{"title":"非晶形状记忆聚合物的统一热力学建模方法","authors":"","doi":"10.1016/j.commatsci.2024.113373","DOIUrl":null,"url":null,"abstract":"<div><div>The programming of shape memory polymers (SMPs) for use in large-scale space structures and implantable medical devices is a process that is currently time-consuming, labor-intensive, and energy-intensive, particularly when carried out at high temperatures. Fortunately, SMPs can usually be induced to produce shape memory effects not only at high temperatures but also at low temperatures, which makes them a hotspot in the fields of biology, medicine, aerospace, etc. However, few studies clearly present a unified method for modeling the shape memory characteristics across disparate programming temperatures. In the paper, we develop a unified thermodynamic modeling approach for SMPs. The free energy is decomposed into a rubbery part and a glassy part with the introduction of the phenomenological theory. Consequently, the complex structure and stress relaxation mechanisms undergo significant simplification and innovation. The fully thermomechanically coupled constitutive equations are derived from the second law of thermodynamics. Subsequently, the constitutive model is employed to reproduce the shape memory effect (SME) under both high-temperature programming and low-temperature programming. The model findings are effectively compared with the thermo-mechanical experiments, resulting in a good agreement.</div></div>","PeriodicalId":10650,"journal":{"name":"Computational Materials Science","volume":null,"pages":null},"PeriodicalIF":3.1000,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A unified thermodynamic modeling approach for amorphous shape memory polymers\",\"authors\":\"\",\"doi\":\"10.1016/j.commatsci.2024.113373\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The programming of shape memory polymers (SMPs) for use in large-scale space structures and implantable medical devices is a process that is currently time-consuming, labor-intensive, and energy-intensive, particularly when carried out at high temperatures. Fortunately, SMPs can usually be induced to produce shape memory effects not only at high temperatures but also at low temperatures, which makes them a hotspot in the fields of biology, medicine, aerospace, etc. However, few studies clearly present a unified method for modeling the shape memory characteristics across disparate programming temperatures. In the paper, we develop a unified thermodynamic modeling approach for SMPs. The free energy is decomposed into a rubbery part and a glassy part with the introduction of the phenomenological theory. Consequently, the complex structure and stress relaxation mechanisms undergo significant simplification and innovation. The fully thermomechanically coupled constitutive equations are derived from the second law of thermodynamics. Subsequently, the constitutive model is employed to reproduce the shape memory effect (SME) under both high-temperature programming and low-temperature programming. The model findings are effectively compared with the thermo-mechanical experiments, resulting in a good agreement.</div></div>\",\"PeriodicalId\":10650,\"journal\":{\"name\":\"Computational Materials Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2024-09-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computational Materials Science\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0927025624005949\",\"RegionNum\":3,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Materials Science","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0927025624005949","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
A unified thermodynamic modeling approach for amorphous shape memory polymers
The programming of shape memory polymers (SMPs) for use in large-scale space structures and implantable medical devices is a process that is currently time-consuming, labor-intensive, and energy-intensive, particularly when carried out at high temperatures. Fortunately, SMPs can usually be induced to produce shape memory effects not only at high temperatures but also at low temperatures, which makes them a hotspot in the fields of biology, medicine, aerospace, etc. However, few studies clearly present a unified method for modeling the shape memory characteristics across disparate programming temperatures. In the paper, we develop a unified thermodynamic modeling approach for SMPs. The free energy is decomposed into a rubbery part and a glassy part with the introduction of the phenomenological theory. Consequently, the complex structure and stress relaxation mechanisms undergo significant simplification and innovation. The fully thermomechanically coupled constitutive equations are derived from the second law of thermodynamics. Subsequently, the constitutive model is employed to reproduce the shape memory effect (SME) under both high-temperature programming and low-temperature programming. The model findings are effectively compared with the thermo-mechanical experiments, resulting in a good agreement.
期刊介绍:
The goal of Computational Materials Science is to report on results that provide new or unique insights into, or significantly expand our understanding of, the properties of materials or phenomena associated with their design, synthesis, processing, characterization, and utilization. To be relevant to the journal, the results should be applied or applicable to specific material systems that are discussed within the submission.