{"title":"6C16铝合金各向异性及成形极限的认识:基于演化r值的不同计算方法","authors":"Zhenkai Mu, Tianyu Hou, Longfei He, Jiale Liu, Shibo Ma, Huajun Yan, Xuerui Dai","doi":"10.1007/s12540-024-01870-y","DOIUrl":null,"url":null,"abstract":"<div><p>The forming limit curve (FLC) is crucial for evaluating the local forming ability of sheet metal stamping. Considering the evolution of plastic deformation is a significant way to enhance the prediction of the theoretical forming limit. Based on the series anisotropic and forming limit characterization tests for 6C16 aluminum alloy sheet, the influence of calculation methods for evolutionary <i>R</i>-values on the FLC prediction was revealed in this paper. By comparing the calculation processes of plastic strain curves using three evolutionary <i>R</i>-value calculation methods, their calculation principles and limitations were analyzed in detail. In terms of the fitting error for the plastic strain curve, the segmentation linear fitting method had the highest error at 2.62E−3, while the third-order polynomial fitting method had the lowest error at 6.71E−7. Based on the Marciniak–Kuczinsky (M–K) model, the FLC was predicted by different evolutionary <i>R</i>-value calculation methods combined with Hill48, Barlat89, and YLD2000 yield models. The results indicate that the accuracy of FLC prediction is closely related to the fitting accuracy of the <i>R</i>-value solving method on the plastic strain curve. When the third-order polynomial method was used, the prediction accuracy of the FLC based on the YLD2000 yield model could reach 97.82%, which was an increase of 2.76% compared to the other methods. Therefore, optimizing the method of solving the <i>R</i>-value can significantly enhance the prediction accuracy of the FLC. The research findings offer a reference for the selection of appropriate yield models and anisotropic evolution characterization methods for the M–K model.</p><h3>Graphical Abstract</h3>\n<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":703,"journal":{"name":"Metals and Materials International","volume":"31 7","pages":"1962 - 1981"},"PeriodicalIF":4.0000,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Understanding Anisotropy and Forming Limit in 6C16 Aluminum Alloy: Insights from Evolutionary R-Values with Various Calculation Methods\",\"authors\":\"Zhenkai Mu, Tianyu Hou, Longfei He, Jiale Liu, Shibo Ma, Huajun Yan, Xuerui Dai\",\"doi\":\"10.1007/s12540-024-01870-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The forming limit curve (FLC) is crucial for evaluating the local forming ability of sheet metal stamping. Considering the evolution of plastic deformation is a significant way to enhance the prediction of the theoretical forming limit. Based on the series anisotropic and forming limit characterization tests for 6C16 aluminum alloy sheet, the influence of calculation methods for evolutionary <i>R</i>-values on the FLC prediction was revealed in this paper. By comparing the calculation processes of plastic strain curves using three evolutionary <i>R</i>-value calculation methods, their calculation principles and limitations were analyzed in detail. In terms of the fitting error for the plastic strain curve, the segmentation linear fitting method had the highest error at 2.62E−3, while the third-order polynomial fitting method had the lowest error at 6.71E−7. Based on the Marciniak–Kuczinsky (M–K) model, the FLC was predicted by different evolutionary <i>R</i>-value calculation methods combined with Hill48, Barlat89, and YLD2000 yield models. The results indicate that the accuracy of FLC prediction is closely related to the fitting accuracy of the <i>R</i>-value solving method on the plastic strain curve. When the third-order polynomial method was used, the prediction accuracy of the FLC based on the YLD2000 yield model could reach 97.82%, which was an increase of 2.76% compared to the other methods. Therefore, optimizing the method of solving the <i>R</i>-value can significantly enhance the prediction accuracy of the FLC. The research findings offer a reference for the selection of appropriate yield models and anisotropic evolution characterization methods for the M–K model.</p><h3>Graphical Abstract</h3>\\n<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>\",\"PeriodicalId\":703,\"journal\":{\"name\":\"Metals and Materials International\",\"volume\":\"31 7\",\"pages\":\"1962 - 1981\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2025-01-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Metals and Materials International\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s12540-024-01870-y\",\"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":"Metals and Materials International","FirstCategoryId":"88","ListUrlMain":"https://link.springer.com/article/10.1007/s12540-024-01870-y","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}
Understanding Anisotropy and Forming Limit in 6C16 Aluminum Alloy: Insights from Evolutionary R-Values with Various Calculation Methods
The forming limit curve (FLC) is crucial for evaluating the local forming ability of sheet metal stamping. Considering the evolution of plastic deformation is a significant way to enhance the prediction of the theoretical forming limit. Based on the series anisotropic and forming limit characterization tests for 6C16 aluminum alloy sheet, the influence of calculation methods for evolutionary R-values on the FLC prediction was revealed in this paper. By comparing the calculation processes of plastic strain curves using three evolutionary R-value calculation methods, their calculation principles and limitations were analyzed in detail. In terms of the fitting error for the plastic strain curve, the segmentation linear fitting method had the highest error at 2.62E−3, while the third-order polynomial fitting method had the lowest error at 6.71E−7. Based on the Marciniak–Kuczinsky (M–K) model, the FLC was predicted by different evolutionary R-value calculation methods combined with Hill48, Barlat89, and YLD2000 yield models. The results indicate that the accuracy of FLC prediction is closely related to the fitting accuracy of the R-value solving method on the plastic strain curve. When the third-order polynomial method was used, the prediction accuracy of the FLC based on the YLD2000 yield model could reach 97.82%, which was an increase of 2.76% compared to the other methods. Therefore, optimizing the method of solving the R-value can significantly enhance the prediction accuracy of the FLC. The research findings offer a reference for the selection of appropriate yield models and anisotropic evolution characterization methods for the M–K model.
期刊介绍:
Metals and Materials International publishes original papers and occasional critical reviews on all aspects of research and technology in materials engineering: physical metallurgy, materials science, and processing of metals and other materials. Emphasis is placed on those aspects of the science of materials that are concerned with the relationships among the processing, structure and properties (mechanical, chemical, electrical, electrochemical, magnetic and optical) of materials. Aspects of processing include the melting, casting, and fabrication with the thermodynamics, kinetics and modeling.