Evidence map›Paper›PMID 38732776›Full record

ReviewSensors (Basel, Switzerland)2024

Additive Manufacturing: A Comprehensive Review.

Longfei Zhou, Jenna Miller, Jeremiah Vezza, Maksim Mayster, Muhammad Raffay, Quentin Justice, Zainab Al Tamimi, Gavyn Hansotte, Lavanya Devi Sunkara, Jessica Bernat

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing 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

71 citing papers in PubMed.

  1. Review
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11 more citing papers are in PubMed but not listed here.

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.

Longfei ZhouDepartment of Biomedical, Industrial and Systems Engineering, School of Engineering and Computing, College of Engineering and Business, Gannon University, Erie, PA 16541, USA.ORCID 0000-0001-5322-8429
Jenna MillerDepartment of Biomedical, Industrial and Systems Engineering, School of Engineering and Computing, College of Engineering and Business, Gannon University, Erie, PA 16541, USA.
Jeremiah VezzaDepartment of Biomedical, Industrial and Systems Engineering, School of Engineering and Computing, College of Engineering and Business, Gannon University, Erie, PA 16541, USA.
Maksim MaysterDepartment of Biomedical, Industrial and Systems Engineering, School of Engineering and Computing, College of Engineering and Business, Gannon University, Erie, PA 16541, USA.
Muhammad RaffayDepartment of Biomedical, Industrial and Systems Engineering, School of Engineering and Computing, College of Engineering and Business, Gannon University, Erie, PA 16541, USA.
Quentin JusticeDepartment of Biomedical, Industrial and Systems Engineering, School of Engineering and Computing, College of Engineering and Business, Gannon University, Erie, PA 16541, USA.
Zainab Al TamimiDepartment of Biomedical, Industrial and Systems Engineering, School of Engineering and Computing, College of Engineering and Business, Gannon University, Erie, PA 16541, USA.
Gavyn HansotteDepartment of Biomedical, Industrial and Systems Engineering, School of Engineering and Computing, College of Engineering and Business, Gannon University, Erie, PA 16541, USA.
Lavanya Devi SunkaraDepartment of Biomedical, Industrial and Systems Engineering, School of Engineering and Computing, College of Engineering and Business, Gannon University, Erie, PA 16541, USA.
Jessica BernatDepartment of Biomedical, Industrial and Systems Engineering, School of Engineering and Computing, College of Engineering and Business, Gannon University, Erie, PA 16541, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Additive manufacturing has revolutionized manufacturing across a spectrum of industries by enabling the production of complex geometries with unparalleled customization and reduced waste. Beginning as a rapid prototyping tool, additive manufacturing has matured into a comprehensive manufacturing solution, embracing a wide range of materials, such as polymers, metals, ceramics, and composites. This paper delves into the workflow of additive manufacturing, encompassing design, modeling, slicing, printing, and post-processing. Various additive manufacturing technologies are explored, including material extrusion, VAT polymerization, material jetting, binder jetting, selective laser sintering, selective laser melting, direct metal laser sintering, electron beam melting, multi-jet fusion, direct energy deposition, carbon fiber reinforced, laminated object manufacturing, and more, discussing their principles, advantages, disadvantages, material compatibilities, applications, and developing trends. Additionally, the future of additive manufacturing is projected, highlighting potential advancements in 3D bioprinting, 3D food printing, large-scale 3D printing, 4D printing, and AI-based additive manufacturing. This comprehensive survey aims to underscore the transformative impact of additive manufacturing on global manufacturing, emphasizing ongoing challenges and the promising horizon of innovations that could further elevate its role in the manufacturing revolution.

Indexed as

3D printingadditive manufacturingbinder jettingCADfused deposition modelingmaterial extrusionmaterial jettingpower bed fusionreviewVAT polymerization

Identifiers

PMID38732776
PMCPMC11085389

What OpenQuestion holds

Textmetadata
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.