Additive manufacturing structured light loopback detection method and device, electronic equipment and storage medium

Abstract

The invention provides an additive manufacturing structured light loopback detection method and device, electronic equipment and a storage medium, and belongs to the field of additive manufacturing detection. The method comprises the steps that a structured light measurement system is used for obtaining a substrate point cloud and all frame point clouds of the surface of an object subjected to additive manufacturing in the additive manufacturing process to form a point cloud frame sequence; key frame point clouds are extracted from the point cloud frame sequence to form a key frame sequence; and plane loopback optimization registration is carried out on the key frame sequence, and the registered key frame sequence forms a point cloud model of the object for additive manufacturing. The method and device have good performance in the aspects of actual measurement, point cloud registration, model generation and the like, meet the requirements of efficient and high-precision complete point cloud model generation, and have good industrial value.

Description

technical field [0001] The present disclosure belongs to the field of additive manufacturing inspection, and in particular relates to a method, device, electronic device and storage medium for additively fabricated structured light loopback inspection. Background technique [0002] Additive manufacturing (AM), or 3D printing, is a new generation of industrial manufacturing technology that obtains processing data from three-dimensional (3D) information, and forms workpieces by stacking layers of manufacturing materials. Since the additively manufactured parts are obtained from the accumulation of materials, the quality of the surface of the material accumulation cannot be highly guaranteed during actual production and processing. At the same time, it is affected by hardware equipment, production methods, etc., resulting in the three-dimensional information of the additively manufactured parts on the surface. There may be some errors. Therefore, the three-dimensional inspecti...

AI Technical Summary

Problems solved by technology

These redundant information will consume a lot of time and computing resources, and have a significant negative impact on measurement efficiency;

[0007] 2. Lack of complete 3D point cloud models of high-quality complex additive manufacturing parts

Although the registration error between two point clouds is small enough in continuous registration, from a global perspective, the resulting complete model may still have registration residuals, which do not meet the requirements of high precision and rationality, resulting in the failure of 3D quality detection. The accuracy is affected, and the test results are not convincing;

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