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Keywords: microstructure property relationships
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Journal Articles

Experimental Validation of Analytical Predictions for the “Deviant” Density of Oleo-Nanofluids Based on the nanoFin Effect

Ritwik Bhattacharya, Jonghyun Lee, Anindito Sen, Debjyoti Banerjee
Journal: ASME Open Journal of Engineering
Publisher: ASME
Article Type: Research Papers
ASME Open J. Engineering. January 2024, 3: 031014.
Paper No: AOJE-24-1041
https://doi.org/10.1115/1.4065511
Published Online: May 30, 2024
... microstructure property relationships microsystems microtechnology microtexture miniaturization minimally invasive devices mixed convection multi-scale modeling multiphase flow multiphase flow characterization and analysis multiphase flows multiphysics modeling and simulation multi-scale modeling...
View Articletitled, Experimental Validation of Analytical Predictions for the “Deviant” Density of Oleo-Nanofluids Based on the nanoFin Effect
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Topics: Density, Nanofluids, Nanoparticles, Fluids, Water
Journal Articles

Manufacturing Strategies to Mitigate Deformation Twinning in Magnesium

Shelby Rustom, YubRaj Paudel, Shiraz Mujahid, Matthew Cagle, Prathmesh Anantwar, Kavan Hazeli, Robert Moser, Bhasker Paliwal, Hongjoo Rhee, Haitham El Kadiri, Christopher D. Barrett
Journal: ASME Open Journal of Engineering
Publisher: ASME
Article Type: Research Papers
ASME Open J. Engineering. January 2023, 2: 021001.
Paper No: AOJE-22-1061
https://doi.org/10.1115/1.4056553
Published Online: January 5, 2023
... modeling material performance and applications materials metallic materials microstructure microstructure property relationships Magnesium (Mg) and its alloys have the potential to be promising engineering platform materials due to their high strength-to-weight and stiffness-to-weight ratios...
View Articletitled, Manufacturing Strategies to Mitigate Deformation Twinning in Magnesium
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Topics: Deformation, Magnesium (Metal), Plating, Twinning, Nucleation (Physics), Stress, Magnesium alloys, Manufacturing, Ductility
Journal Articles

Temperature Regimes and Chemistry for Stabilizing Precipitation Hardening Phases in Al–Sc Alloys: Combined CALPHAD–Deep Machine Learning

Rajesh Jha, George S. Dulikravich
Journal: ASME Open Journal of Engineering
Publisher: ASME
Article Type: Research Papers
ASME Open J. Engineering. January 2022, 1: 011021.
Paper No: AOJE-21-1070
https://doi.org/10.1115/1.4054368
Published Online: May 9, 2022
...) Kampmann–Wagner Numerical (KWN) approach‌ artificial intelligence/machine learning data-driven design design of engineered materials system innovative material synthesis and manufacturing methods metallic materials microstructure property relationships Aluminum is one of the most abundant...
View Articletitled, Temperature Regimes and Chemistry for Stabilizing Precipitation Hardening Phases in Al–Sc Alloys: Combined CALPHAD–Deep Machine Learning
Open the PDF for Temperature Regimes and Chemistry for Stabilizing Precipitation Hardening Phases in Al–Sc Alloys: Combined CALPHAD–Deep Machine Learning in another window
Topics: Alloys, Temperature, Simulation, Heat treating (Metalworking)