{"title":"形状记忆天然橡胶的形状记忆效应实验与建模","authors":"Y. Kow, Ai-Bao Chai, Jee Hou Ho","doi":"10.4028/p-zts6ld","DOIUrl":null,"url":null,"abstract":"Shape memory natural rubber (SMNR) is a form of smart material that can memorise its permanent shape in response to temperature. In this article, a phenomenological constitutive model was adopted to predict the stress-strain evolution during the shape memory process of SMNR to understand the behavior of SMNR. A standard linear solid (SLS) model with Kelvin Voigt element was extended with two Mooney Rivlin models to account for the mechanical response, while a thermal strain model represented the change of length during the programming process and recovery process. An external temperature law was constructed to govern the volume fraction change between the soft active and frozen phase. The proposed constitutive model is capable of capturing the stress-strain behaviour of each shape memory step.","PeriodicalId":507742,"journal":{"name":"Materials Science Forum","volume":"1 6","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Experimental and Modelling of Shape Memory Effect of Shape Memory Natural Rubber\",\"authors\":\"Y. Kow, Ai-Bao Chai, Jee Hou Ho\",\"doi\":\"10.4028/p-zts6ld\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Shape memory natural rubber (SMNR) is a form of smart material that can memorise its permanent shape in response to temperature. In this article, a phenomenological constitutive model was adopted to predict the stress-strain evolution during the shape memory process of SMNR to understand the behavior of SMNR. A standard linear solid (SLS) model with Kelvin Voigt element was extended with two Mooney Rivlin models to account for the mechanical response, while a thermal strain model represented the change of length during the programming process and recovery process. An external temperature law was constructed to govern the volume fraction change between the soft active and frozen phase. The proposed constitutive model is capable of capturing the stress-strain behaviour of each shape memory step.\",\"PeriodicalId\":507742,\"journal\":{\"name\":\"Materials Science Forum\",\"volume\":\"1 6\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Materials Science Forum\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4028/p-zts6ld\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Materials Science Forum","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4028/p-zts6ld","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Experimental and Modelling of Shape Memory Effect of Shape Memory Natural Rubber
Shape memory natural rubber (SMNR) is a form of smart material that can memorise its permanent shape in response to temperature. In this article, a phenomenological constitutive model was adopted to predict the stress-strain evolution during the shape memory process of SMNR to understand the behavior of SMNR. A standard linear solid (SLS) model with Kelvin Voigt element was extended with two Mooney Rivlin models to account for the mechanical response, while a thermal strain model represented the change of length during the programming process and recovery process. An external temperature law was constructed to govern the volume fraction change between the soft active and frozen phase. The proposed constitutive model is capable of capturing the stress-strain behaviour of each shape memory step.