Finite element division of the iron core and primary/secondary windings! A node current of 1A at 1000Hz was applied.
This is an introduction to a case study analyzing the magnetic flux density distribution, self-inductance, and mutual inductance 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 in three dimensions as a full model. [Case Overview] ■ Software Used: PHOTO-EDDYTMjω ■ Analysis Conditions - Model using iron core and primary/secondary windings - Applied a node current of 1A at 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 a computer. In traditional design and development environments, the process has primarily revolved around trial and error through prototyping based on the experience of engineers and experiments with prototypes. However, conducting experiments using actual prototypes and analyzing the results requires significant time and cost. Moving forward, transitioning from an experimental and prototyping-based approach to an analysis-based design approach will be a crucial challenge for improving productivity, and establishing simulation technology as the core of analysis-based design techniques will be essential. 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 support users in reducing the number of prototypes, lowering development costs, and shortening development periods in their manufacturing environments, ultimately enhancing their competitiveness.
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