Jian Yao, Yiwei Luo, Juncheng Wang, Longfei Zhang, Liming Tan, Lan Huang, Feng Liu
{"title":"机器学习指导下的Nb/Ta和Ti/Ta比对镍基单晶高温合金显微组织和蠕变断裂寿命的影响","authors":"Jian Yao, Yiwei Luo, Juncheng Wang, Longfei Zhang, Liming Tan, Lan Huang, Feng Liu","doi":"10.1007/s12540-025-01899-7","DOIUrl":null,"url":null,"abstract":"<div><p>This study provides a comprehensive analysis of the effects of modulating the Nb/Ta and Ti/Ta ratios on the microstructure and creep rupture life of nickel-based single-crystal superalloys by integrating a machine learning model with experimental validation. The findings indicate that optimizing the Ti/Ta ratio significantly enhances the creep life of the alloy, while increasing the Nb/Ta ratio negatively impacts creep performance. The predictive accuracy of the model is substantiated by a comparative analysis of the machine learning predictions and the experimental results, clarifying the mechanisms by which alloying elements affect creep behavior. These findings advance the understanding of performance regulation in nickel-based single-crystal superalloys and establish a robust theoretical and experimental foundation for future research and applications in high-temperature materials.</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 9","pages":"2710 - 2729"},"PeriodicalIF":4.0000,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Machine Learning Guided Insights into the Effects of Nb/Ta and Ti/Ta Ratios on Microstructure and Creep Rupture Life in Nickel-Based Single-Crystal Superalloys\",\"authors\":\"Jian Yao, Yiwei Luo, Juncheng Wang, Longfei Zhang, Liming Tan, Lan Huang, Feng Liu\",\"doi\":\"10.1007/s12540-025-01899-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This study provides a comprehensive analysis of the effects of modulating the Nb/Ta and Ti/Ta ratios on the microstructure and creep rupture life of nickel-based single-crystal superalloys by integrating a machine learning model with experimental validation. The findings indicate that optimizing the Ti/Ta ratio significantly enhances the creep life of the alloy, while increasing the Nb/Ta ratio negatively impacts creep performance. The predictive accuracy of the model is substantiated by a comparative analysis of the machine learning predictions and the experimental results, clarifying the mechanisms by which alloying elements affect creep behavior. These findings advance the understanding of performance regulation in nickel-based single-crystal superalloys and establish a robust theoretical and experimental foundation for future research and applications in high-temperature materials.</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 9\",\"pages\":\"2710 - 2729\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2025-02-12\",\"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/s12540-025-01899-7\",\"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/s12540-025-01899-7","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}
Machine Learning Guided Insights into the Effects of Nb/Ta and Ti/Ta Ratios on Microstructure and Creep Rupture Life in Nickel-Based Single-Crystal Superalloys
This study provides a comprehensive analysis of the effects of modulating the Nb/Ta and Ti/Ta ratios on the microstructure and creep rupture life of nickel-based single-crystal superalloys by integrating a machine learning model with experimental validation. The findings indicate that optimizing the Ti/Ta ratio significantly enhances the creep life of the alloy, while increasing the Nb/Ta ratio negatively impacts creep performance. The predictive accuracy of the model is substantiated by a comparative analysis of the machine learning predictions and the experimental results, clarifying the mechanisms by which alloying elements affect creep behavior. These findings advance the understanding of performance regulation in nickel-based single-crystal superalloys and establish a robust theoretical and experimental foundation for future research and applications in high-temperature materials.
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.
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