Evidence map›Paper›PMID 41900595›Full record

ArticleMaterials (Basel, Switzerland)2026

Laser Wire Directed Energy Deposition of 5356 Aluminum Alloy: Process Parameter Optimization and Porosity Prediction.

Xiangfei Zhang, Yujia Mei, Huomu Yang, Shouhuan Zhou

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2026. 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

4 authors.

Xiangfei ZhangCollege of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China.
Yujia MeiCollege of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China.
Huomu YangCollege of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China.
Shouhuan ZhouCollege of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Laser wire directed energy deposition (LWDED) has garnered significant attention for the fabrication of large metallic components. However, the complex coupling effects among its process parameters pose challenges for porosity control. Optimizing parameter combinations to effectively minimize porosity is therefore critical to the broader adoption of this technology. In this study, systematic experiments and modeling were conducted to optimize the LWDED process parameters and predict porosity. First, single-factor and orthogonal experiments were performed to evaluate the individual effects of laser power, scanning speed, wire feeding speed, and air pressure on porosity. Subsequently, range analysis and analysis of variance were employed to determine the influence of each parameter and the significance of their interactions. Four machine learning models-SVR, RF, GPR, and XGBoost-were then trained and compared. Among them, the SVR model exhibited the best predictive performance, achieving an R

Indexed as

5356 aluminum alloylaser wire directional energy depositionmachine learningporosity

Identifiers

PMID41900595
PMCPMC13027603

What OpenQuestion holds

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LicenceCC BY
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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.