jet nozzles in the DED. To validate the proposed model, weight measurement method was used to track the powder stream distributions at different positions under the nozzle. Additionally, the effects of the input variables, including powder flow rate, gas flow rate and particle size, on the powder stream distribution were also analyzed. The results suggest a relatively good agreement between the modelling and experimental measurements. At the end, the powder deposition efficiency (PDE) was estimated based on the simulation results.
- Published
- 2019
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