{"title":"开发用于估算聚合物压痕疲劳的经验模型,并用有限元模拟模型进行验证","authors":"Soumya Ranjan Guru, Mihir Sarangi","doi":"10.1557/s43578-024-01399-1","DOIUrl":null,"url":null,"abstract":"<p>Multi-cycle micro-indentation tests were conducted on three polymers: Poly-ether-ether-ketone (PEEK), Poly (methyl methacrylate) (PMMA), and Poly (tetra-fluoroethylene) (PTFE). The load–displacement curve obtained from the indentation technique was used to evaluate the mechanical properties of these polymers. This study employed multi-cyclic indentation to establish a polymer fatigue model utilizing the indentation load–displacement curve. Currently, researchers are investigating fatigue life studies using stress- and energy-based approaches. Two empirical models for each approach were developed using the least-square curve-fitting method in this study. A simulation model based on finite element analysis has been utilized to verify the accuracy of these fatigue models for Vickers indentation. During the validation process, both models had a maximum error value of 2% compared to the experimental data, indicating a strong agreement with the simulation results. The generated models can evaluate polymer fatigue using non-destructive methodology.</p><h3 data-test=\"abstract-sub-heading\">Graphical abstract</h3>\n","PeriodicalId":16306,"journal":{"name":"Journal of Materials Research","volume":null,"pages":null},"PeriodicalIF":2.7000,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of empirical models for estimation polymer indentation fatigue and validation with finite element simulation models\",\"authors\":\"Soumya Ranjan Guru, Mihir Sarangi\",\"doi\":\"10.1557/s43578-024-01399-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Multi-cycle micro-indentation tests were conducted on three polymers: Poly-ether-ether-ketone (PEEK), Poly (methyl methacrylate) (PMMA), and Poly (tetra-fluoroethylene) (PTFE). The load–displacement curve obtained from the indentation technique was used to evaluate the mechanical properties of these polymers. This study employed multi-cyclic indentation to establish a polymer fatigue model utilizing the indentation load–displacement curve. Currently, researchers are investigating fatigue life studies using stress- and energy-based approaches. Two empirical models for each approach were developed using the least-square curve-fitting method in this study. A simulation model based on finite element analysis has been utilized to verify the accuracy of these fatigue models for Vickers indentation. During the validation process, both models had a maximum error value of 2% compared to the experimental data, indicating a strong agreement with the simulation results. The generated models can evaluate polymer fatigue using non-destructive methodology.</p><h3 data-test=\\\"abstract-sub-heading\\\">Graphical abstract</h3>\\n\",\"PeriodicalId\":16306,\"journal\":{\"name\":\"Journal of Materials Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2024-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Materials Research\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://doi.org/10.1557/s43578-024-01399-1\",\"RegionNum\":4,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MATERIALS SCIENCE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Materials Research","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1557/s43578-024-01399-1","RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
Development of empirical models for estimation polymer indentation fatigue and validation with finite element simulation models
Multi-cycle micro-indentation tests were conducted on three polymers: Poly-ether-ether-ketone (PEEK), Poly (methyl methacrylate) (PMMA), and Poly (tetra-fluoroethylene) (PTFE). The load–displacement curve obtained from the indentation technique was used to evaluate the mechanical properties of these polymers. This study employed multi-cyclic indentation to establish a polymer fatigue model utilizing the indentation load–displacement curve. Currently, researchers are investigating fatigue life studies using stress- and energy-based approaches. Two empirical models for each approach were developed using the least-square curve-fitting method in this study. A simulation model based on finite element analysis has been utilized to verify the accuracy of these fatigue models for Vickers indentation. During the validation process, both models had a maximum error value of 2% compared to the experimental data, indicating a strong agreement with the simulation results. The generated models can evaluate polymer fatigue using non-destructive methodology.
期刊介绍:
Journal of Materials Research (JMR) publishes the latest advances about the creation of new materials and materials with novel functionalities, fundamental understanding of processes that control the response of materials, and development of materials with significant performance improvements relative to state of the art materials. JMR welcomes papers that highlight novel processing techniques, the application and development of new analytical tools, and interpretation of fundamental materials science to achieve enhanced materials properties and uses. Materials research papers in the following topical areas are welcome.
• Novel materials discovery
• Electronic, photonic and magnetic materials
• Energy Conversion and storage materials
• New thermal and structural materials
• Soft materials
• Biomaterials and related topics
• Nanoscale science and technology
• Advances in materials characterization methods and techniques
• Computational materials science, modeling and theory