Robinson, John, Arafat, Abul, Vance, Aaron, Arjunan, Arun and Baroutaji, Ahmad (2023). Melt Pool Monitoring and X-ray Computed Tomography-Informed Characterisation of Laser Powder Bed Additively Manufactured Silver–Diamond Composites. Machines, 11 (12),
Abstract
In this study, silver (Ag) and silver–diamond (Ag-D) composites with varying diamond (D) content are fabricated using laser powder bed fusion (L-PBF) additive manufacturing (AM). The L-PBF process parameters and inert gas flow rate are optimised to control the build environment and the laser energy density at the powder bed to enable the manufacture of Ag-D composites with 0.1%, 0.2% and 0.3% D content. The Ag and D powder morphology are characterised using scanning electron microscopy (SEM). Ag, Ag-D0.1%, Ag-D0.2% and Ag-D0.3% tensile samples are manufactured to assess the resultant density and tensile strength. In-process EOSTATE melt pool monitoring technology is utilised as a comparative tool to assess the density variations. This technique uses in-process melt pool detection to identify variations in the melt pool characteristics and potential defects and/or density deviations. The resultant morphology and associated defect distribution for each of the samples are characterised and reported using X-ray computed tomography (xCT) and 3D visualisation techniques. Young’s modulus, the failure strain and the ultimate tensile strength of the L-PBF Ag and Ag-D are reported. The melt pool monitoring results revealed in-process variations in the build direction, which was confirmed through xCT 3D visualisations. Additionally, the xCT analysis displayed density variations for all the Ag-D composites manufactured. The tensile results revealed that increasing the diamond content reduced Young’s modulus and the ultimate tensile strength.
Publication DOI: | https://doi.org/10.3390/machines11121037 |
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Divisions: | College of Engineering & Physical Sciences > School of Engineering and Technology College of Engineering & Physical Sciences |
Funding Information: | Innovate UK Knowledge Transfer Partnership KTP013117 (University of Wolverhampton/AceOn). |
Additional Information: | © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). |
Uncontrolled Keywords: | X-ray computed tomography,additive manufacturing,computed tomography,diamond,laser powder bed fusion,melt pool monitoring,silver,Computer Science (miscellaneous),Mechanical Engineering,Control and Optimization,Electrical and Electronic Engineering,Control and Systems Engineering,Industrial and Manufacturing Engineering |
Publication ISSN: | 2075-1702 |
Last Modified: | 16 Dec 2024 17:22 |
Date Deposited: | 01 Dec 2023 10:46 |
Full Text Link: | |
Related URLs: |
https://www.mdp ... 1702/11/12/1037
(Publisher URL) http://www.scop ... tnerID=8YFLogxK (Scopus URL) |
PURE Output Type: | Article |
Published Date: | 2023-11-21 |
Accepted Date: | 2023-11-18 |
Authors: |
Robinson, John
Arafat, Abul Vance, Aaron Arjunan, Arun Baroutaji, Ahmad ( 0000-0002-4717-1216) |