Evidence map›Paper›PMID 36363190›Full record

ReviewMaterials (Basel, Switzerland)2022

Online Monitoring Technology of Metal Powder Bed Fusion Processes: A Review.

Zhuo-Jun Hou, Qing Wang, Chen-Guang Zhao, Jun Zheng, Ju-Mei Tian, Xiao-Hong Ge, Yuan-Gang Liu

Abstract readReview
In one paragraph

Review in Materials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Emerging Materials for Additive Manufacturing.Materials (Basel, Switzerland) · 2022
    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

7 authors.

Zhuo-Jun HouSchool of Materials Science and Engineering, Xiamen University of Technology, Xiamen 361021, China.
Qing WangSchool of Materials Science and Engineering, Xiamen University of Technology, Xiamen 361021, China.
Chen-Guang ZhaoSchool of Materials Science and Engineering, Xiamen University of Technology, Xiamen 361021, China.
Jun ZhengSchool of Materials Science and Engineering, Xiamen University of Technology, Xiamen 361021, China.
Ju-Mei TianEngineering Research Center of Fujian University for Stomatological Biomaterials, Xiamen Medical College, Xiamen 361023, China.
Xiao-Hong GeSchool of Materials Science and Engineering, Xiamen University of Technology, Xiamen 361021, China.
Yuan-Gang LiuCollege of Chemical Engineering, Huaqiao University, Xiamen 361021, China.

Funding

Engineering Research Center of Fujian University for Stomatological Biomaterials (Xiamen Medical College) No. XMMC-KQ202101
6 · The paper itself

Abstract

Metal powder bed fusion (PBF) is an advanced metal additive manufacturing (AM) technology. Compared with traditional manufacturing techniques, PBF has a higher degree of design freedom. Currently, although PBF has received extensive attention in fields with high-quality standards such as aerospace and automotive, there are some disadvantages, namely poor process quality and insufficient stability, which make it difficult to apply the technology to the manufacture of critical components. In order to surmount these limitations, it is necessary to monitor the process. Online monitoring technology can detect defects in time and provide certain feedback control, so it can greatly enhance the stability of the process, thereby ensuring its quality of the process. This paper presents the current status of online monitoring technology of the metal PBF process from the aspects of powder recoating monitoring, powder bed inspection, building process monitoring, and melt layer detection. Some of the current limitations and future trends are then highlighted. The combination of these four-part monitoring methods can make the quality of PBF parts highly assured. We unanimously believe that this article can be helpful for future research on PBF process monitoring.

Indexed as

additive manufacturingelectron beam meltingonline monitoringpowder bed fusionselective laser melting

Identifiers

PMID36363190
PMCPMC9656737

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.