PhD scholarship in 'Structures and Materials': Defect Analysis and Fatigue Life Prediction in Additively Manufactured Alloys using Machine Learning

This PhD scholarship project aims to develop an innovative fatigue damage model that incorporates detailed defect characteristics using machine learning and multiscale modeling for additively manufactured aerospace metal alloys. The project will deploy artificial intelligence and deep learning to evaluate structural integrity and predict fatigue life of additively manufactured aerospace metal alloys. High-resolution X-ray computed tomography (CT) will be employed to observe and quantify the dynamic changes of defects in AM Ni-based alloys with varying porosities and printing orientations during fatigue testing. The scholarship is offered through RMIT University's School of Engineering and is valued at $33,826 per year.