{"title":"植入式医疗器械疲劳可靠性综合预测方法研究","authors":"Haitao Zhang, Mingxiao Jiang","doi":"10.1109/RAM.2017.7889691","DOIUrl":null,"url":null,"abstract":"For implantable medical devices that must have sufficient fatigue durability to last for many years of implantation, the current fatigue reliability characterization/demonstration method has several drawbacks. In this paper, by combining the feasibility testing, FEA analysis, material level probabilistic stress-life (P-S-N) curve, use condition based fatigue loading, we developed an integrated approach to predict implantable medical device fatigue reliability.","PeriodicalId":138871,"journal":{"name":"2017 Annual Reliability and Maintainability Symposium (RAMS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An integrated approach for implantable medical devices fatigue reliability prediction\",\"authors\":\"Haitao Zhang, Mingxiao Jiang\",\"doi\":\"10.1109/RAM.2017.7889691\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For implantable medical devices that must have sufficient fatigue durability to last for many years of implantation, the current fatigue reliability characterization/demonstration method has several drawbacks. In this paper, by combining the feasibility testing, FEA analysis, material level probabilistic stress-life (P-S-N) curve, use condition based fatigue loading, we developed an integrated approach to predict implantable medical device fatigue reliability.\",\"PeriodicalId\":138871,\"journal\":{\"name\":\"2017 Annual Reliability and Maintainability Symposium (RAMS)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Annual Reliability and Maintainability Symposium (RAMS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RAM.2017.7889691\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Annual Reliability and Maintainability Symposium (RAMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAM.2017.7889691","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An integrated approach for implantable medical devices fatigue reliability prediction
For implantable medical devices that must have sufficient fatigue durability to last for many years of implantation, the current fatigue reliability characterization/demonstration method has several drawbacks. In this paper, by combining the feasibility testing, FEA analysis, material level probabilistic stress-life (P-S-N) curve, use condition based fatigue loading, we developed an integrated approach to predict implantable medical device fatigue reliability.