Online detection and control system for fusion depth in additive manufacturing process

Abstract

The invention discloses an online detection and control system for the fusion depth in the additive manufacturing process. According to the online detection and control system, a part to be welded iswelded through a welding assembly according to the technological parameters; a processing module receives the infrared image of a molten bath acquired by an infrared image acquisition device and carries out image processing on the image of the molten bath so as to obtain the maximum temperature difference of a molten bath part between the fusion width direction and the fusion depth direction; a theoretical fusion depth calculation model is established, and calculation parameters are input into the theoretical fusion depth calculation mode so as to obtain the theoretical fusion depth; the theoretical fusion depth and the maximum temperature difference between the fusion width direction and the fusion depth direction are input into a trained artificial neural network, and the actual fusion depth is output by the artificial neural network; and the difference value between the actual fusion depth and the preset required fusion depth is calculated, when the difference value exceeds a presetrange, the technological parameters are adjusted according to the difference value, and then a next part to be welded is welded. The online detection and control system has the advantages that onlinereal-time detection of the welding fusion depth can be realized, the welding fusion depth can be controlled on line in real time, intelligent additive manufacturing can be realized, and the automation degree is high.

Description

technical field [0001] The invention relates to the field of welding penetration detection and control, in particular to an online detection and control system of additive manufacturing penetration. Background technique [0002] The concept of additive manufacturing began in the late 1980s, and my country began to study it in the early 1990s. After just over 20 years, this technology has achieved rapid development, and has broad application prospects in many fields such as aerospace, micro-nano manufacturing, and biomedical engineering. The penetration depth in arc additive manufacturing is an important parameter related to welding quality. Research on online real-time control of penetration is of great significance for the development of automation and intelligence in additive manufacturing. [0003] An ultrasonic phased array method for measuring U-rib weld penetration and an ultrasonic penetration detection system disclose methods for detecting weld penetration using ul...

AI Technical Summary

Problems solved by technology

[0003] An ultrasonic phased array method for measuring U-rib weld penetration and an ultrasonic penetration detection system disclose methods for detecting weld penetration using ultrasonic waves, but ultrasonic detection requires contact between the device and the workpiece, which affects the dimensional accuracy of the product; At the same time, as the position of the welding seam moves, the device also needs to move, which makes it difficult to achieve process synchronization and intelligent manufacturing

A weld penetration detection method discloses a method for detecting penetration using changes in magnetic induction signals, which is difficult to use for high-temperature weld detection

[0004] At present, there is no system that can detect and control weld penetration in real time online

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