| Project/Area Number |
23K26368
|
|---|
| Project/Area Number (Other) |
23H01674 (2023)
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (B)
|
| Allocation Type | Multi-year Fund (2024)
Single-year Grants (2023) |
|---|
| Section | 一般 |
|---|
| Review Section |
Basic Section 26010:Metallic material properties-related
|
|---|
| Research Institution | National Institute for Materials Science |
|---|
Principal Investigator |
世伯理 那仁 (S.AminHossein) 国立研究開発法人物質・材料研究機構, 磁性・スピントロニクス材料研究センター, グループリーダー (10621758)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
嶋 敏之 東北学院大学, 工学部, 教授 (50261508)
阿部 太一 国立研究開発法人物質・材料研究機構, 構造材料研究センター, グループリーダー (50354155)
|
|---|
| Project Period (FY) |
2023-04-01 – 2027-03-31
|
| Project Status |
Granted (Fiscal Year 2024)
|
| Budget Amount *help |
¥18,590,000 (Direct Cost: ¥14,300,000、Indirect Cost: ¥4,290,000)
Fiscal Year 2026: ¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Fiscal Year 2025: ¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2024: ¥5,720,000 (Direct Cost: ¥4,400,000、Indirect Cost: ¥1,320,000)
Fiscal Year 2023: ¥5,980,000 (Direct Cost: ¥4,600,000、Indirect Cost: ¥1,380,000)
|
|---|
| Keywords | SmFe12-based magnets / coercivity / microstructure / Phase diagram / Data science / SmFe12 / permanent magnets / machine learning |
|---|
| Outline of Research at the Start |
SmFe12-based compounds are potential candidate for the next generation high-performance rare-earth lean permanent magnets. This is due to their superior intrinsic magnetic properties than those of Nd2Fe14B at the elevated temperatures. However, the main challenge toward their industrial application is how to transfer their intrinsic magnetic properties to the extrinsic ones, large coercivity and remanence. In this project, we will overcome this problem by employing a new data-driven research approach to develop anisotropic SmFe12-based sintered magnets with Mr>1.2 T and Hc>2.0 T.
|
| Outline of Annual Research Achievements |
SmFe12-based compounds are known as potential candidates for the next generation high-performance permanent magnets. This is due to their superior intrinsic magnetic properties than those of Nd2Fe14B at the elevated temperatures. The main challenge for the industrial application of SmFe12-based magnets is how to transfer their intrinsic magnetic properties to the extrinsic ones, large coercivity and remanence. In this project, we will overcome this problem by employing a unique combinatorial research approach.
In FY2023, we have developed SmFe12-based magnetic thin films as model systems to understand the coercivity limit in an anisotropic SmFe12-based system. We have successfully increased the coercivity of anisotropic boron-doped Sm(Fe0.8Co0.2)12 thin films to 1.8 T, the highest value reported so far, by reduction in the magnetization of the intergranular phase via Al diffusion process. Based on this knowledge, we have made an effort to develop anisotropic bulk SmFe12-based sintered magnets. We have succeeded in increasing the coercivity of Cu-doped Sm(Fe,Ti,V)12-based sintered magnets to 1.4 T by precisely controlling the intergranular phase. To elucidate how to further increase the coercivity and remanence, we applied data science. We created a dataset including alloy composition, process parameters, microstructure, and magnetic properties of SmFe12-based magnets. We launched an active learning pipeline to further optimize the alloy composition, process parameters, and microstructure to further increase the remanence and coercivity closer to their theoretical limits.
|
| Current Status of Research Progress |
Current Status of Research Progress
1: Research has progressed more than it was originally planned.
Reason
The research is progressing very smoothly towards the project goal. We have successfully achieved a world record coercivity in SmFe12-based magnetic thin films as well as anisotropic bulk sintered magnets. In parallel, our microstructure-based micromagnetic simulation developed in this study provides clear guidelines on how to further modify the microstructure to increase the coercivity. In addition, the use of a machine learning approach is accelerating the progress of the research to optimize the alloy, process parameters and microstructure to realize a larger coercivity and remanence. The success of the work so far can be manifested with 5 peer-reviewed journal papers published within one year. In addition, 4 invited talks have been given at scientific conferences.
|
| Strategy for Future Research Activity |
We will accelerate the active learning approach to optimize the process parameters, alloy composition and microstructure of SmFe12-based sintered magnets. Using the prepared dataset, a convolutional neural network will be used to predict the role of existing phases on the coercivity and remanence, and the information will be combined with thermodynamic calculations to optimize the existing phases in the magnets. We will develop anisotropic bulk sintered SmFe12-based magnets with optimal alloy composition and process parameters to further increase coercivity and remanence. Multi-scale microstructure characterization and microstructure-based micromagnetic simulations will be used to correlate the obtained magnetic properties, microstructure and coercivity mechanism.
|
