eprintid: 10174552
rev_number: 7
eprint_status: archive
userid: 699
dir: disk0/10/17/45/52
datestamp: 2023-08-03 16:57:15
lastmod: 2023-08-03 16:57:15
status_changed: 2023-08-03 16:57:15
type: article
metadata_visibility: show
sword_depositor: 699
creators_name: Notley, SV
creators_name: Chen, Y
creators_name: Thacker, NA
creators_name: Lee, PD
creators_name: Panoutsos, G
title: Synchrotron imaging derived relationship between process parameters and build quality for directed energy deposition additively manufactured
ispublished: pub
divisions: UCL
divisions: B04
divisions: C05
divisions: F45
keywords: Laser additive manufacturing; Directed energy deposition; Neural networks; Meltpool geometry; In-situ x-ray imaging
note: Copyright © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
abstract: Laser additive manufacturing is transforming several industrial sectors, especially the directed energy deposition process. A key challenge in the widespread uptake of this emerging technology is the formation of undesirable microstructural features such as pores, cracks, and large epitaxial grains. The trial and error approach to establish the relationship between process parameters and material properties is problematic due to the transient nature of the process and the number of parameters involved. In this work, the relationship between process parameters, melt pool geometry and quality of build measures, using directed energy deposition additive manufacturing for IN718, is quantified using neural networks as generalised regressors in a statistically robust manner. The data was acquired using in-situ synchrotron x-ray imaging providing unique and accurate measurements for our analysis. An analysis of the variations across repeated measurements show heteroscedastic error characteristics that are accounted for using a principled nonlinear data transformation method. The results of the analysis show that surface roughness correlates with melt pool geometry while the track height directly correlates with process parameters indicating a potential to directly control efficiency and layer thickness while independently minimising surface roughness.
date: 2023-07
date_type: published
publisher: Elsevier BV
official_url: https://doi.org/10.1016/j.addlet.2023.100137
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 2042214
doi: 10.1016/j.addlet.2023.100137
lyricists_name: Lee, Peter
lyricists_id: PLEEX57
actors_name: Flynn, Bernadette
actors_id: BFFLY94
actors_role: owner
full_text_status: public
publication: Additive Manufacturing Letters
volume: 6
article_number: 100137
issn: 2772-3690
citation:        Notley, SV;    Chen, Y;    Thacker, NA;    Lee, PD;    Panoutsos, G;      (2023)    Synchrotron imaging derived relationship between process parameters and build quality for directed energy deposition additively manufactured.                   Additive Manufacturing Letters , 6     , Article 100137.  10.1016/j.addlet.2023.100137 <https://doi.org/10.1016/j.addlet.2023.100137>.       Green open access   
 
document_url: https://discovery-pp.ucl.ac.uk/id/eprint/10174552/1/1-s2.0-S277236902300018X-main.pdf