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Full-Text Articles in Mechanical Engineering
In Silico Analysis Of Advanced Processing Methods For Light-Weight Alloys Powders, Marjan Nezafati
In Silico Analysis Of Advanced Processing Methods For Light-Weight Alloys Powders, Marjan Nezafati
Theses and Dissertations
Light-weight Al and Mg-based metal-matrix nanocomposites (MMNCs) are lauded as one of the most promising structural materials for vehicle, military, and construction applications. These MMNCs are often synthesized using the powder metallurgy (PM) process under liquid nitrogen cryogenic environments to control the grain sizes. It is believed that proper incorporation of the nitrogen species into the bulk lattice during processing could strongly enhance the mechanical properties of MMNCs by forming N-rich dispersoids. In this work, using the density-functional theory (DFT), the adsorption, absorption and diffusion behavior of nitrogen molecule/atoms have been studied and related to t Al and Mg MMNC …
Evolution Of Mg Az31 Twin Activation With Strain: A Machine Learning Study, Andrew D. Orme
Evolution Of Mg Az31 Twin Activation With Strain: A Machine Learning Study, Andrew D. Orme
Undergraduate Honors Theses
Machine learning is being adopted in various areas of materials science to both create predictive models and to uncover correlations which reveal underlying physics. However, these two aims are often at odds with each other since the resultant predictive models generally become so complex that they can essentially be described as a black box, making them difficult to understand. In this study, complex relationships between microstructure and twin formation in AZ31 magnesium are investigated as a function of increasing strain. Supervised machine learning is employed, in the form of J-48 decision trees. In one approach, strain is incorporated as an …