Method for predicting transverse connection morphology of weld beads in wire and arc additive manufacturing

Abstract

The invention provides a method for predicting the transverse connection morphology of weld beads in wire and arc additive manufacturing, and belongs to the technical field of robotic automated manufacturing. The method comprises the steps that first a single weld bead is welded on a substrate as a first weld bead, and the height and width of the first weld bead are measured; a parabola is used for fitting the cross-sectional morphology of the first weld bead to construct a parabolic model of the single weld bead cross section; then a second weld bead is welded, and the cross-sectional morphology of the second weld bead is predicted according to a tangential multi-bead model; then, the second weld bead is used as a new first weld bead, and the cross-sectional morphology of a new next weldbead is predicted; and a morphology prediction result of the transverse connection of the weld beads is obtained after all the weld beads are connected transversely. The prediction result has high degree of coincidence with the actual situation, the precision is high, and better transverse connection results of the weld beads can be obtained.

Description

technical field [0001] The invention proposes a method for predicting the shape of the transverse connection of weld beads in arc additive manufacturing, which can be applied in a robot additive manufacturing system and belongs to the technical field of robot automation manufacturing. Background technique [0002] Additive manufacturing is the process of obtaining data from a three-dimensional model, usually by stacking and stacking layers, and connecting materials to create objects. It has strong equipment versatility, simple process steps, short manufacturing cycle, complex parts can be manufactured, and material utilization rate High, low manufacturing costs and other advantages, suitable for small batches, flexible production mode of multiple varieties. The range of materials used in additive manufacturing is very wide, including polymers, metals, ceramics, sand, glass, biological materials, etc., among which the most commonly used materials are polymers and metals. Com...

AI Technical Summary

Problems solved by technology

However, according to the existing experimental observations, the critical value d proposed by this method critical A flat surface cannot be obtained, but it will cause the height of the newly deposited weld bead to be higher and higher, resulting in an unstable accumulation state

In other words, this traditional flat-top multi-channel model cannot accurately reflect the actual situation. If this model is used for actual manufacturing, the molding accuracy will not be guaranteed

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