Recently, the 22nd IEEE Conference on Electromagnetic Field Computation (CEFC 2026) took place in Thessaloniki, Greece. This conference served as a pivotal platform for sharing cutting-edge theories, methodologies, and applications across a broad spectrum of topics, including electromagnetic field computation, electromagnetic modeling and simulation, electromagnetic measurement and testing, electric machines, and energy systems.
Chang Chao, a doctoral candidate specializing in Instrument Science and Technology at the School of Automation Engineering, University of Electronic Science and Technology of China, delivered an insightful academic presentation at the conference. His talk, titled "PyECSim: A Python Library for Automated Eddy Current Non-Destructive Testing Simulation," introduced PyECSim, an innovative automated simulation tool for eddy current non-destructive testing developed by his team.
Built on the robust foundation of Python, PyECSim offers a user-friendly, high-level simulation interface. It streamlines the process of sensor, specimen, and defect modeling within Ansys Maxwell 3D, along with the programmatic setup of materials, excitations, meshing, and solution processes. Furthermore, PyECSim seamlessly integrates with computational frameworks like PyTorch and NumPy, facilitating parameter scanning, optimization calculations, and batch simulations.
The research findings demonstrate that PyECSim can significantly reduce the volume of modeling code required, enhance 3D simulation efficiency by up to 18-fold or more, and automatically generate natural defect models along with an extensible defect sample library. This advancement lays a solid technical groundwork for the intelligent optimization of eddy current sensors, the development of digital twins, and AI-driven electromagnetic simulations.
Following his presentation, Chang Chao actively engaged in fruitful exchanges and discussions with participating experts and scholars. The topics of conversation spanned automated modeling for eddy current non-destructive testing, strategies for improving electromagnetic simulation efficiency, and the latest trends in intelligent electromagnetic simulation.