Finite element division of the iron core and primary and secondary windings! A node current of 1A at 1000Hz was provided.
This is a case study of the magnetic flux density distribution, self-inductance, and mutual inductance analysis of a transformer composed of primary and secondary windings and a magnetic circuit (iron core) when excited. The software "PHOTO-EDDYTMjω" was used. A current of 1A at a frequency of 1000Hz was applied to the primary and secondary windings. Additionally, the number of nodes was 18,118, and the number of elements was 13,648, with the shape modeled as a three-dimensional full model. [Case Overview] ■ Software Used: PHOTO-EDDYTMjω ■ Analysis Conditions - Model using the iron core and primary and secondary windings - Applied a node current of 1A and 1000Hz to the primary and secondary windings *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.
