Analysis was also conducted in the absence of a metal post! The analysis results at a frequency of 10.13 [GHz] are shown.
We will introduce a case study analyzing the frequency dependence of the reflection rate by placing metal posts that suppress the reflection of electromagnetic waves at 10 GHz. Impedance boundary conditions were set at the exit. The walls of the waveguide and the metal posts were treated as perfect conductors, and the input was provided as the TE10 electric field [V/m]. Additionally, an analysis was conducted for the case without metal posts for comparison. 【Case Overview】 ■ Software Used: PHOTO-WAVEjω ■ Analysis Conditions - Waveguide: WRJ-10 (22.9mm × 10.2mm) - The walls of the waveguide and the metal posts are perfect conductors - The input was provided as the TE10 electric field [V/m] - Impedance boundary conditions were set at the exit *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.