3D printing of biodegradable polymers and their composites – current state-of-the-art, properties, applications, and machine learning for potential future applications
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Published version
Author(s)
Dananjaya, SAV
Chevali, VS
Dear, JP
Potluri, P
Abeykoon, C
Type
Journal Article
Abstract
This review paper comprehensively examines the dynamic landscape of 3D printing and Machine Learning utilizing biodegradable polymers and their composites, presenting a panoramic synthesis of research developments, technological achievements, and emerging applications. By investigating a multitude of biodegradable polymer types, the review paper delineates their suitability and compatibility with diverse 3D printing methodologies and demonstrates the merit of machine learning techniques, in future manufacturing processes. Moreover, this review paper focuses on the intricacies of material preparation, design adaptation as well as post-processing techniques tailored for biodegradable polymers, elucidating their pivotal role in achieving structural integrity and functional excellence. From biomedical implants and sustainable packaging solutions to artistic creations, the paper unveils the expansive spectrum of practical implementations, thus portraying the multifaceted impact of this technology. Whilst outlining prevalent challenges such as mechanical properties and recycling, this review paper concurrently surveys ongoing research endeavors aimed at addressing these limitations. In essence, this review encapsulates the transformative potential of 3D printing and Machine Learning with biodegradable polymers, providing a roadmap for future advancements and underscoring its pivotal role in fostering sustainable manufacturing/consumption for the future.
Date Issued
2024-12
Date Acceptance
2024-07-07
Citation
Progress in Materials Science, 2024, 146
ISSN
0079-6425
Publisher
Elsevier
Journal / Book Title
Progress in Materials Science
Volume
146
Copyright Statement
© 2024 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license
(http://creativecommons.org/licenses/by-nc-nd/4.0/).
(http://creativecommons.org/licenses/by-nc-nd/4.0/).
Identifier
http://dx.doi.org/10.1016/j.pmatsci.2024.101336
Publication Status
Published
Article Number
101336
Date Publish Online
2024-07-08