High-precision weld shape prediction method suitable for myriawatt laser welding

Abstract

The invention discloses a high-precision weld joint morphology prediction method suitable for myriawatt-level laser welding, and aims to solve the problem that the weld joint morphology prediction precision of myriawatt-level laser welding is low due to the fact that a weld pool and plume coupling behavior cannot be considered in an existing weld joint morphology prediction method. According to the method, a compressible two-phase flow numerical calculation method based on pressure is adopted to solve the coupling behavior of the molten pool and plume, and therefore high-precision prediction of the myriawatt-level laser welding seam morphology is achieved. Firstly, a welding seam morphology function and welding parameters at the initial moment are input; secondly, a compressible two-phase flow numerical calculation method based on pressure is adopted to obtain a welding seam morphology function at the next moment; and drawing a welding seam morphology function at the next moment, and extracting welding seam morphology and welding seam morphology characteristics. Compared with an existing weld joint morphology prediction method, the weld pool and plume coupling behavior in myriawatt-level laser welding can be accurately calculated, the algorithm is simple and easy to implement, the calculation efficiency is high, the physical conservation is good, and high-precision prediction of the myriawatt-level laser welding weld joint morphology can be achieved.

Description

technical field [0001] The invention relates to a high-precision welding seam shape prediction method suitable for 10,000-watt laser welding, which belongs to the field of welding seam shape prediction methods. Background technique [0002] The shape of the weld seam is a key factor determining the forming quality and forming efficiency of the 10,000-watt laser welding. Accurately predicting the shape of the weld can effectively reduce the 10,000-watt laser welding process experiment, reduce the experiment cost, and improve the R&D and production efficiency of the enterprise. [0003] At present, the welding seam morphology prediction mainly adopts the numerical simulation method. However, in the 10,000-watt laser welding process, the plume will generate a high-speed flow (the Mach number is close to or even greater than 1) to form a compressible characteristic. This characteristic will cause significant changes in the plume pressure field (the maximum pressure difference ...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem of low weld seam shape prediction accuracy in 10,000-watt laser welding, the present invention proposes a high-precision weld seam shape prediction method suitable for 10,000-watt laser welding

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