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Cited by 384

The DOI matches its Crossref record; 185 of the 185 references it cites were found in a registry or an index.

3D printing technology; methods, biomedical applications, future opportunities and trends

Open access
Bozkurt, Yahya, Karayel, Elif·2021·Journal of Materials Research and Technology

Abstract

3D printer technology is one of the innovations brought by the industrial age. It has been in our lives for many years. It is rapidly developing and used in many sectors like aviation and defence industry. This miracle manufacturing method has been frequently preferred for medical applications in recent years. In this study, 3D printer technology is introduced, various method of 3D printing are mentioned and the use of this technology in biomedical applications is referred. The use of 3D printing in surgery, pharmaceutical industry, disease modelling, development of customized implants and prostheses, organ printing, vet medicine and tissue engineering applications have been explained and this new method compared with traditional methods that used in the biomedical field. In addition, this study includes future opportunities that are expected to become widespread and developed in the future.

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Crossref · 10.1016/j.jmrt.2021.07.050

Cites

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Metadata

Authors
Bozkurt, Y., & Karayel, E.
Venue
Journal of Materials Research and Technology
Publisher
Elsevier BV
Published
2021-09
Volume
14
Pages
1430-1450
ISSN
  • 2214-0697 (ISSN-L)
  • 2238-7854
OpenAlex
W3184571572
Cited by
384
References
185
FWCI
16.80
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: 3D printing technology; methods, biomedical applications, future opportunities and trends. https://app.cochat.ai/papers/10.1016/j.jmrt.2021.07.050
The paper
Bozkurt, Y., & Karayel, E. (2021). 3D printing technology; methods, biomedical applications, future opportunities and trends. Journal of Materials Research and Technology. https://doi.org/10.1016/j.jmrt.2021.07.050

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.