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Cited by 469

The DOI matches its Crossref record; 159 of the 159 references it cites were found in a registry or an index.

Additive Manufacturing of Polymer Materials: Progress, Promise and Challenges

Open access
Saleh Alghamdi, Saad, John, Sabu, Roy Choudhury, Namita, Dutta, Naba K.·2021·Polymers

Abstract

The use of additive manufacturing (AM) has moved well beyond prototyping and has been established as a highly versatile manufacturing method with demonstrated potential to completely transform traditional manufacturing in the future. In this paper, a comprehensive review and critical analyses of the recent advances and achievements in the field of different AM processes for polymers, their composites and nanocomposites, elastomers and multi materials, shape memory polymers and thermo-responsive materials are presented. Moreover, their applications in different fields such as bio-medical, electronics, textiles, and aerospace industries are also discussed. We conclude the article with an account of further research needs and future perspectives of AM process with polymeric materials.

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Crossref · 10.3390/polym13050753

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Metadata

Authors
Saleh Alghamdi, S., John, S., Roy Choudhury, N., & Dutta, N. K.
Venue
Polymers
Publisher
MDPI AG
Published
2021-02-28
Volume
13
Issue
5
Pages
753
ISSN
2073-4360 (ISSN-L)
OpenAlex
W3133877934
Cited by
469
References
159
FWCI
21.24
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Additive Manufacturing of Polymer Materials: Progress, Promise and Challenges. https://app.cochat.ai/papers/10.3390/polym13050753
The paper
Saleh Alghamdi, S., John, S., Roy Choudhury, N., & Dutta, N. K. (2021). Additive Manufacturing of Polymer Materials: Progress, Promise and Challenges. Polymers. https://doi.org/10.3390/polym13050753

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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.