Designing a high frequency (HF) power transformer is a complicated task due to its multiple interrelation design procedures, large number of variables and other relevant factors. Traditional transformer design relies on manual paper work and personal experience, which requires engineering design man-hours and long delivery cycles. In this paper, a developed transformer computer design environment is addressed. It helps engineers to automatically model, simulate and optimize transformer design using an artificial neural network (ANN) algorithm and the finite element method (FEM), and delivers a reliable design result. By utilizing the proposed platform, an 8kW coaxial transformer is successfully designed, tested and manufactured. Index Terms-artificial neural network, finite element method, high frequency transformer, transformer design platform.

A substrate-integrated waveguide (SIW) cavitybacked antenna with two slots on top of the cavity has been proposed in this paper. The bowtie slot is the main radiator of the cavity and a rectangular slot close to the feed point has been etched (to add extra resonance to enhance the bandwidth of the antenna in the desired frequency range). Tuning the rectangular slot improved the fractional bandwidth to 8%. A 7.9 dBi peak gain and a steady beam over the entire bandwidth are achieved. The FTBR (front to back ratio) of the antenna is more than 20 dBi. A standard PCB producing process has been used in order to manufacture the proposed antenna on a single layer substrate.

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