At present, ultrasonic cleaning technology has been widely used in various fields of industrial production. In order to gain a deeper understanding of the cleaning effect of ultrasonic cleaning technology on underwater accessories, this paper uses MATLAB to carry out ultrasonic field distribution and cavitation bubble dynamics simulation, and combines with the ultrasonic descaling mechanism, to design a set of ultrasonic cleaning device, and to assess the descaling effect of ultrasonic cleaning on Q345 alloy steel samples with different frequencies and different irradiation times. The experimental results show that when the input current is 6A and the irradiation time is 15 min, the descaling effect is best when the descaling rate reaches 0.58%.
Aiming at the problems of low detection efficiency and poor detection accuracy caused by different shapes and sizes of pill defects in the existing market, an improved YOLOv5s model is proposed. In this study, deformable convolution is introduced into CBS structure and combined with C3 module to enable the model to adaptively adjust the receptive field and more effectively approach the shape and size of the defect target. In addition, the Efficient Decoupled Head (EDH) is introduced to replace the YOLOv5s detection head, separating the positioning task and the classification task, and improving the detection accuracy and target coverage. The experiment on the pill dataset shows that the model proposed in this paper effectively improved the detection accuracy of pill defects. The model improved the accuracy of round crack and elliptical crack defects with large differences in size and shape by 1.9% and 3.0%, respectively. Compared with YOLOv5s, mAP@0.5 and mAP@0.5:0.95 reached 97.7% and 72.3%, respectively, which increased by 1.2% and 2.6%. Additionally, the model has a smaller model volume and faster inference speed.
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