In-situ quality comprehensive evaluation method for selective laser melting technology

Abstract

The invention discloses an in-situ quality comprehensive evaluation method for the selective laser melting technology. The in-situ quality comprehensive evaluation method for the selective laser melting technology comprises the following steps: S1, collecting laser radiation intensity data and a molten pool image in the selective laser melting process; S2, analyzing the laser radiation intensity data collected in the step S1 by using a laser radiation intensity data analysis system; S3, analyzing the molten pool image collected in the step S1 by using a convolutional neural network-based selective laser melting molten pool image analysis system; and S4, performing comprehensive evaluation on the in-situ quality of selective laser melting by combining analysis results of the step S2 and the step S3. The evaluation method disclosed by the invention is high in intelligent degree; meanwhile, mass data collected in the selective laser melting process are processed in real time, and the processing speed is high; the accuracy of the evaluation result based on mass data is high; technological parameters in the selective laser melting process can be conveniently adjusted in real time; the generation of defects can be well avoided or reduced; and therefore, the quality of selective laser melting products is greatly improved.

Description

technical field [0001] The invention relates to the technical field of metal additive manufacturing, in particular to a comprehensive evaluation method for in-situ quality of laser selective melting technology. Background technique [0002] Different from defects in casting and forging parts, metal additive manufacturing parts, especially parts manufactured by laser selective melting, have many unique defects, such as large porosity, poor fusion, and shape distortion. In the manufacturing process, the metallurgical parameters of the powder and the printing process are inseparable. Therefore, researchers must better understand the complex relationship between various processing parameters and product performance in metal additive manufacturing in order to achieve the purpose of reducing product defects and improving manufacturing quality. [0003] In order to understand the relationship between these parameters and the final manufacturing quality, scholars currently propose ...

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Problems solved by technology

[0005] At present, there is no complete set of methods for evaluating and analyzing laser emission intensity data and molten pool images in the process of additive manufacturing at home and abroad, and it is often necessary to manually process some in-situ quality evaluation and analysis of additive manufacturing. parameters to get the final analysis results, not only takes a long time, but also may have problems such as inaccurate analysis results caused by human factors

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