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A model to predict deposition parameters for directed energy deposition: part I theory and modeling
- Source :
- Rapid Prototyping Journal. 25:998-1006
- Publication Year :
- 2019
- Publisher :
- Emerald, 2019.
-
Abstract
- Purpose Directed energy deposition (DED) with laser powder-feed is an additive manufacturing process that is used to produce metallic components by simultaneously providing a supply of energy from a laser and mass from a powder aerosol. The breadth of alloys used in DED is currently limited to a very small range as compared to wrought or cast alloys. The purpose of this paper is to develop the new alloys for DED is limited because current models to predict operational processing parameters are computationally expensive and trial-and-error based experiments are both expensive and time-consuming. Design/methodology/approach In this research, an agile DED model is presented to predict the geometry produced by a single layer deposit. Findings The utility of the model is demonstrated for type 304 L stainless steel and the significance of the predicted deposition regimes is discussed. The proposed model incorporates concepts from heat transfer, welding and laser cladding; and integrates them with experimental fits and physical models that are relevant to DED. Originality/value The utility of the model is demonstrated for type 304 L stainless steel and the significance of the predicted deposition regimes is discussed.
- Subjects :
- 010302 applied physics
Materials science
Physical model
Process modeling
Mechanical Engineering
Nuclear engineering
02 engineering and technology
Welding
021001 nanoscience & nanotechnology
Laser
01 natural sciences
Industrial and Manufacturing Engineering
law.invention
law
0103 physical sciences
Small range
Heat transfer
Deposition (phase transition)
0210 nano-technology
Energy (signal processing)
Subjects
Details
- ISSN :
- 13552546
- Volume :
- 25
- Database :
- OpenAIRE
- Journal :
- Rapid Prototyping Journal
- Accession number :
- edsair.doi...........8cc362e1fdad8500def67db1448f0d73
- Full Text :
- https://doi.org/10.1108/rpj-08-2018-0221