Evidence map›Paper›PMID 38398900›Full record

ArticleMicromachines2024

Understanding Melt Pool Behavior of 316L Stainless Steel in Laser Powder Bed Fusion Additive Manufacturing.

Zilong Zhang, Tianyu Zhang, Can Sun, Sivaji Karna, Lang Yuan

Abstract read
In one paragraph

Article in Micromachines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Zilong ZhangDepartment of Mechanical Engineering, University of South Carolina, Columbia, SC 29201, USA.
Tianyu ZhangDepartment of Mechanical Engineering, University of South Carolina, Columbia, SC 29201, USA.ORCID 0000-0002-5046-7392
Can SunDepartment of Mechanical Engineering, University of South Carolina, Columbia, SC 29201, USA.ORCID 0009-0006-0862-2877
Sivaji KarnaDepartment of Mechanical Engineering, University of South Carolina, Columbia, SC 29201, USA.ORCID 0009-0004-8824-169X
Lang YuanDepartment of Mechanical Engineering, University of South Carolina, Columbia, SC 29201, USA.ORCID 0000-0002-6894-5030

Funding

NASA SC-80NSSC21M0148NIST DOC 70NANB23H030
6 · The paper itself

Abstract

In the laser powder bed fusion additive manufacturing process, the quality of fabrications is intricately tied to the laser-matter interaction, specifically the formation of the melt pool. This study experimentally examined the intricacies of melt pool characteristics and surface topography across diverse laser powers and speeds via single-track laser scanning on a bare plate and powder bed for 316L stainless steel. The results reveal that the presence of a powder layer amplifies melt pool instability and worsens irregularities due to increased laser absorption and the introduction of uneven mass from the powder. To provide a comprehensive understanding of melt pool dynamics, a high-fidelity computational model encompassing fluid dynamics, heat transfer, vaporization, and solidification was developed. It was validated against the measured melt pool dimensions and morphology, effectively predicting conduction and keyholing modes with irregular surface features. Particularly, the model explained the forming mechanisms of a defective morphology, termed swell-undercut, at high power and speed conditions, detailing the roles of recoil pressure and liquid refilling. As an application, multiple-track simulations replicate the surface features on cubic samples under two distinct process conditions, showcasing the potential of the laser-matter interaction model for process optimization.

Indexed as

additive manufacturingfluid dynamicslaser powder bed fusionmelt pool instabilitysurface topography

Identifiers

PMID38398900
PMCPMC10890519

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.