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Online diagnosis method for welding defects in laser powder-adding welding process of galvanized steel based on characteristic element plasma optical signal

A technology of plasma and characteristic elements, applied in laser welding equipment, welding equipment, thermal excitation analysis, etc.

Active Publication Date: 2011-05-11
HUNAN UNIV
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Problems solved by technology

[0004] The above studies have used various methods to detect the welding process, but there is no literature on special welding defects in the laser powder welding process of galvanized steel, such as porosity

Method used

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  • Online diagnosis method for welding defects in laser powder-adding welding process of galvanized steel based on characteristic element plasma optical signal
  • Online diagnosis method for welding defects in laser powder-adding welding process of galvanized steel based on characteristic element plasma optical signal
  • Online diagnosis method for welding defects in laser powder-adding welding process of galvanized steel based on characteristic element plasma optical signal

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Embodiment Construction

[0033] This embodiment adopts as image 3 The shown test device includes a workbench, a galvanized steel 1 fixed on the workbench; a welding head 2 is arranged directly above the welding part of the galvanized steel 1, and a focusing lens is arranged in the welding head 2. A reflector at an angle to the horizontal direction is arranged above the welding head 2, and a plurality of photosensitive sensors 4 are arranged on the side of the welding part of the galvanized steel 1, and the photosensitive sensors 4 are connected with an optical fiber for storage and display collection. The computer 5 of the plasma light signal is connected. The laser beam is focused and irradiated vertically on the surface of the workpiece by the output of the corresponding laser, and the focus position is on the surface of the material. The workbench is controlled by the corresponding CNC machine tool. Laser welding of galvanized steel is a welding arrangement in the form of lap joints, the thickne...

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Abstract

The invention discloses an online diagnosis method for welding defects in laser powder-adding welding process of galvanized steel based on a characteristic element plasma optical signal, comprising the following steps: welding the galvanized steel with a focused laser beam; simultaneously, adding copper powder at a welding part in the welding process; acquiring the characteristic element plasma optical signal in the laser powder-adding welding process of the galvanized steel by a photosensitive sensor; implementing online monitoring on types of the characteristic elements of the plasma generated by ionization of materials in the welding process and additive amount m of corresponding characteristic elements according to variation of the characteristic element plasma optical signal; and finally, obtaining relation between the characteristic element plasma optical signal and the welding defects. In the method, properties of the characteristic elements to the plasma optical signals are analyzed so as to judge whether the welding defects are generated and the generation time on line in real time, and the method can be used for online monitoring of defects in the laser welding process in practical production, and laying the foundation for online quality control of following laser welding processes.

Description

technical field [0001] The invention relates to the field of online diagnosis of welding defects in the laser welding process, in particular to an online diagnosis method for welding defects in the process of laser powder-added welding of galvanized steel based on characteristic element plasma optical signals. Background technique [0002] my country's Duan Aiqin and others used high-speed camera and optical signal monitoring to conduct in-depth research on the dynamic process of plasma and its influence on welding stability. It is proposed that the change of plasma is divided into four stages in each cycle, and the root cause of welding stability is the fluctuation of plasma between penetration and non-penetration. In addition, two real-time identification methods for unstable perforation process are proposed, which are the infrared signal measurement of the back melt pool and the fusion of multi-sensor signals from the front. Using these two discrimination methods to judg...

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Application Information

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IPC IPC(8): B23K26/00G01N21/71B23K26/21
Inventor 张屹陈根余李时春周惦武张海荣
Owner HUNAN UNIV
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