Improving the laser powder bed fusion processability of A2618 alloy: Investigation on TiB2 addition strategies via single scan track approach

Processing aluminum alloys by Laser Powder Bed Fusion (L-PBF) is of great interest for components production in various industries; however, their processability is quite challenging due to their susceptibility to solidification cracking. One effective strategy to overcome this problem is the addition of inoculants to modify their solidification mechanism and to prevent crack initiation. In this context, this study focuses on the processability of the A2618 alloy with the addition of TiB 2 as an inoculant using different ex situ strategies: low- and high-energy mechanical mixing and plasma coating respectively. The Single Scan Tracks (SSTs) approach was used to investigate the quality and stability of tracks that greatly influence the quality of printed parts and optimize the process parameters for the three feedstocks. The comparison between the systems enabled the identification of slight differences between powders in terms of the processability window, revealing the influence of the inoculant dispersion method on the processability of the A2618 alloy. Electron Backscatter Diffraction (EBSD) analysis carried out on the SST cross-sections confirmed significant differences between the three powders in terms of grain refinement. In addition to the microstructure refinement and the absence of solidification cracks, the analysis revealed the effectiveness of the plasma coating method which allows for obtaining a uniform and homogeneous distribution of the reinforcement on the aluminum particles’ surface. Bulk samples were then produced to validate the optimization study results: the characterization of the cubic samples revealed a dense (99.9%) and crack-free microstructure, with a homogeneous distribution of the reinforcement phase. • Comparison between ex situ dispersion methods of ceramic reinforcements for powder properties and processability. • Process parameters optimization carried out using the Single Scan Tracks (SSTs) approach. • Confirmation of the effectiveness of TiB 2 as a nucleant for A2618 alloy. • Plasma-coated A2618 powder was revealed to be the most effective in terms of grain refinement.

Authors

Institutions

Publication Details

Journal
Journal of Materials Research and Technology
Published
2025-02-20
DOI
https://doi.org/10.1016/j.jmrt.2025.02.167
Citations
1
Primary Topic
Additive Manufacturing Materials and Processes
Type
article
Field-Weighted Citation Impact
0.71
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improving the laser powder bed fusion processability of A2618 alloy: Investigation on TiB2 addition strategies via single scan track approach

Elisa Padovano, Matteo Vanzetti, Riccardo Casati, Federica Bondioli et al.
1 citations
Journal of Materials Research and Technology
Additive Manufacturing Materials and Processes
0.71
article

Improving the laser powder bed fusion processability of A2618 alloy: Investigation on TiB2 addition strategies via single scan track approach

Elisa Padovano, Matteo Vanzetti, Riccardo Casati, Federica Bondioli, Stefano Felicioni, Michele Rosito, Joel Larsson
article en
1 citations

Abstract

Processing aluminum alloys by Laser Powder Bed Fusion (L-PBF) is of great interest for components production in various industries; however, their processability is quite challenging due to their susceptibility to solidification cracking. One effective strategy to overcome this problem is the addition of inoculants to modify their solidification mechanism and to prevent crack initiation. In this context, this study focuses on the processability of the A2618 alloy with the addition of TiB 2 as an inoculant using different ex situ strategies: low- and high-energy mechanical mixing and plasma coating respectively. The Single Scan Tracks (SSTs) approach was used to investigate the quality and stability of tracks that greatly influence the quality of printed parts and optimize the process parameters for the three feedstocks. The comparison between the systems enabled the identification of slight differences between powders in terms of the processability window, revealing the influence of the inoculant dispersion method on the processability of the A2618 alloy. Electron Backscatter Diffraction (EBSD) analysis carried out on the SST cross-sections confirmed significant differences between the three powders in terms of grain refinement. In addition to the microstructure refinement and the absence of solidification cracks, the analysis revealed the effectiveness of the plasma coating method which allows for obtaining a uniform and homogeneous distribution of the reinforcement on the aluminum particles’ surface. Bulk samples were then produced to validate the optimization study results: the characterization of the cubic samples revealed a dense (99.9%) and crack-free microstructure, with a homogeneous distribution of the reinforcement phase. • Comparison between ex situ dispersion methods of ceramic reinforcements for powder properties and processability. • Process parameters optimization carried out using the Single Scan Tracks (SSTs) approach. • Confirmation of the effectiveness of TiB 2 as a nucleant for A2618 alloy. • Plasma-coated A2618 powder was revealed to be the most effective in terms of grain refinement.

Journal of Materials Research and TechnologyVol. 35
Politecnico di Torino (IT), National Interuniversity Consortium of Materials Science and Technology (IT), European Space Research and Technology Centre (NL), Politecnico di Milano (IT)
Openalex Percentile: Top 36%
Additive Manufacturing Materials and Processes
0.71
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.