Defect detection method and system for metal three-dimensional lattice structure

Abstract

The invention relates to a defect detection method and system for a metal three-dimensional lattice structure. The method comprises the following steps: acquiring a sectional image of a metal three-dimensional lattice structure; performing feature extraction on the tomographic image by adopting a feature extraction network in a darknet-53 network model to obtain multi-scale prediction informationcorresponding to the tomographic image; determining a defect category corresponding to each prediction frame according to the prediction information; according to the clustering center in the darknet-53 network model, correcting the position information of each prediction box by using a yolol layer to obtain the actual position of each prediction box; determining a final prediction box by adoptingan NMS algorithm according to the actual position of the prediction box; and determining the position and the defect type of the defect in the metal three-dimensional lattice structure according to the final prediction box. The method can be suitable for a metal three-dimensional lattice structure, and then the defect detection accuracy is improved.

Description

technical field [0001] The invention relates to the field of defect detection, in particular to a defect detection method and system of a metal three-dimensional lattice structure. Background technique [0002] Metal three-dimensional lattice materials not only have the characteristics of high porosity, but also have excellent properties such as light weight and high strength, explosion resistance and impact resistance, efficient heat dissipation and heat insulation, and absorption of electromagnetic waves and sound. This material is often used in aerospace and industrial equipment manufacturing through additive manufacturing. During additive manufacturing, the material is heated to a molten state and then cooled and formed layer by layer. However, the rapid solidification of the material from the molten state will generate a large amount of residual stress, which will cause structural warpage, cracks, faults and other defects. These defects affect the safety and reliabilit...

AI Technical Summary

Problems solved by technology

[0004] However, the traditional algorithm can work well for regular defects and relatively simple scenes, but it is no longer suitable for metal 3D lattice structures with inconspicuous features and similar defects and backgrounds.

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