Evidence map›Paper›PMID 37444949›Full record

ReviewMaterials (Basel, Switzerland)2023

Additive Manufacturing of Advanced Ceramics Using Preceramic Polymers.

Jinchen Han, Chang Liu, Robyn L Bradford-Vialva, Donald A Klosterman, Li Cao

Abstract readReview
In one paragraph

Review in Materials (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

5 authors.

Jinchen HanDepartment of Chemical and Materials Engineering, University of Dayton, Dayton, OH 45469, USA.ORCID 0000-0002-6268-0609
Chang LiuTechnical Center, Nippon Paint Automotive Americas, Inc., Cleveland, OH 44102, USA.ORCID 0000-0002-6618-8144
Robyn L Bradford-VialvaAir Force Research Laboratory (AFRL/RXMD), Manufacturing & Industrial Technologies Division, Wright-Patterson AFB, Dayton, OH 45433, USA.
Donald A KlostermanDepartment of Chemical and Materials Engineering, University of Dayton, Dayton, OH 45469, USA.ORCID 0000-0002-4444-3810
Li CaoDepartment of Chemical and Materials Engineering, University of Dayton, Dayton, OH 45469, USA.

Funding

the University of Dayton Startup fund
6 · The paper itself

Abstract

Ceramic materials are used in various industrial applications, as they possess exceptional physical, chemical, thermal, mechanical, electrical, magnetic, and optical properties. Ceramic structural components, especially those with highly complex structures and shapes, are difficult to fabricate with conventional methods, such as sintering and hot isostatic pressing (HIP). The use of preceramic polymers has many advantages, such as excellent processibility, easy shape change, and tailorable composition for fabricating high-performance ceramic components. Additive manufacturing (AM) is an evolving manufacturing technique that can be used to construct complex and intricate structural components. Integrating polymer-derived ceramics and AM techniques has drawn significant attention, as it overcomes the limitations and challenges of conventional fabrication approaches. This review discusses the current research that used AM technologies to fabricate ceramic articles from preceramic feedstock materials, and it demonstrates that AM processes are effective and versatile approaches for fabricating ceramic components. The future of producing ceramics using preceramic feedstock materials for AM processes is also discussed at the end.

Indexed as

3D printingadditive manufacturingceramic materialfeedstock materialpreceramic polymer

Identifiers

PMID37444949
PMCPMC10342579

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.