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For deep penetration laser welding, the use of optical sensors to detect the signal characteristics of the plasma and reflected laser during welding is a simple and effective method of real-time detection of the welding process. At present, the method for detecting the plasma or the reflected light in the welding process by using the photocell is mainly performed from the side of the workpiece or in the same direction as the laser. As for the choice of optical sensors, there are three different band sensors available for laser welding process detection. For example, the UV band sensor is used for plasma detection during CO2 laser welding, and the visible band sensor is used for detection of plasma or metal vapor plume during CO2 and Nd:YAG laser welding. The infrared band is used for Nd:YAG laser welding. Testing. Up to the present time, the relationship between the detected optical signal and the laser welding parameters, such as the focus position, has been well studied and applied; in addition, optical sensors have been used to detect defects in the laser welding process, such as burn-through or holes. Detection of hump-like surface defects has also been reported.
One of the keys to the automation of laser welding monitoring is the real-time monitoring of the bath. Therefore, the selection of tracking sensors has become a crucial prerequisite. Among all the sensors, the optical sensor has high sensitivity and measurement accuracy, good dynamic characteristics, no contact with the workpiece, and large amount of information contained therein. It becomes the fastest-developing tracking sensor, and the CCD (Charge-coupled Device) The use of integrated optics in the device also allows the optical sensor to rise to a new level of video sensing. One of the advantages of laser welding is that the welding speed is fast, and the welding speed of the thin plate can reach 10m/min or more. In the high-speed continuous welding process, if a welding defect occurs, it will cause a large amount of waste products in a very short time. Achieving on-line laser welding quality monitoring is a very important part of quality assurance. The signal processing and feedback control system designed by Huazhong University of Science and Technology (S&T) performs A/D conversion by amplifying, filtering, and comparing the signals taken by acoustic and optical sensors. Then, the digital signal is processed by a microcomputer and the like, and the process parameters such as laser output power, welding speed, and defocus amount are controlled to achieve the optimum number of processes. To solve the penetration problem, the basic premise is to detect and control the laser welding process in real time and extract the characteristic signal of the laser welding. In the past ten years, research institutes at home and abroad have mainly focused on the extraction of acoustic, optical, electrical and thermal information generated by photo-induced plasma during welding, and analyzed and processed to find characteristic signals. In the laser welding of filler wire, the gap width of the butt welding gap of the laser filler wire welding is the main parameter. In order to ensure a good and uniform forming of the whole length of the slit, a high-precision laser welding of the filler wire laser is achieved, and a high-precision gap detection sensor is developed. Made from high quality wire feeding control system.
One of the keys to the automation of laser welding monitoring is the real-time monitoring of the bath. Therefore, the selection of tracking sensors has become a crucial prerequisite. Among all the sensors, the optical sensor has high sensitivity and measurement accuracy, good dynamic characteristics, no contact with the workpiece, and large amount of information contained therein. It becomes the fastest-developing tracking sensor, and the CCD (Charge-coupled Device) The use of integrated optics in the device also allows the optical sensor to rise to a new level of video sensing. One of the advantages of laser welding is that the welding speed is fast, and the welding speed of the thin plate can reach 10m/min or more. In the high-speed continuous welding process, if a welding defect occurs, it will cause a large amount of waste products in a very short time. Achieving on-line laser welding quality monitoring is a very important part of quality assurance. The signal processing and feedback control system designed by Huazhong University of Science and Technology (S&T) performs A/D conversion by amplifying, filtering, and comparing the signals taken by acoustic and optical sensors. Then, the digital signal is processed by a microcomputer and the like, and the process parameters such as laser output power, welding speed, and defocus amount are controlled to achieve the optimum number of processes. To solve the penetration problem, the basic premise is to detect and control the laser welding process in real time and extract the characteristic signal of the laser welding. In the past ten years, research institutes at home and abroad have mainly focused on the extraction of acoustic, optical, electrical and thermal information generated by photo-induced plasma during welding, and analyzed and processed to find characteristic signals. In the laser welding of filler wire, the gap width of the butt welding gap of the laser filler wire welding is the main parameter. In order to ensure a good and uniform forming of the whole length of the slit, a high-precision laser welding of the filler wire laser is achieved, and a high-precision gap detection sensor is developed. Made from high quality wire feeding control system.
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