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 -