Evidence map›Paper›PMID 39288592›Full record

ArticleUltrasonics sonochemistry2024

Ultrasonic field-assisted metal additive manufacturing (U-FAAM): Mechanisms, research and future directions.

Xuekai Li, Wei Wang, Yihong Wu, Donghu Zhou, Huijun Kang, Enyu Guo, Jiehua Li, Zongning Chen, Yanjin Xu, Tongmin Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Ultrasonics sonochemistry, 2024. 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. Review
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

10 authors.

Xuekai LiKey Laboratory of Solidification Control and Digital Preparation Technology (Liaoning Province), School of Materials Science and Engineering, Dalian University of Technology, Dalian 116024, China.
Wei WangAVIC Manufacturing Technology Institute, Beijing 100024, China.
Yihong WuKey Laboratory of Solidification Control and Digital Preparation Technology (Liaoning Province), School of Materials Science and Engineering, Dalian University of Technology, Dalian 116024, China.
Donghu ZhouKey Laboratory of Solidification Control and Digital Preparation Technology (Liaoning Province), School of Materials Science and Engineering, Dalian University of Technology, Dalian 116024, China.
Huijun KangKey Laboratory of Solidification Control and Digital Preparation Technology (Liaoning Province), School of Materials Science and Engineering, Dalian University of Technology, Dalian 116024, China; Ningbo Institute of Dalian University of Technology, Ningbo 315000, China.
Enyu GuoKey Laboratory of Solidification Control and Digital Preparation Technology (Liaoning Province), School of Materials Science and Engineering, Dalian University of Technology, Dalian 116024, China; Ningbo Institute of Dalian University of Technology, Ningbo 315000, China.
Jiehua LiInstitute of Casting Research, Montanuniversität Leoben, Leoben A-8700, Austria.
Zongning ChenKey Laboratory of Solidification Control and Digital Preparation Technology (Liaoning Province), School of Materials Science and Engineering, Dalian University of Technology, Dalian 116024, China; Ningbo Institute of Dalian University of Technology, Ningbo 315000, China. Electronic address: znchen@dlut.edu.cn.
Yanjin XuAVIC Manufacturing Technology Institute, Beijing 100024, China.
Tongmin WangKey Laboratory of Solidification Control and Digital Preparation Technology (Liaoning Province), School of Materials Science and Engineering, Dalian University of Technology, Dalian 116024, China; Ningbo Institute of Dalian University of Technology, Ningbo 315000, China. Electronic address: tmwang@dlut.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metal additive manufacturing (AM) is a disruptive technology that provides unprecedented design freedom and manufacturing flexibility for the forming of complex components. Despite its unparalleled advantages over traditional manufacturing methods, the existence of fatal issues still seriously hinders its large-scale industrial application. Against this backdrop, U-FAAM is emerging as a focus, integrating ultrasonic energy into conventional metal AM processes to harness distinctive advantages. This work offers an up-to-date, specialized review of U-FAAM, articulating the integrated modes, mechanisms, pivotal research achievements, and future development trends in a systematic manner. By synthesizing existing research, it highlights future directions in further optimizing process parameters, expanding material applicability, etc., to advance the industrial application and development of U-FAAM technology.

Indexed as

3D printingMelt pool behaviorMetal additive manufacturingResearch directionsU-FAAM mechanismsUltrasonic field-assisted manufacturing

Identifiers

PMID39288592
PMCPMC11421250

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.