62.5
József Pávó
Budapest University of Technology and Economics
József Pávó's research has significantly advanced the understanding and application of electromagnetic modeling techniques in materials science and non-destructive testing. By combining finite element simulation with circuit laws, Pávó developed new methods for analyzing coils made of twisted litz wire and detecting low-density magnetic nanoparticles. Their work also explored the use of eddy-current testing for inspecting ferromagnetic plates and identifying defects. Additionally, they contributed to the development of neural networks used in non-destructive testing and improved the accuracy of calculations for electromagnetically induced signals (ECT) in materials with cracks or thinning layers.