About
Contact & Profiles
A5029670097
Research Areas
- High Entropy Alloys Studies
- Additive Manufacturing Materials and Processes
- Metallurgy and Material Forming
- Aluminum Alloys Composites Properties
- Aluminum Alloy Microstructure Properties
- Advanced Materials Characterization Techniques
- High Temperature Alloys and Creep
- Microstructure and Mechanical Properties of Steels
- Nuclear Materials and Properties
- High-Temperature Coating Behaviors
- Microstructure and mechanical properties
- Magnesium Alloys: Properties and Applications
- Energetic Materials and Combustion
- Orthopaedic implants and arthroplasty
- Catalytic Processes in Materials Science
- Heat and Mass Transfer in Porous Media
- Pickering emulsions and particle stabilization
- Thermal and Kinetic Analysis
- Corrosion Behavior and Inhibition
- Electrospun Nanofibers in Biomedical Applications
- Metal Alloys Wear and Properties
- Nanoporous metals and alloys
- Metal Forming Simulation Techniques
- Bone Tissue Engineering Materials
- Cellular and Composite Structures
Michigan Technological University
2013-2025
National Energy Technology Laboratory
2015
10.1007/s11665-015-1679-7
article
EN
Journal of Materials Engineering and Performance
2015-08-26
10.1007/s11837-015-1540-3
article
EN
JOM
2015-07-13
10.2139/ssrn.5082634
preprint
EN
2025-01-01
10.1016/j.msea.2025.148347
article
EN
Materials Science and Engineering A
2025-04-15
10.1016/j.msea.2021.141921
article
EN
Materials Science and Engineering A
2021-08-18
10.1016/j.jallcom.2020.154185
article
EN
publisher-specific-oa
Journal of Alloys and Compounds
2020-02-04
10.1007/s40962-020-00513-3
article
EN
International Journal of Metalcasting
2020-08-30
10.1007/s10853-021-05981-4
article
EN
Journal of Materials Science
2021-03-16
10.1007/s40962-020-00521-3
article
EN
International Journal of Metalcasting
2020-09-22
10.1016/j.tca.2015.07.014
article
EN
Thermochimica Acta
2015-07-29
10.1007/s11661-013-2037-8
article
EN
Metallurgical and Materials Transactions A
2013-10-16
The Kampmann and Wagner numerical model was adapted in MATLAB to predict the precipitation growth of Al3Sc precipitates as a function starting concentration heat-treatment steps. This then expanded strengthening alloys using calculated average precipitate number density, radius, etc. calibration this achieved with Bayesian optimization, verified against experimentally gathered hardness data. An analysis outputs from code allowed development optimal heat treatments, which were validated...
10.3390/met12060975
article
EN
cc-by
Metals
2022-06-06
10.1007/s11661-018-4479-5
article
EN
Metallurgical and Materials Transactions A
2018-01-25
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