TY - JOUR
T1 - 3D Printing of Biodegradable Polymers and their Composites – Current State-of-the-art, Properties, Applications, and Machine Learning for Potential Future Applications
AU - Dananjaya, Vimukthi
AU - Chevali, V. S.
AU - Dear, J. P.
AU - Potluri, Prasad
AU - Abeykoon, Chamil
PY - 2024/7/8
Y1 - 2024/7/8
N2 - 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.
AB - 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.
KW - 3D Printing
KW - Biodegradable polymers
KW - Composite structures
KW - Sustainability
KW - Circular economy
KW - Machine Learning
KW - Sustainable manufacturing
U2 - 10.1016/j.pmatsci.2024.101336
DO - 10.1016/j.pmatsci.2024.101336
M3 - Review article
SN - 0079-6425
VL - 146
JO - Progress In Materials Science
JF - Progress In Materials Science
M1 - 101336
ER -