scholarly journals Influence of laser-directed energy deposition process parameters and thermal post-treatments on Nb-rich secondary phases in single-track Alloy 718 specimens

2021 ◽  
Vol 33 (2) ◽  
pp. 022024
Author(s):  
Suhas Sreekanth ◽  
Kjell Hurtig ◽  
Shrikant Joshi ◽  
Joel Andersson
Keyword(s):  
Process Parameters ◽  
Energy Deposition ◽  
Deposition Process ◽  
Alloy 718 ◽  
Single Track ◽  
Secondary Phases ◽  
Directed Energy Deposition ◽  
Directed Energy

Optimisation of process parameters for deposition of colmonoy using directed energy deposition process

2020 ◽  
Vol 26 ◽  
pp. 1108-1112 ◽  
Author(s):  
B.N. Manjunath ◽  
A.R. Vinod ◽  
K. Abhinav ◽  
S.K. Verma ◽  
M. Ravi Sankar
Keyword(s):  
Process Parameters ◽  
Energy Deposition ◽  
Deposition Process ◽  
Directed Energy Deposition ◽  
Directed Energy

Tailoring alloy 718 laser directed energy deposition process strategies for repair applications

2022 ◽  
Vol 34 (1) ◽  
pp. 012018
Author(s):  
Cory D. Jamieson ◽  
Marissa C. Brennan ◽  
Todd J. Spurgeon ◽  
Stephen W. Brown ◽  
Jayme S. Keist ◽  
...  
Keyword(s):  
Energy Deposition ◽  
Deposition Process ◽  
Alloy 718 ◽  
Directed Energy Deposition ◽  
Directed Energy

scholarly journals Strategy Development for the Manufacturing of Multilayered Structures of Variable Thickness of Ni-Based Alloy 718 by Powder-Fed Directed Energy Deposition

Metals ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. 1280
Author(s):  
Pedro Ramiro ◽  
Mikel Ortiz ◽  
Amaia Alberdi ◽  
Aitzol Lamikiz
Keyword(s):  
Variable Thickness ◽  
Energy Deposition ◽  
Deposition Process ◽  
Strategy Development ◽  
Main Process ◽  
Alloy 718 ◽  
Manufacturing Strategy ◽  
Multilayered Structures ◽  
Directed Energy Deposition ◽  
Directed Energy

In this study, a manufacturing strategy, and guidelines for inclined and multilayered structures of variable thickness are presented, which are based on the results of an own-developed geometrical model that obtains both the coating thickness and dilution. This model is developed for the powder-fed directed energy deposition process (DED) and it only uses the DED single-track cladding characteristics (height, width, area, and dilution depth), the overlap percentage, and the laser head tilting-angle as inputs. As outputs, it calculates both the cladding geometry and the dilution area of the coating. This model for the Ni-based alloy 718 was improved, based on previous studies of the single clad working both vertically and at an inclined angle, adding the equations of the single clad characteristics with respect to the main process parameters. The strategy proposed in this paper for multilayered cladding consisted of both adding an extra clad at the edges of the layer and using a variable value of the overlap percentage between clads for geometric adaptations. With this strategy, the material deposition is more accurate than otherwise, and it shows stable growth. Manufacturing a multilayered wall of wider thicknesses at higher heights was utilized to validate the strategy.

scholarly journals Selection of effective manufacturing conditions for directed energy deposition process using machine learning methods

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jong-Sup Lim ◽  
Won-Jung Oh ◽  
Choon-Man Lee ◽  
Dong-Hyeon Kim
Keyword(s):  
Process Parameters ◽  
Energy Deposition ◽  
Classification Models ◽  
Single Track ◽  
Surface Color ◽  
Directed Energy Deposition ◽  
Color Data ◽  
Directed Energy ◽  
Multi Classification ◽  
Validation Experiments

AbstractIn the directed energy deposition (DED) process, significant empirical testing is required to select the optimal process parameters. In this study, single-track experiments were conducted using laser power and scan speed as parameters in the DED process for titanium alloys. The results of the experiment confirmed that the deposited surface color appeared differently depending on the process parameters. Cross-sectional view, hardness, microstructure, and component analyses were performed according to the color data, and a color suitable for additive manufacturing was selected. Random forest (RF) and support vector machine multi-classification models were constructed by collecting surface color data from a titanium alloy deposited on a single track; the accuracies of the multi-classification models were compared. Validation experiments were performed under conditions that each model predicted differently. According to the results of the validation experiments, the RF multi-classification model was the most accurate.

scholarly journals Correction to: Characterization and Optimization of Process Parameters for Directed Energy Deposition Powder-Fed Laser System

2021 ◽  
Author(s):  
Daniel Andres Rojas Perilla ◽  
Johan Grass Nuñez ◽  
German Alberto Barragan De Los Rios ◽  
Fabio Edson Mariani ◽  
Reginaldo Teixeira Coelho
Keyword(s):  
Process Parameters ◽  
Energy Deposition ◽  
Laser System ◽  
Directed Energy Deposition ◽  
Optimization Of Process Parameters ◽  
Directed Energy

scholarly journals Influence of High-Productivity Process Parameters on the Surface Quality and Residual Stress State of AISI 316L Components Produced by Directed Energy Deposition

2021 ◽  
Author(s):  
Gabriele Piscopo ◽  
Alessandro Salmi ◽  
Eleonora Atzeni
Keyword(s):  
Surface Roughness ◽  
Residual Stresses ◽  
Surface Quality ◽  
Process Parameters ◽  
Energy Deposition ◽  
Industrial Applications ◽  
High Productivity ◽  
Directed Energy Deposition ◽  
Productivity Process ◽  
Directed Energy

AbstractThe production of large components is one of the most powerful applications of laser powder-directed energy deposition (LP-DED) processes. High productivity could be achieved, when focusing on industrial applications, by selecting the proper process parameters. However, it is of crucial importance to understand the strategies that are necessary to increase productivity while maintaining the overall part quality and minimizing the need for post-processing. In this paper, an analysis of the dimensional deviations, surface roughness and subsurface residual stresses of samples produced by LP-DED is described as a function of the applied energy input. The aim of this work is to analyze the effects of high-productivity process parameters on the surface quality and the mechanical characteristics of the samples. The obtained results show that the analyzed process parameters affect the dimensional deviations and the residual stresses, but have a very little influence on surface roughness, which is instead dominated by the presence of unmelted particles.

How the nozzle position affects the geometry of the melt pool in directed energy deposition process

2019 ◽  
Vol 62 (4) ◽  
pp. 213-217 ◽  
Author(s):  
Abdollah Saboori ◽  
Sara Biamino ◽  
Mariangela Lombardi ◽  
Simona Tusacciu ◽  
Mattia Busatto ◽  
...  
Keyword(s):  
Energy Deposition ◽  
Deposition Process ◽  
Melt Pool ◽  
Directed Energy Deposition ◽  
Nozzle Position ◽  
Directed Energy
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