A5027438950- High-Temperature Coating Behaviors
- High Entropy Alloys Studies
- Advanced Materials Characterization Techniques
- Electron and X-Ray Spectroscopy Techniques
- Catalytic Processes in Materials Science
- Magnetic Properties and Synthesis of Ferrites
- Composite Material Mechanics
- Machine Learning in Materials Science
- Advanced ceramic materials synthesis
- Metal and Thin Film Mechanics
- Metallic Glasses and Amorphous Alloys
- Iron-based superconductors research
- Magnetic Properties of Alloys
- Additive Manufacturing Materials and Processes
- 2D Materials and Applications
- Numerical methods in engineering
- Heusler alloys: electronic and magnetic properties
CFD Research Corporation (United States)
2018-2024
Huntsville Hospital
2018
Abstract Refractory high-entropy alloys (RHEAs) show significant elevated-temperature yield strengths and have potential to use as high-performance materials in gas turbine engines. Exploring the vast RHEA compositional space experimentally is challenging, a small fraction of this has been explored date. This work demonstrates development state-of-the-art machine learning framework coupled with optimization methods intelligently explore drive search direction that improves high-temperature...
Ferromagnetic Cr<sub>2</sub>Te<sub>3</sub> nanorods with ultrahigh coercivity were synthesized by a one-pot high-temperature organic-solution-phase method.
Abstract Refractory high-entropy alloys (RHEAs) are of prime interest for their potential use as high-temperature materials in next-generation gas turbine engines. Improving the strength-plasticity trade-off has been a grand challenge RHEAs due to vast composition search space and non-availability reliable models. In this paper, we have developed machine learning-based plasticity model yield strength order define criteria trade-off. A robust probabilistic-based uncertainty quantification is...
The number and types of phases formed in high entropy alloys (HEAs) have significant impacts on the mechanical properties. While various machine learning approaches were developed for predicting whether an HEA is single or multiphase, changes chemistry and/or composition can lead to other across length scales, which affect material performance. To address this challenge, we introduce a graph-based approach, captures similarity these defines design pathways chemical modifications alloys. Our...
Abstract Refractory high-entropy alloys (RHEAs) are a promising class of that show elevated-temperature yield strengths and have potential to use as high-performance materials in gas turbine engines. However, exploring the vast RHEA compositional space experimentally is challenging, only small fraction this has been explored date. This work demonstrates development state-of-the-art machine learning (ML) predictive framework coupled with optimization methods intelligently explore drive search...
coatings with this process, however, and the do not exhibit columnar microstructure that is needed for reliable, long-term performance. The electron-beam physical vapor deposition (EB-PVD) process does produce desirable microstructure, capital cost of these systems very high line-of-sight nature limits coating uniformity ability to coat large complex shapes. chemical (CVD) also produces and--under proper conditions--can uniform over overall goal project--a joint effort University Louisville...
coatings with this process, however, and the do not exhibit columnar microstructure that is needed for reliable, long-term performance. The electron-beam physical vapor deposition (EB-PVD) process does produce desirable microstructure, capital cost of these systems very high line-of-sight nature limits coating uniformity ability to coat large complex shapes. chemical (CVD) also produces and--under proper conditions--can uniform over overall goal project--a joint effort University Louisville...
View Video Presentation: https://doi.org/10.2514/6.2021-0404.vid Environmental Barrier Coatings (EBC) protect ceramic matrix composites from exposure to high temperature moisture present in turbine operation through their dense top coats. However, is able diffuse and oxidize the Si bond coat form Thermally Grown Oxide (TGO), a layer of SiO2 where incorporation O causes swelling stress. At sufficient TGO-based swelling, EBC will fail due increased damage such as delamination. A multiscale...