Back to Search
Start Over
Accelerated design of novel W-free high-strength Co-base superalloys with extremely wide γ/γʹ region by machine learning and CALPHAD methods
- Source :
- Acta Materialia. 186:425-433
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- Since half a century ago, researchers have continuously focused on developing γʹ-strengthened Co-base superalloys to achieve an increased power and efficiency; these alloys can supposedly operate at higher temperatures than Ni-base superalloys. However, the yielded results have failed to meet the expectations. Herein, we successfully design novel W-free Co-V-Ta-base alloys by employing machine learning algorithm and CALPHAD methods, which exhibit low mass density (8.67–8.86 g/cm3), an extremely wide γ/γʹ region, a high γʹ solvus temperature (up to 1044 °C), and a high strength. The atom probe tomography results show that titanium is an extremely strong γʹ-former; therefore, it is expected to improve the thermodynamic stability of the γʹ phase. Furthermore, besides the very high tensile strength (18.7 GPa) of γʹ phase, indicated by first-principles calculations, the strength of Ti-incorporated alloy is higher than that of γʹ-strengthened Co-base superalloys; especially, the reported strength value is higher than that of the well-known Co-9Al-9 W alloy by approximately 322 MPa at 750 °C, which is comparable to that of a few commercial Ni-base superalloys. Therefore, the possibility of the Co-V-Ta-base system being a candidate for developing novel Co-base superalloys is strongly suggested in this study.
- Subjects :
- Materials science
Polymers and Plastics
Base (chemistry)
Alloy
chemistry.chemical_element
02 engineering and technology
engineering.material
Machine learning
computer.software_genre
01 natural sciences
Phase (matter)
0103 physical sciences
Ultimate tensile strength
Solvus
CALPHAD
010302 applied physics
chemistry.chemical_classification
business.industry
Metals and Alloys
021001 nanoscience & nanotechnology
Electronic, Optical and Magnetic Materials
Superalloy
chemistry
Ceramics and Composites
engineering
Artificial intelligence
0210 nano-technology
business
computer
Titanium
Subjects
Details
- ISSN :
- 13596454
- Volume :
- 186
- Database :
- OpenAIRE
- Journal :
- Acta Materialia
- Accession number :
- edsair.doi...........6c6f87286a0961f8cc6fdfb62db80913
- Full Text :
- https://doi.org/10.1016/j.actamat.2020.01.004