Evidence map›Paper›PMID 35457856›Full record

ReviewMicromachines2022

A Survey of the Influence of Process Parameters on Mechanical Properties of Fused Deposition Modeling Parts.

Ge Gao, Fan Xu, Jiangmin Xu, Guanghai Tang, Zhenyu Liu

Abstract readReview
In one paragraph

Review in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Optimization of 3D Printing Parameters for the Production of Mouthguards.Dental traumatology : official publication of International Association for Dental Traumatology · 2026
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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.

Ge GaoCollege of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212100, China.ORCID 0000-0002-0071-5837
Fan XuCollege of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212100, China.
Jiangmin XuCollege of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212100, China.
Guanghai TangCollege of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212100, China.
Zhenyu LiuChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the availability of materials and low cost for production, fused deposition modeling is becoming the most widely used additive manufacturing (AM) technology. However, the reasonable choice of process parameters for FDM is a significant task that directly affects the performance of the printed part. Therefore, it is necessary to investigate the influences of various process parameters on the quality characteristics of the components. The objectives of this study are to thoroughly review the current state of research that characterizes, estimates the effects of process parameters on mechanical properties, and summarizes the conclusions of existing works. In addition, some general issues of the presented research are summarized, and the need for future development is also emphasized. Finally, the research proposes several areas that deserve further study in this field.

Indexed as

additive manufacturingfused deposition modelingmechanical propertiesprocess parameters

Identifiers

PMID35457856
PMCPMC9029895

What OpenQuestion holds

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LicenceCC BY
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.