Prediction method of seam penetration of underwater wet welding based on grey relational analysis

Abstract

The invention provides a method for predicting the weld depth of underwater wet welding based on grey relational analysis. Measure to obtain sample data; Step 2: Select welding parameters with a high degree of influence on the penetration depth of underwater wet welding based on the grey relational analysis method; Step 3: Perform regression analysis on the sample data to establish the underwater wet welding seam Prediction model of penetration; Step 4: Analyze the established prediction model to verify the rationality of the model. According to the predicted penetration depth, the present invention obtains suitable welding parameters, thereby improving the welding process, saving manpower and material resources, and can effectively guide the actual underwater welding process.

Description

technical field [0001] The invention relates to a method for predicting the penetration depth of underwater wet welding seam based on grey relational analysis, and belongs to the field of arc welding. Background technique [0002] At present, underwater wet welding has obvious advantages in underwater engineering construction due to its wide application range and low cost. The geometric dimensions of underwater wet welding have a great impact on the mechanical properties of underwater welded structures. Predicting the geometric dimensions of underwater wet welding can guide the formulation of underwater welding process parameters. However, the underwater welding process involves more complex physical and chemical changes, and the factors affecting the welding process are also more complicated. Direct research will take a lot of time and cost. Therefore, a method is needed to simplify the parameters of underwater wet welding. The prediction model of the weld penetration of u...

AI Technical Summary

Problems solved by technology

However, the underwater welding process involves more complex physical and chemical changes, and the factors affecting the welding process are also more complicated. Direct research will take a lot of time and cost. Therefore, a method is needed to simplify the underwater wet welding parameters. Establish a prediction model for underwater wet welding weld penetration to optimize welding process parameters and guide the formulation of underwater welding process parameters

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