Evidence map›Paper›PMID 38116219›Full record

Article3D printing and additive manufacturing2023

Microstructures and Electrochemical Dissolution Characteristics of Additive-Manufactured Stainless Steel 304 on Different Sections at Low Current Density.

Chenhao Zhao, Ningsong Qu, Xiaochuan Tang

Abstract read
In one paragraph

Article in 3D printing and additive manufacturing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Chenhao ZhaoCollege of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China.
Ningsong QuCollege of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China.ORCID https://orcid.org/0000-0002-0607-0136
Xiaochuan TangCollege of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Additive manufacturing (AM) is a burgeoning technology for fabricating complex components with high efficiency and low material waste. However, the surface of AM parts is rough owing to partially melted powders and severe surface fluctuation. Electrochemical machining (ECM) is a suitable postprocessing method to finish the surface of the AM parts, and the low current density is usually employed. Our study illustrates the electrochemical dissolution characteristics of the horizontal and vertical sections of the AM SUS 304 component under a low current density and the electrochemical finishing process to obtain smooth surfaces. Linear and fan-shaped melt pools are observed on the horizontal and vertical sections, respectively. Moreover, the melt pool boundaries are vulnerable to dissolution and separate the hollows, basins, and swellings formed after electrochemical dissolution. The two sections display similar current efficiency and polarization because of the single austenitic phase and the identical and uniform elemental content distribution. The top and side surfaces of the AM sample could be efficiently smoothened via ECM by eliminating the partially melted powders and significantly reducing the surface roughness. The numerous band humps make the top surface of the AM sample difficult to smoothen compared with the side surface under the point effect of the electric field.

Indexed as

additive manufacturingelectrochemical finishingelectrochemical machininglow current density

Identifiers

PMID38116219
PMCPMC10726201

What OpenQuestion holds

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Registered trials

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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.