Informatics based structure-property linkages for transverse strength of ceramic matrix composites

Conference Dates

November 5-9, 2017


Advances in informatics and machine learning have revolutionized entire economic segments including advertising, pharmaceuticals, and finance. Recently efforts have sought to apply these approaches in materials science to better understand processing-structure-property relationships for materials development, concurrent material and component design and accurate performance prognosis of material behavior in application environments. Here informatics approaches are employed to understand the influence of topology of BN coated continuous SiC fibers embedded in a SiC matrix or SiC/SiC ceramic matrix composites on transverse cracking strength.

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