| Title |
3D printing of biodegradable polymers and their composites - Current state-of-the-art, properties, applications, and machine learning for potential future applications |
| ID_Doc |
6159 |
| Authors |
Dananjaya, SAV; Chevali, VS; Dear, JP; Potluri, P; Abeykoon, C |
| Title |
3D printing of biodegradable polymers and their composites - Current state-of-the-art, properties, applications, and machine learning for potential future applications |
| Year |
2024 |
| Published |
|
| DOI |
10.1016/j.pmatsci.2024.101336 |
| 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 surveys ongoing research endeavors aimed at addressing these limitations. In essence, this review able polymers, providing a roadmap for future advancements and underscoring its pivotal role in fostering sustainable manufacturing/consumption for the future. |
| Author Keywords |
3D Printing; Biodegradable polymers; Composite structures; Sustainability; Circular economy; Machine Learning; Sustainable manufacturing |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001277879000001 |
| WoS Category |
Materials Science, Multidisciplinary |
| Research Area |
Materials Science |
| PDF |
https://doi.org/10.1016/j.pmatsci.2024.101336
|