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Cited by 367

The DOI matches its Crossref record; 222 of the 222 references it cites were found in a registry or an index.

The role of additive manufacturing for biomedical applications: A critical review

Kumar, Rakesh, Kumar, Manoj, Chohan, Jasgurpreet Singh·2021·Journal of Manufacturing Processes

Abstract

Abstract Additive manufacturing (AM) is a digital manufacturing technology, rapidly revolutionizing in the medical sectors for printing of distinct body parts having intrinsic shapes and offering customized solutions to every patient. In the past few decades, AM is used as a versatile and cost-effective method for the manufacturing of geometrically complicated shape in the medical industry. In addition, AM technology is used for the development of products from dental implants to heart valves and joint replacements etc. This is the technology that makes a physical model directly from CAD models by adding materials in layer by layer fashion and offers robust mechanical properties. This review paper aims to consolidate the contribution of various researchers in the area of AM especially focusing the applications in the medical field using various technologies of AM, materials and their mechanical properties, so that this review paper could become the torch bearer for the futuristic researchers working in this area.

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Metadata

Authors
Kumar, R., Kumar, M., & Chohan, J. S.
Venue
Journal of Manufacturing Processes
Publisher
Elsevier BV
Published
2021-04
Volume
64
Pages
828-850
ISSN
1526-6125 (ISSN-L)
OpenAlex
W3132825741
Cited by
367
References
222
FWCI
16.91
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The role of additive manufacturing for biomedical applications: A critical review. https://app.cochat.ai/papers/10.1016/j.jmapro.2021.02.022
The paper
Kumar, R., Kumar, M., & Chohan, J. S. (2021). The role of additive manufacturing for biomedical applications: A critical review. Journal of Manufacturing Processes. https://doi.org/10.1016/j.jmapro.2021.02.022

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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.