生物可降解聚合物及其复合材料的 3D 打印--当前的最新技术、特性、应用以及未来潜在应用的机器学习

IF 33.6 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Progress in Materials Science Pub Date : 2024-07-08 DOI:10.1016/j.pmatsci.2024.101336
S.A.V. Dananjaya , V.S. Chevali , J.P. Dear , P. Potluri , C. Abeykoon
{"title":"生物可降解聚合物及其复合材料的 3D 打印--当前的最新技术、特性、应用以及未来潜在应用的机器学习","authors":"S.A.V. Dananjaya ,&nbsp;V.S. Chevali ,&nbsp;J.P. Dear ,&nbsp;P. Potluri ,&nbsp;C. Abeykoon","doi":"10.1016/j.pmatsci.2024.101336","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":411,"journal":{"name":"Progress in Materials Science","volume":"146 ","pages":"Article 101336"},"PeriodicalIF":33.6000,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0079642524001051/pdfft?md5=80467035aee3b67b256bf9073081de5b&pid=1-s2.0-S0079642524001051-main.pdf","citationCount":"0","resultStr":"{\"title\":\"3D printing of biodegradable polymers and their composites – Current state-of-the-art, properties, applications, and machine learning for potential future applications\",\"authors\":\"S.A.V. Dananjaya ,&nbsp;V.S. Chevali ,&nbsp;J.P. Dear ,&nbsp;P. Potluri ,&nbsp;C. Abeykoon\",\"doi\":\"10.1016/j.pmatsci.2024.101336\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p></div>\",\"PeriodicalId\":411,\"journal\":{\"name\":\"Progress in Materials Science\",\"volume\":\"146 \",\"pages\":\"Article 101336\"},\"PeriodicalIF\":33.6000,\"publicationDate\":\"2024-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0079642524001051/pdfft?md5=80467035aee3b67b256bf9073081de5b&pid=1-s2.0-S0079642524001051-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Progress in Materials Science\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0079642524001051\",\"RegionNum\":1,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATERIALS SCIENCE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Progress in Materials Science","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0079642524001051","RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

摘要

这篇综述论文全面探讨了利用生物可降解聚合物及其复合材料进行三维打印和机器学习的动态前景,对研究进展、技术成果和新兴应用进行了全景式综述。通过研究多种生物可降解聚合物类型,综述文件描述了它们与各种三维打印方法的适用性和兼容性,并展示了机器学习技术在未来制造工艺中的优势。此外,这篇综述论文还重点探讨了材料制备、设计调整以及为生物可降解聚合物量身定制的后处理技术的复杂性,阐明了它们在实现结构完整性和卓越功能方面的关键作用。从生物医学植入物、可持续包装解决方案到艺术创作,论文揭示了实际应用的广阔范围,从而描绘了这项技术的多方面影响。在概述机械性能和回收利用等普遍挑战的同时,这篇综述论文还对旨在解决这些局限性的当前研究工作进行了调查。从本质上讲,本综述概括了三维打印和机器学习与可生物降解聚合物的变革潜力,为未来的进步提供了路线图,并强调了其在促进未来可持续制造/消费方面的关键作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
3D printing of biodegradable polymers and their composites – Current state-of-the-art, properties, applications, and machine learning for potential future applications

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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Progress in Materials Science
Progress in Materials Science 工程技术-材料科学:综合
CiteScore
59.60
自引率
0.80%
发文量
101
审稿时长
11.4 months
期刊介绍: Progress in Materials Science is a journal that publishes authoritative and critical reviews of recent advances in the science of materials. The focus of the journal is on the fundamental aspects of materials science, particularly those concerning microstructure and nanostructure and their relationship to properties. Emphasis is also placed on the thermodynamics, kinetics, mechanisms, and modeling of processes within materials, as well as the understanding of material properties in engineering and other applications. The journal welcomes reviews from authors who are active leaders in the field of materials science and have a strong scientific track record. Materials of interest include metallic, ceramic, polymeric, biological, medical, and composite materials in all forms. Manuscripts submitted to Progress in Materials Science are generally longer than those found in other research journals. While the focus is on invited reviews, interested authors may submit a proposal for consideration. Non-invited manuscripts are required to be preceded by the submission of a proposal. Authors publishing in Progress in Materials Science have the option to publish their research via subscription or open access. Open access publication requires the author or research funder to meet a publication fee (APC). Abstracting and indexing services for Progress in Materials Science include Current Contents, Science Citation Index Expanded, Materials Science Citation Index, Chemical Abstracts, Engineering Index, INSPEC, and Scopus.
期刊最新文献
Electrothermally activated soft materials: Mechanisms, methods and applications Photothermal fabrics for solar-driven seawater desalination Editorial Board Quantum dots@layered double hydroxides: Emerging nanocomposites for multifaceted applications Thermoelectric materials and applications in buildings
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1