Prediction of yield strength in refractory body-centered-cubic High Entropy Alloys
Creators
- 1. Engineering and Technology Institute (ENTEG), Faculty of Science and Engineering, University of Groningen, Groningen, 9474AG, Netherlands
 - 2. Laboratory for Multiscale Mechanics Modeling, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland
 - 3. Department of Materials Science and Engineering, The University of Tennessee, Knoxville, TN 37996-2100, USA
 - 4. Materials Science and Technology Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA
 - 5. Neutron Scattering Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA
 - 6. Department of Electrophysics, National Chiao Tung University, Hsinchu, 30010, Taiwan
 - 7. Department of Materials Physics, Eötvös University, Budapest, P.O. Box 32, H-1518, Hungary
 - 8. Department of Physics, Carnegie Mellon University, Pittsburgh, PA 15213, USA
 - 9. Center for Nano-phase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA
 
* Contact person
Description
Energy efficiency is motivating the search for new high-temperature metals. Some new body-centered-cubic random multicomponent "high entropy alloys (HEAs)" based on refractory elements (Cr-Mo-Nb-Ta-V-W-Hf-Ti-Zr) possess exceptional strengths at high temperatures but the physical origins of this outstanding behavior are not known. Here, by using a recent mechanistic theory, we have computed the high-temperature (T=1300K) yield strength based on solute strengthening of over 10 million alloys within the whole Al-Cr-Mo-Nb-Ta-V-W-Hf-Ti-Zr alloy family. Also the yield strength/density has been computed. This database enables the efficient search of new alloys with exceptional high-temperature strength.
Files
File preview
      
        files_description.md
        
      
    
    All files
      
        Files
         (1.2 GiB)
        
      
    
    | Name | Size | |
|---|---|---|
| 
            
            md5:350d59f7acc955430fbfd2c2acfdd074
             | 
          
          513 Bytes | Preview Download | 
| 
            
            md5:da7c045a9aaf5e3497d1bc1234cf0639
             | 
          
          842.1 MiB | Download | 
| 
            
            md5:03e93b887db950a68f54fbd09abfd8de
             | 
          
          170.3 MiB | Preview Download | 
| 
            
            md5:0cfc959d6b6122c6dea829d0be0c172d
             | 
          
          172.6 MiB | Preview Download | 
| 
            
            md5:11768af31cf229be37f6d05fccf7893d
             | 
          
          1.5 KiB | Preview Download | 
References
Preprint (Preprint where the data is discussed) F. Maresca, C. Lee, R. Feng, Y. Chou, T. Ungar, M. Widom, K. An, J. Poplawsky, Y.-C. Chou, P. Liaw., W. Curtin, arXiv:2008.11671 (2020)
Journal reference (Paper in which the theory is described) F. Maresca, W. Curtin, Acta Mater. 182, 235-249 (2020), doi: 10.1016/j.actamat.2019.10.015