Today, the increasingly complex external environment and the goal of building a harmonious society have put forward higher requirements for security check work. Traditional security inspection methods are facing enormous challenges. With the maturity of intelligent security technology, Intelligent security inspection has become a trend. Security check that requires both reasoning speed and accuracy, this paper proposes a lightweight target detection network, which takes YOLOX as the overall framework and Mobilenet-V3 as the backbone network. The effectiveness of the network is proved by the simulation experiment on the public data set OPIXray and can achieve a real-time computing speed of 87.7FPS.
Different laser powers and arc currents were used to conduct experimental studies on 4 mm thick stainless-steel plates in order to investigate the effects of welding process parameters on the formation of 304 stainless steel laser-MIG composite welds. To determine the ideal parameters for the weld seam formation and to create the appropriate numerical model, theoretical analysis and experimental verification of the weld seam were performed. The influence mechanism of the melt pool velocity field and fluid flow behavior is analyzed, as well as the influence of heat, mass, and momentum on the melt pool caused by the melt drop transition. The simulation results show that as the laser power is increasing, the weld depth of fusion increased, with P = 2.5kW for 4mm 304 stainless steel melting past the critical threshold. The mass, energy, and momentum caused by the melt droplet's transition behavior change the temperature and flow fields of the melt pool, and the melt droplet falling on part of the melt pool during the composite welding process would then cause extrusion on the wall of the small hole, affecting laser energy absorption by the melt pool and leading to unstable small hole depth.
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