Excess weld metal and weld penetration collaborative prediction method based on molten pool image and deep residual error network

Abstract

The invention relates to an excess weld metal and weld penetration collaborative prediction method based on a molten pool image and a deep residual error network. The invention belongs to the technical field of image analysis. The trend of weld penetration and excess weld metal of future development of a weld joint can be accurately predicted, and the quality of welding can be improved. The methodcomprises the following steps of 1, restoring the change condition of the excess weld metal and the weld penetration in the length direction of a weld joint; 2, building an image processing frame; 3,determining a basic network; 4, determining the input end of the network; 5, determining the output end of the network; 6, evaluating the learning ability of the network; and 7, predicting the excessweld metal and the weld penetration through the network. According to the invention, through weld penetration and excess weld metal cooperative prediction based on a molten pool image and a deep residual network, the molten pool edge and internal details can be clearly observed, changes of the weld penetration and the excess weld metal in the weld forming process are monitored in real time, the trend of the weld penetration and the excess weld metal developed in the future can be accurately predicted, the method is suitable for different welding parameters and different weldments, and the welding quality is regulated and controlled in real time.

Description

technical field [0001] The invention relates to a collaborative prediction method for reinforcement and fusion depth based on fusion pool images and depth residual networks, and belongs to the technical field of image analysis. Background technique [0002] The image characteristics of the molten pool and the changes of the penetration and reinforcement of the weld have a decisive effect on the quality of the welding. On the cross-section of the weld, the melting depth of the base metal is called the penetration depth, which directly determines the bonding strength between the weld and the base metal, and also determines the bearing capacity of the weld to a large extent; The maximum height of that part of the weld is called the reinforcement, that is, the distance from the top of the weld to the line connecting the two welding toes. The reinforcement of the weld increases the cross-sectional area of ​​the weld and improves the static load carrying capacity. However, the re...

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Problems solved by technology

However, the reinforcement height causes stress concentration at the weld toe, and the ability of the weld to withstand dynamic loads decreases.

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