Evidence map›Paper›PMID 37687672›Full record

ArticleMaterials (Basel, Switzerland)2023

Investigation of Deformation Behavior of Additively Manufactured AISI 316L Stainless Steel with In Situ Micro-Compression Testing.

Fei Teng, Ching-Heng Shiau, Cheng Sun, Robert C O'Brien, Michael D McMurtrey

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Fei TengIdaho National Laboratory, Idaho Falls, 1955 N Fremont Ave., Idaho Falls, ID 83415, USA.ORCID 0000-0003-3832-9138
Ching-Heng ShiauMicron School of Materials Science & Engineering, Boise State University, 1910 University Drive, Boise, ID 83725, USA.ORCID 0000-0002-4835-5041
Cheng SunIdaho National Laboratory, Idaho Falls, 1955 N Fremont Ave., Idaho Falls, ID 83415, USA.ORCID 0000-0003-4104-8898
Robert C O'BrienIdaho National Laboratory, Idaho Falls, 1955 N Fremont Ave., Idaho Falls, ID 83415, USA.
Michael D McMurtreyIdaho National Laboratory, Idaho Falls, 1955 N Fremont Ave., Idaho Falls, ID 83415, USA.

Funding

Idaho National Laboratory DE-AC07-05ID14517
6 · The paper itself

Abstract

Additive manufacturing techniques are being used more and more to perform the precise fabrication of engineering components with complex geometries. The heterogeneity of additively manufactured microstructures deteriorates the mechanical integrity of products. In this paper, we printed AISI 316L stainless steel using the additive manufacturing technique of laser metal deposition. Both single-phase and dual-phase substructures were formed in the grain interiors. Electron backscatter diffraction and energy-dispersive X-ray spectroscopy indicate that Si, Mo, S, Cr were enriched, while Fe was depleted along the substructure boundaries. In situ micro-compression testing was performed at room temperature along the [001] orientation. The dual-phase substructures exhibited lower yield strength and higher Young's modulus compared with single-phase substructures. Our research provides a fundamental understanding of the relationship between the microstructure and mechanical properties of additively manufactured metallic materials. The results suggest that the uneven heat treatment in the printing process could have negative impacts on the mechanical properties due to elemental segregation.

Indexed as

additive manufacturingAISI 316L stainless steelmicrostructuresmall-scale mechanical properties

Identifiers

PMID37687672
PMCPMC10488655

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.