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Kuiying Chen

Adjunct Research Professor

Dr. Kuiying Chen’s Research Focuses on Three Areas:

  1. Multi-physics modelling and simulation of high-temperature protective coatings of hot-section components in both aero and gas turbine engines. The coatings include thermal barrier, oxidation-corrosion resistant, and environmental barrier coatings. The modelling and simulation include delamination, spallation and failure analysis; fatigue lifetime prediction under thermal cycles. The modelling also covers coating sintering and viscoelastic/viscoplastic behaviour. The modelling tasks involve total-energy density functional theory calculations, continuum mechanics via numerical and analytical approaches, and phase-field and cohesive zone methods.
  2. High-temperature interface fracture mechanics for intermetallic materials, ceramics and superalloys. At the atomistic, micro and continuum scales, the theory and modelling focus on dislocation nucleation, crack initiation, and propagation. The work also considers material creep, oxidation, and fatigue life estimation under adverse environmental conditions.
  3. Machine learning/Deep learning applications in high-temperature protective coatings, intermetallic materials, ceramics and superalloys. Deep learning focuses on coatings and materials defect detection and image evaluation. Physics-informed neural network (PINNs) combined with multi-physics methodology to materials thermal, mechanical behaviour, damage and failure analysis.