Conference on Artificial Intelligence in Materials Science and Engineering - AI MSE 2023
Lecture
22.11.2023
Advanced characterization of hot stress corrosion cracking in CMSX-4 turbine blade alloys using deep learning-assisted 3D X-ray microscopy to reveal fracture and crack arrest mechanisms
RM

Dr. Ria Mitchell

Carl Zeiss X-ray Microscopy Inc.

Mitchell, R. (Speaker)¹; Bale, H.¹; Castelluccio, G.²; Elsherkisi, M.²; Holwell, A.¹
¹ZEISS Microscopy, Cambourne (United Kingdom); ²Cranfield University
Vorschau
24 Min. Untertitel (CC)

X-ray microscopy (XRM) has revolutionized materials characterization with impressive details and resolution. However, materials responses depend on myriads of attributes that cannot be entirely characterized by a single instrument or microscope. Thus, computational modelling can complement experimental efforts by providing estimations of attributes (e.g., stress) concurrent with the material characterization.

Abstract

Abstract

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