Advances in sensing, manufacturing, computational sources, and data-driven strategies are enabling new approaches to electromagnetic sensing, non-destructive analysis, and superior supplies processing. This webinar will show how the COMSOL Multiphysics software program helps predictive modeling by coupling electromagnetic fields with thermal, chemical, mechanical, and transport phenomena throughout a number of size and time scales.
The primary software we are going to present focuses on eddy-current thermometry for reconstructing three-dimensional temperature fields in metallic plates. Temperature-dependent electrical conductivity alters induced currents and magnetic fields, enabling volumetric thermal inference. COMSOL simulations of defects and laser-induced transient heating will assist validation of reconstruction algorithms. Multifrequency excitation can be investigated to enhance depth discrimination by means of frequency-dependent penetration depths and sensitivities.
The second software examines microwave-enabled volumetric additive manufacturing of ceramic elements. A high-power microwave beamforming array delivers localized power into three-dimensional volumes, enabling processing of opaque, particle-laden resins. Coupled COMSOL fashions of electromagnetic propagation, microwave absorption, warmth switch, and ceramic sintering kinetics are used to foretell temperature evolution, response development, spatial decision, and processing scalability. Future extensions will incorporate pulsed excitation, fluid circulate, resin viscosity, convection, shrinkage, and strong mechanics.
Collectively, these examples show how the COMSOL software program can combine multiphysics modeling with sensing, manufacturing, and information inversion. This webinar will current two functions of coupled electromagnetic and thermal modeling in COMSOL Multiphysics: eddy-current thermometry in metallic plates and microwave-assisted processing of ceramic-loaded resins. By connecting simulation with sensible engineering techniques, COMSOL-based modeling can speed up expertise improvement, scale back experimental iteration, and assist dependable scale-up of next-generation electromagnetic applied sciences.
