To understand the heat distribution and temperature distribution, magnetic field-thermal coupled analysis using the finite element method is effective!
This is an example of heating an entire cylindrical conductor by moving it and using induction heating. By passing through the center of a coil connected to an AC power source, eddy currents flow on the surface of the conductor, generating heat. The temperature rises from the surface, and heat is conducted inward. Due to the axisymmetric shape of this model, it can be analyzed using 2D axisymmetric analysis. Therefore, plate elements are used. To understand the heat generation distribution and temperature distribution inside the cylindrical conductor, a magneto-thermal coupled analysis using the finite element method is effective. [Case Overview] ■ Analysis Module: PHOTO - EDDYjω & THERMO *For more details, please refer to the related links or feel free to contact us.
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At Photon, we are developing "electromagnetic field analysis software" that models and simulates products and components utilizing electromagnetic phenomena on computers. In traditional design and development environments, the process has primarily revolved around trial and error through prototypes based on the experience of engineers and experiments with those prototypes. However, conducting experiments with actual prototypes and analyzing the results requires significant time and cost. Moving forward, transitioning from an experimental and prototype-based approach to an analysis-based design is a critical issue for improving productivity, and establishing simulation technology as the core of analysis-based design techniques is a challenge. In this context, Photon is developing and providing "analysis software" focusing on electromagnetic fields, as well as heat, vibration, and sound fields. By utilizing Photon’s software, efficient development and design of various industrial products can be achieved. In this way, Photon aims to reduce the number of prototypes and development costs, shorten development periods in the manufacturing sites of our users, and ultimately support the enhancement of our users' competitiveness.