A Matlab-based method for detecting convex hull and sag defects in slm powder bed powder images

Abstract

The invention belongs to the technical field of selective laser melting matching related image detection, and discloses a MATLAB-based SLM powder bed powder image convex hull concave defect detection method, which includes: collecting the color image of the SLM powder bed powder, and importing it into In the MATLAB system as the detection image, and based on this MATLAB system, a series of preprocessing such as grayscale, grayscale expansion, sharpening filter and smoothing filter are performed on each detection image; continue to use the local threshold segmentation method in the MATLAB system to preprocess The final image is segmented, and the convex and concave areas are initially distinguished from the background area; the canny operator in the MATLAB system is used to perform image edge detection, thereby identifying and detecting the final convex and concave defects and giving position labels. Through the present invention, the function of the package library of the MATLAB system can be fully utilized, and the goal of automatic identification can be achieved efficiently and quickly, and the whole process is easy to control, has a high identification rate, and has the advantages of good robustness, good adaptability, and the like.

Description

technical field [0001] The invention belongs to the technical field of selective laser melting (Selective Laser Melting, SLM) related image detection technology, more specifically, relates to a method for detecting convex hull and depression defects of SLM powder bed powder image based on MATLAB, which can be better applied to The application occasions and process characteristics of SLM technology, and provide an accurate and fast identification scheme suitable for the convex and concave defects of the powder coating image. Background technique [0002] Since the invention of 3D printing technology at the end of the 20th century, 3D printing is rapidly penetrating into various industrial fields. Due to the characteristics of small size, high precision and low surface roughness of Selective Laser Melting (SLM) parts, it has unique advantages in the manufacture of metal parts with complex structures, so in metal additive manufacturing The field has a very important position, ...

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Problems solved by technology

The search found that there is still a lack of accurate and efficient identification schemes for the SLM process, especially the convex and concave defects combined with the powder bed powder image in the existing technology

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