{"title":"形状记忆聚合物及其复合材料的研究进展:从理论建模和 MD 模拟到增材制造","authors":"Yu Li, Denvid Lau","doi":"10.1016/j.giant.2024.100277","DOIUrl":null,"url":null,"abstract":"<div><p>Shape memory polymers (SMPs) and their composites have broad application prospects in multiple fields due to their unique shape memory effects. However, they still face challenges in accurately controlling the shape recovery process, improving the stability of shape memory loops, and achieving the manufacturing of complex shapes and functions. At present, theoretical models, molecular dynamics (MD) simulations, and additive manufacturing technologies have been widely applied. Theoretical models and MD simulations provide theoretical foundations at both macro and micro levels, respectively. Meanwhile, by combining SMPs and their composites with additive manufacturing, some complex structures can be produced. This not only verifies the accuracy of the theoretical foundation, but also further expands its application. This review aims to review the application and intersection of theoretical models, MD simulations, and additive manufacturing in the research of SMPs and their composites, and analyze how they jointly promote the leap from theory to application, providing valuable insights for future development trends.</p></div>","PeriodicalId":34151,"journal":{"name":"GIANT","volume":null,"pages":null},"PeriodicalIF":5.4000,"publicationDate":"2024-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666542524000420/pdfft?md5=da184f509252cdf893d703853d4fb1f1&pid=1-s2.0-S2666542524000420-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Advances in shape memory polymers and their composites: From theoretical modeling and MD simulations to additive manufacturing\",\"authors\":\"Yu Li, Denvid Lau\",\"doi\":\"10.1016/j.giant.2024.100277\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Shape memory polymers (SMPs) and their composites have broad application prospects in multiple fields due to their unique shape memory effects. However, they still face challenges in accurately controlling the shape recovery process, improving the stability of shape memory loops, and achieving the manufacturing of complex shapes and functions. At present, theoretical models, molecular dynamics (MD) simulations, and additive manufacturing technologies have been widely applied. Theoretical models and MD simulations provide theoretical foundations at both macro and micro levels, respectively. Meanwhile, by combining SMPs and their composites with additive manufacturing, some complex structures can be produced. This not only verifies the accuracy of the theoretical foundation, but also further expands its application. This review aims to review the application and intersection of theoretical models, MD simulations, and additive manufacturing in the research of SMPs and their composites, and analyze how they jointly promote the leap from theory to application, providing valuable insights for future development trends.</p></div>\",\"PeriodicalId\":34151,\"journal\":{\"name\":\"GIANT\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.4000,\"publicationDate\":\"2024-04-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2666542524000420/pdfft?md5=da184f509252cdf893d703853d4fb1f1&pid=1-s2.0-S2666542524000420-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"GIANT\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666542524000420\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"GIANT","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666542524000420","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
Advances in shape memory polymers and their composites: From theoretical modeling and MD simulations to additive manufacturing
Shape memory polymers (SMPs) and their composites have broad application prospects in multiple fields due to their unique shape memory effects. However, they still face challenges in accurately controlling the shape recovery process, improving the stability of shape memory loops, and achieving the manufacturing of complex shapes and functions. At present, theoretical models, molecular dynamics (MD) simulations, and additive manufacturing technologies have been widely applied. Theoretical models and MD simulations provide theoretical foundations at both macro and micro levels, respectively. Meanwhile, by combining SMPs and their composites with additive manufacturing, some complex structures can be produced. This not only verifies the accuracy of the theoretical foundation, but also further expands its application. This review aims to review the application and intersection of theoretical models, MD simulations, and additive manufacturing in the research of SMPs and their composites, and analyze how they jointly promote the leap from theory to application, providing valuable insights for future development trends.
期刊介绍:
Giant is an interdisciplinary title focusing on fundamental and applied macromolecular science spanning all chemistry, physics, biology, and materials aspects of the field in the broadest sense. Key areas covered include macromolecular chemistry, supramolecular assembly, multiscale and multifunctional materials, organic-inorganic hybrid materials, biophysics, biomimetics and surface science. Core topics range from developments in synthesis, characterisation and assembly towards creating uniformly sized precision macromolecules with tailored properties, to the design and assembly of nanostructured materials in multiple dimensions, and further to the study of smart or living designer materials with tuneable multiscale properties.