Work rolls experience significant mechanical and frictional loads, leading to wear and reduced lifespan. To address the high cost and long optimization cycles of conventional moving induction heating, a 2D axisymmetric magneto-thermal finite element model was developed for power-frequency conditions. The model discretizes continuous current into 20-second intervals and uses temperature-dependent B-H properties to capture magnetic variations. Incorporating roll translation velocity, key parameters at maximum surface temperature are dynamically assigned along the motion direction. Simulation validity was confirmed by field experiments, and critical parameters’ effects on thermal performance were studied. Results show that larger roll diameters increase surface temperature and subsurface high-temperature propagation, with minimal core temperature impact. Higher translation speeds reduce subsurface temperature and penetration depth, lower surface temperature, and shift the high-temperature region downward. These findings provide a theoretical basis for optimizing process parameters in work roll moving induction heating.
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Hao et al. (2026) studied this question.
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