Additive manufacturing process monitoring system based on multi-sensor coupling

Abstract

The invention belongs to the technical field of additive manufacturing, and particularly relates to a multi-sensor coupling based additive manufacturing process monitoring system. The multi-sensor coupling based additive manufacturing process monitoring system comprises a additive manufacturing processing module, a public optical module, a visible light optical module, an infrared optical module and an image fusion and analysis module; the public optical module comprises an off-axis reflector and a light splitting piece; the visible light optical module comprises a folding reflector, a visiblelight filter, a visible light lens and an industrial CCD; and the infrared optical module comprises an infrared optical filter, an infrared lens and an infrared camera. According to the multi-sensorcoupling based additive manufacturing process monitoring system, the multi-sensor monitoring means of infrared and visible light fusion imaging is utilized, the powder scraping cracks on the surface of the workpiece table and the microscopic defects generated in the processing process can be accurately monitored, so that favorable conditions are provided for the evaluation of the molding quality of the additive manufacturing part and the regulation and control of the process parameters.

Description

technical field [0001] The invention belongs to the technical field of additive manufacturing, and in particular relates to an additive manufacturing process monitoring system based on multi-sensor coupling. Background technique [0002] As a cutting-edge modern manufacturing technology, laser additive manufacturing technology can easily realize the rapid manufacture of complex metal parts. In the process of additive manufacturing, the quality of parts processing and molding is affected by multiple factors such as equipment system stability (gas environment, powder feeding, etc.), process parameters (laser power, scanning speed, processing layer thickness, etc.), raw materials, etc. These influencing factors Once it is not effectively controlled, defects such as holes, spheroidization, and cracks will be formed in the formed parts, and the quality of the processed parts cannot meet the actual use requirements. Therefore, in order to obtain high-quality additive manufacturin...

AI Technical Summary

Problems solved by technology

Simply using high-speed cameras, pyrometers and photodiodes can only monitor the state of the molten pool coaxially, and the camera lens must be very close to the workbench, and the observation field of view is extremely small, which cannot effectively monitor the entire workbench plane

Simply using an industrial camera can only monitor the information on the flatness of the powder during the powder coating to capture powder coating defects, while only using an infrared thermal imager can only capture the thermal field information when the layer-by-layer printing is completed and the accuracy is limited

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