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Filtering by: Keyword High Entropy Alloys Keyword Machine Learning Subject Materials Science

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Description:: Recent developments have enabled L12-strengthened Co-based superalloys, which have thepotential to surpass Ni-based superalloys as the material of choice for the hottest sections of turbine blades due to cobalt’s 40 ºC higher melting point. The most-studied branch of Co-based superalloys are based on the L12 phase Co3(Al,W); however, there is...
Keyword:: Superalloys, Cobalt, Microstructure, Machine Learning, Creep, and High Entropy Alloys
Subject:: Materials Science
Creator:: Ohl, Brandon
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 05/31/2023
Date Created:: 2023-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_971014 and http://dissertations.umi.com/northwestern:16450

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