Online detecting and optimizing system for selective laser melting forming defect

Abstract

The invention belongs to the technical field of additive manufacturing and discloses an online detecting and optimizing system for a selective laser melting forming defect. The online detecting and optimizing system comprises a selective laser melting manufacturing platform, an image acquisition module and a processing module; the selective laser melting manufacturing platform comprises a supporting baseplate, a forming device and a laser scanning device; the image acquisition module comprises a three-axis motion platform and a CCD camera; and the processing module comprises an image processing module and an automatic process parameter adjusting module, and the image processing module comprises an image pre-processing module, an image threshold segmentation module, a neural network identifying and counting module and the automatic process parameter adjusting module. By using the online detecting and optimizing system, the surface defect condition of every layer of a part in a selective laser melting manufacturing process can be rapidly detected on line by using a machine vision technology and a digital image processing technology, and no human eye detection limitation exists, so that the accuracy of every defect detection is guaranteed.

Description

technical field [0001] The invention belongs to the technical field of additive manufacturing, and more specifically relates to an online detection and optimization system for defects in laser selective melting and forming. Background technique [0002] Selective laser melting (SLM) technology is a new type of laser rapid prototyping manufacturing process. This technology uses high-energy laser beams to melt metal powders and accumulate them layer by layer to directly manufacture high-performance complex metal parts. SLM technology breaks through the traditional ideas of deformation forming and removal forming in traditional manufacturing processes, and effectively solves the processing problems that cannot be completed by traditional processing technologies. It is especially suitable for those with special-shaped complex structures that cannot be manufactured by traditional processes such as forging, casting, and welding. Parts manufacturing does not require any fixtures an...

AI Technical Summary

Problems solved by technology

The shortcomings of the above three detection methods are that the defects of parts are identified by human eyes, the identification error is too large, and they cannot meet the requirements of online detection in industry

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