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Cited by 220

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Comprehensive study of recycling of thermosetting polymer composites – Driving force, challenges and methods

Utekar, Shubham, V K, Suriya, More, Neha, Rao, Adarsh·2021·Composites Part B: Engineering

Abstract

Abstract The thermosetting polymer composites are considered to be a revolutionary material due to their superior properties and versatility in application. The growth extent in the manufacturing and rigorous usage of polymer composites raised the environmental concerns due to the disposal constraints. This article discusses the various methods used for recycling the thermosetting polymer composites. The term “recycling” has been stressed in most of the engineering applications since civilization. This article explains the potential methods by which the materials or the energy can be recovered through the recycling process. The authors have also tried to comprehend the need for recycling and the early approaches made. This review has been developed with few suggestions on advanced methods and their scope in the recycling of thermoset composites.

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Metadata

Authors
Utekar, S., V K, S., More, N., & Rao, A.
Venue
Composites Part B: Engineering
Publisher
Elsevier BV
Published
2021-02
Volume
207
Pages
108596
ISSN
1359-8368 (ISSN-L)
OpenAlex
W3117759444
Cited by
220
References
1
FWCI
9.43
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Comprehensive study of recycling of thermosetting polymer composites – Driving force, challenges and methods. https://app.cochat.ai/papers/10.1016/j.compositesb.2020.108596
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Utekar, S., V K, S., More, N., & Rao, A. (2021). Comprehensive study of recycling of thermosetting polymer composites – Driving force, challenges and methods. Composites Part B: Engineering. https://doi.org/10.1016/j.compositesb.2020.108596

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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.