Evidence map›Paper›PMID 40594735›Full record

ArticleScientific reports2025

Effect of ultrasonic atomization parameters on AlSi12 aluminum powder characteristics for additive manufacturing.

Andrei Yankin, Hussain Ali Murtaza, Boris Golman, Asma Perveen, Didier Talamona

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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
–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

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

5 authors.

Andrei YankinDepartment of Mechanical & Aerospace Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Astana, Kazakhstan.
Hussain Ali MurtazaDepartment of Chemical and Materials Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Astana, Kazakhstan.
Boris GolmanDepartment of Chemical and Materials Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Astana, Kazakhstan.
Asma PerveenDepartment of Mechanical & Aerospace Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Astana, Kazakhstan.
Didier TalamonaDepartment of Mechanical & Aerospace Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Astana, Kazakhstan. didier.talamona@nu.edu.kz.

Funding

Nazarbayev University, Kazakhstan grant no: 211123CRP1615
6 · The paper itself

Abstract

The adoption of additive manufacturing (AM) has driven extensive research into metal feedstocks, uncovering strong links between powder quality and the performance of printed parts. Poor powder characteristics, inadequate flowability or inconsistent packing, can significantly degrade the mechanical performance of the final 3D-printed components. This study investigates the effects of arc manipulator angle, electrical current, and vibration amplitude on AlSi12 powder quality via ultrasonic atomization (UA). Parameter adjustments significantly influenced particle size distribution, with span variations up to 37.5%. Optimal rheological properties were achieved by increasing the vibration amplitude (from 75 to 80%), decreasing the arc angle (from 5° to -5°), and reducing the current (from 150 A to 140 A). A modified AM suitability factor (AMS) was developed, incorporating logarithmic transformation and custom weighting to mitigate high-uncertainty parameter effects. Results revealed a non-linear relationship between powder suitability and arc angle, with a sharp worsening above 0°. Electrical current had the greatest impact on powder quality, followed by arc angle and vibration amplitude. Benchmarking showed that UA powder achieved suitability factors 21% higher than commercial powder, with improved sphericity compared to the irregular, fused particles of commercial alternatives. These findings underscore the potential of UA to enhance AM part reliability.

Indexed as

Additive manufacturing suitability factorAlSi12 aluminum alloyMetal 3D printingParticle size distributionRheological propertiesUltrasonic atomization

Identifiers

PMID40594735
PMCPMC12216338

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.