An infrared visual sensing detection approach for swing arc narrow gap weld deviation

Zhu, Jie; Wang, Jiayou; Su, Na; Xu, Guoxiang; Yang, Maosen

doi:10.1016/j.jmatprotec.2016.12.029

Cited by 46 publications

(12 citation statements)

References 13 publications

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“…Hung et al [25] proposed using machine vision techniques to assist the resharpening process of micro-drills, which make it possible to automatically obtain all required grinding parameters. In addition, many successful applications have been achieved in the welding domain [26][27][28].…”

Section: Machine Vision Applications In Manufacturingmentioning

confidence: 99%

Deterministic removal strategy for machine vision assisted scanning micro electrochemical flow cell

Guo

Qian

Reynaerts

2018

Journal of Manufacturing Processes

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Small cavities on a sliding surface can improve lubrication performance, which has been verified by many researchers. Electrochemical machining (ECM) is an effective way to fabricate this kind of small cavities on a large scale. When the diameter and the removal volume for the cavities are specified, it is still required to efficiently determine the appropriate machining parameters. This paper presents a machine vision based control system for an ECM variant: the scanning micro electrochemical flow cell (SMEFC). The aim of this system is to control the diameter of the cavity in real-time. With the assistance of machine vision, fast acquisition of the machining parameters for the specified diameter and the specified removal volume is possible. The system configuration is first explained in detail, including hardware and software configuration and the image processing algorithms. The latter are based on the Shi-Tomasi corner detector and are used for feedback control, stability and symmetry evaluation of the electrolyte droplet. For convenience, all of these functions have been integrated into a self-developed unified G-code interface. Furthermore, the theoretical explanation for controlling the machining process by vacuum gap (VG) tuning has been investigated through a two-phase flow simulation model, which revealed how the VG influences the shear rate and the pressure difference near the meniscus. Finally, a case study shows how to use the proposed strategy to get suitable machining parameters for a cavity with a diameter of 900 μm and a target removal volume of 0.03 mm 3 . This demonstrates the availability of a deterministic removal strategy.

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Section: Machine Vision Applications In Manufacturingmentioning

confidence: 99%

Deterministic removal strategy for machine vision assisted scanning micro electrochemical flow cell

Guo

Qian

Reynaerts

2018

Journal of Manufacturing Processes

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“…In narrow gap welding, the groove width and weld central position usually vary due to the groove processing error, assembling error and welding thermal deformation, which leads to uneven sidewall penetrations and inconsistent bead surface [ 15 , 16 , 17 ]. To avoid poor weld formation due to groove variation, several passive visual sensing detection methods have been proposed [ 18 , 19 , 20 , 21 , 22 ]. Yamazaki et al [ 18 ] used a CMOS camera to capture infrared images of the welding zone and detected the width and central position of the narrow gap laser welding groove using brightness distribution analysis, but it is difficult to adaptively determine a threshold for the gradient of the brightness distribution curve with the occurrence of laser plume and welding spatter.…”

Section: Introductionmentioning

confidence: 99%

Infrared Visual Sensing Detection of Groove Width for Swing Arc Narrow Gap Welding

Wang

et al. 2022

Sensors

Self Cite

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To solve the current problem of poor weld formation due to groove width variation in swing arc narrow gap welding, an infrared passive visual sensing detection approach was developed in this work to measure groove width under intense welding interferences. This approach, called global pattern recognition, includes self-adaptive positioning of the ROI window, equal division thresholding and in situ dynamic clustering algorithms. Accordingly, the self-adaptive positioning method filters several of the nearest values of the arc’s highest point of the vertical coordinate and groove’s same-side edge position to determine the origin coordinates of the ROI window; the equal division thresholding algorithm then divides and processes the ROI window image to extract the groove edge and forms a raw data distribution of groove width in the data window. The in situ dynamic clustering algorithm dynamically classifies the preprocessed data in situ and finally detects the value of the groove width from the remaining true data. Experimental results show that the equal division thresholding algorithm can effectively reduce the influences of arc light and welding fume on the extraction of the groove edge. The in situ dynamic clustering algorithm can avoid disturbances from simulated welding spatters with diameters less than 2.19 mm, thus realizing the high-precision detection of the actual groove width and demonstrating stronger environmental adaptability of the proposed global pattern recognition approach.

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“…It has been widely used in medium and thick steel plates. It is an effective method for welding rotor steel [ 15 , 16 ].…”

Section: Introductionmentioning

confidence: 99%

Effect of 580 °C (20 h) Heat Treatment on Mechanical Properties of 25Cr2NiMo1V Rotor-Welded Joints of Oscillating Arc (MAG) Narrow Gap Thick Steel

Qian

Hou

et al. 2021

Materials

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The thick plate narrow gap welding of 25Cr2NiMo1V rotor steel is achieved by metal active gas arc welding, in which the weld gap was 18.04–19.9 mm. After welding, the weldment was heat treated at 580 °C (20 h). The impact and tensile properties in the as-welded and heat-treated were studied. The results show that after heat treatment, the coarse carbides in the center of the weld were transformed into fine granular carbides distributed along the grain boundaries, and the quantity of carbide precipitates in the weld near the fusion line was reduced. The tensile fracture mode changed from a ductile fracture to a combination of brittle and ductile fractures, and the tensile strength of the weld metal changed from 605 MPa to 543 MPa. After heat-treated, the radiation zone of the weld center changed from a brittle fracture to a combination of brittle and ductile fractures, and the impact energy changed from 141 J to 183 J; the characteristics of the brittle fracture in the radial zone of the fusion line were more obvious, and the impact energy changed from 113 J to 95 J. Therefore, after heat treatment, the toughness of the welded metal was improved, without reducing the strength and hardness of the welded metal to a large extent.

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An infrared visual sensing detection approach for swing arc narrow gap weld deviation

Cited by 46 publications

References 13 publications

Deterministic removal strategy for machine vision assisted scanning micro electrochemical flow cell

Deterministic removal strategy for machine vision assisted scanning micro electrochemical flow cell

Infrared Visual Sensing Detection of Groove Width for Swing Arc Narrow Gap Welding

Effect of 580 °C (20 h) Heat Treatment on Mechanical Properties of 25Cr2NiMo1V Rotor-Welded Joints of Oscillating Arc (MAG) Narrow Gap Thick Steel

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