Informatics based structure-property linkages for transverse strength of ceramic matrix composites
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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Dipen Patel, Craig Przybyla, Triplicane Parthasarathy, Daniel Rapking, and Michael Braginsky, "Informatics based structure-property linkages for transverse strength of ceramic matrix composites" in "Advanced Ceramic Matrix Composites: Science and Technology of Materials, Design, Applications, Performance and Integration", Yutaka Kagawa, Tokyo University of Technology, Japan Dongming Zhu, NASA Glenn Research Center, USA Ram Darolia, GE Aviation (retired), USA Rishi Raj, University of Colorado, Boulder, USA Eds, ECI Symposium Series, (2017). https://dc.engconfintl.org/acmc/49