Evidence map›Paper›PMID 36316220›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2022

Quantification of Interdependent Dynamics during Laser Additive Manufacturing Using X-Ray Imaging Informed Multi-Physics and Multiphase Simulation.

Chu Lun Alex Leung, Dawid Luczyniec, Enyu Guo, Sebastian Marussi, Robert C Atwood, Martina Meisnar, Ben Saunders, Peter D Lee

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Chu Lun Alex LeungDepartment of Mechanical Engineering, University College London, Torrington Place, London, WC1E 7JE, UK.ORCID https://orcid.org/0000-0002-4153-7512
Dawid LuczyniecRolls Royce plc, Elton Road Site, North Block, Derby, DE24 8BJ, UK.
Enyu GuoKey Laboratory of Solidification Control and Digital Preparation Technology (Liaoning Province), School of Materials Science and Engineering, Dalian University of Technology, Dalian, 116024, China.
Sebastian MarussiDepartment of Mechanical Engineering, University College London, Torrington Place, London, WC1E 7JE, UK.
Robert C AtwoodDiamond Light Source Ltd, Harwell Science & Innovation Campus, Oxfordshire, OX11 0DE, UK.ORCID https://orcid.org/0000-0001-6708-1085
Martina MeisnarEuropean Space Agency, ESA-RAL Advanced Manufacturing Laboratory, Harwell-Oxford Campus, Fermi Avenue, Didcot, OX110FD, UK.
Ben SaundersRolls Royce plc, Elton Road Site, North Block, Derby, DE24 8BJ, UK.
Peter D LeeDepartment of Mechanical Engineering, University College London, Torrington Place, London, WC1E 7JE, UK.ORCID https://orcid.org/0000-0002-3898-8881

Funding

Data-driven, Reliable, and Effective Additive Manufacturing using multi-BEAM technologies EP/I02249X/1Data-driven, Reliable, and Effective Additive Manufacturing using multi-BEAM technologies EP/M009688/1Data-driven, Reliable, and Effective Additive Manufacturing using multi-BEAM technologies EP/R511638/1Data-driven, Reliable, and Effective Additive Manufacturing using multi-BEAM technologies EP/W037483/1Made Smarter Innovation - Materials Made Smarter Research Centre EP/V061798/1Manufacturing by Design EP/W003333/1MAPP: EPSRC Future Manufacturing Hub in Manufacture using Advanced Powder Processes EP/P006566/1Royal Academy Engineering Emerging Chair CiET1819/10
6 · The paper itself

Abstract

Laser powder bed fusion (LPBF) can produce high-value metallic components for many industries; however, its adoption for safety-critical applications is hampered by the presence of imperfections. The interdependency between imperfections and processing parameters remains unclear. Here, the evolution of porosity and humps during LPBF using X-ray and electron imaging, and a high-fidelity multiphase process simulation, is quantified. The pore and keyhole formation mechanisms are driven by the mixing of high temperatures and high metal vapor concentrations in the keyhole is revealed. The irregular pores are formed via keyhole collapse, pore coalescence, and then pore entrapment by the solidification front. The mixing of the fast-moving vapor plume and molten pool induces a Kelvin-Helmholtz instability at the melt track surface, forming humps. X-ray imaging and a high-fidelity model are used to quantify the pore evolution kinetics, pore size distribution, waviness, surface roughness, and melt volume under single layer conditions. This work provides insights on key criteria that govern the formation of imperfections in LPBF and suggest ways to improve process reliability.

Indexed as

additive manufacturingimperfectionmultiphaseporesimulationXCTX-ray imaging

Identifiers

PMID36316220
PMCPMC9798986

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.