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    Machine Learning Models for Creep Rupture Prediction of Inconel 617 

    Source: Journal of Pressure Vessel Technology:;2025:;volume( 147 ):;issue: 004:;page 41501-1
    Author(s): Haque, Mohammad Shafinul; Kadri, Zakai Al
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Creep rupture data are not always available at the desired temperature or stress levels, and performing creep tests can be both time-consuming and expensive. Creep rupture data from various sources are often combined for ...
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    DSpace software copyright © 2002-2015  DuraSpace
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