Aluminum/Copper dissimilar metal connection devices have been widely used in equipment manufacturing. Ultrasonic vibration assisted semi-solid brazing technology is beneficial to improve brazing quality by using the good flow ability and strong deformation resistance of brazing alloy when it is in a semi-solid state. In this study, a new ultrasound-assisted high-frequency induction brazing method was used to braze aluminum and copper dissimilar metals under non-vacuum conditions with non-prefabrication of brazing filler metal. In a short time, uniform semi-solid brazed joint was obtained. Detailed investigations on the effects of aluminum-substrate side (Abbreviated as Al side) heat dissipation rate and ultrasonic vibration duration on the microstructure evolution and mechanical properties of semisolid weld were conducted. The results show that the welding seam obtained by the modification method increases the microstructure uniformity of brazing joint.

With the development of new energy technology, new energy stations are becoming more intelligent and data-based, and cyber-attacks on new energy stations are increasing year by year. In response to the continuous threats brought by malicious traffic to the network of new energy stations, this paper researches on the traffic anomaly detection technology based on network communication characteristics. An adaptive abnormal traffic detection method for new energy stations based on HHT algorithm is proposed, which improves the efficiency of identifying abnormal network traffic and more accurately identifies network attacks against new energy stations. It is verified through experiments that compared with mainstream classifiers, the method studied in this paper can achieve adaptive detection while adaptively determining the threshold, and the detection accuracy can reach 95%, the false alarm rate is lower than other methods, it can provide more accurate identification results for new energy field station network cyber-attacks detection.

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