| About this Abstract |
| Meeting |
MS&T24: Materials Science & Technology
|
| Symposium
|
Additive Manufacturing Modeling, Simulation, and Machine Learning: Microstructure, Mechanics, and Process
|
| Presentation Title |
Computational and Experimental Phase Validation of Thermal Spray and Laser-Clad High-Entropy Alloy Coatings |
| Author(s) |
Ecio Bosi, Ashok Meghwal, Surinder Singh, Hank Lloyd, Rasim Eris, Soumya Sridar, Wei Xiong, Paul Munroe, Christopher C. Berndt, Andrew Ang |
| On-Site Speaker (Planned) |
Christopher C. Berndt |
| Abstract Scope |
The wide range of compositional possibilities in high-entropy alloys (HEAs) presents a challenging opportunity for designing HEAs with desired properties. Moreover, the non-equilibrium cooling conditions in coating processes involving rapid solidification, such as thermal spray and laser cladding, introduce a significant level of complexity in predicting the phase formation and stability of HEA coatings. This research employs the CALPHAD (Calculation of Phase Diagrams) approach, including equilibrium and non-equilibrium calculations (Scheil simulation), to assess qualitative and quantitative phase prediction in thermal spray and laser-clad HEA coatings. By integrating X-ray diffraction (XRD) and microscopy techniques, the computationally predicted phase formations were compared with the compositions and structures obtained within the HEA coatings. The results reveal a high degree of correlation between the CALPHAD simulations and the experimental findings, demonstrating the potential of CALPHAD simulations as a robust tool for designing and optimizing HEA coatings. |