Kai Yao

Crack parameter inversion using an ultrasonic-magnetic fusion neural network

Crack defects in ferromagnetic components may lead to structural degradation and safety risks during manufacturing and service. Ultrasonic testing and magnetic memory testing have complementary advantages, but single-modality methods are often limited in quantitative crack parame...