3D Printing of Covalent Adaptable Networks: Overview, Applications and Future Prospects
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In: Polymer reviews, Vol. 64.2024, No. 1, 30.06.2023, p. 36-79.
Research output: Contribution to journal › Review article › peer-review
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TY - JOUR
T1 - 3D Printing of Covalent Adaptable Networks
T2 - Overview, Applications and Future Prospects
AU - Bijalwan, Viranchika
AU - Rana, Sravendra
AU - Singh, Harish K.
AU - Yun, Gun Jin
AU - Jamil, Muhammad
AU - Schlögl, Sandra
N1 - Publisher Copyright: © 2023 Taylor & Francis Group, LLC.
PY - 2023/6/30
Y1 - 2023/6/30
N2 - 3D printing, a rapidly growing material processing technique has found its broad applications in construction, automobiles, robotics, domestic usage and in biomedical sectors due to its ability to fabricate the desirable objects from scratch. However, due to the non-recyclable and non-reprocessable nature of most printed structures, the discarded 3D printed objects generate wastes after damage or use. Covalent Adaptable Networks (CANs) are polymeric networks those can change their network topology by exchanging their functionalities under external stimuli, thus, rendering the printed objects recyclable, therefore helpful in terms of reducing waste. The fabricated objects may also be endowed with properties such as self-healing, shape-memory, enhanced mechanical strength, degradability, and reprintability. The present article covers different methods utilized for 3D printing of the polymers having CANs, including a detailed insight to present trends and technologies in the field. In addition, their applications, particularly in soft robotics and biomedical fields have been discussed. Future perspectives regarding the challenges, new potential applications as well as importance of continuous advancements in the field of 3D printing of CANs have also been discussed.
AB - 3D printing, a rapidly growing material processing technique has found its broad applications in construction, automobiles, robotics, domestic usage and in biomedical sectors due to its ability to fabricate the desirable objects from scratch. However, due to the non-recyclable and non-reprocessable nature of most printed structures, the discarded 3D printed objects generate wastes after damage or use. Covalent Adaptable Networks (CANs) are polymeric networks those can change their network topology by exchanging their functionalities under external stimuli, thus, rendering the printed objects recyclable, therefore helpful in terms of reducing waste. The fabricated objects may also be endowed with properties such as self-healing, shape-memory, enhanced mechanical strength, degradability, and reprintability. The present article covers different methods utilized for 3D printing of the polymers having CANs, including a detailed insight to present trends and technologies in the field. In addition, their applications, particularly in soft robotics and biomedical fields have been discussed. Future perspectives regarding the challenges, new potential applications as well as importance of continuous advancements in the field of 3D printing of CANs have also been discussed.
KW - 3D printing
KW - Covalent adaptable network
KW - dynamic covalent chemistry
KW - recycling
KW - self-healing
UR - http://www.scopus.com/inward/record.url?scp=85164102772&partnerID=8YFLogxK
U2 - 10.1080/15583724.2023.2227692
DO - 10.1080/15583724.2023.2227692
M3 - Review article
AN - SCOPUS:85164102772
VL - 64.2024
SP - 36
EP - 79
JO - Polymer reviews
JF - Polymer reviews
SN - 1558-3724
IS - 1
ER -