Research and prospect of welding monitoring technology based on machine vision

Fan, Xian Guang; Gao, Xiangdong; Liu, Guiqian; Ma, Nvjie; Zhang, Yanxi

doi:10.1007/s00170-021-07398-4

Cited by 61 publications

(17 citation statements)

References 140 publications

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“…Real-time monitoring can avoid welding defects and improve welding quality. The monitoring results must be fed back to the control system immediately so that the control system can adjust the welding parameters in time, which means that the monitoring system needs to be accurate and efficient [75]. Because of the complexity of the laser welding, it is impossible to obtain the required useful information only by using a single sensor.…”

Section: Multi-signal Coupling Monitoringmentioning

confidence: 99%

Innovations in Monitoring, Control and Design of Laser and Laser-Arc Hybrid Welding Processes

Cheng

Ning

et al. 2021

Metals

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With the rapid development of high power laser, laser welding has been widely used in many fields including manufacturing, metallurgy, automobile, biomedicine, electronics, aerospace etc. Because of its outstanding advantages, such as high energy density, small weld size, easy automation. Combining the two heat sources of laser and arc for welding can achieve excellent results due to the synergistic effect. Laser welding is a complicated physical and chemical metallurgical process, involving the laser beam and molten pool, keyholes and materials melting, evaporation and multiple physical process. Process monitoring and quality control are important content of research and development in the field of laser welding, which is the premise to obtain fine weld with high quality. Numerical simulation technology can describe many complex physical phenomena in welding process, which is very important to predict weld forming and quality and clarify the underline mechanism. In this paper, the research progress of process monitoring, quality control and autonomous intelligent design of laser and laser-arc hybrid welding based on numerical simulation were reviewed, and the research hotspots and development trends of laser welding in the future are predicted.

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Section: Multi-signal Coupling Monitoringmentioning

confidence: 99%

Innovations in Monitoring, Control and Design of Laser and Laser-Arc Hybrid Welding Processes

Cheng

Ning

et al. 2021

Metals

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“…A stunning 96.3% success rate was achieved [55]. This method lends itself very well to mass production as machine vision can enhance efficiency and decrease inspection costs [56]. Used in combination with data analytics, it can be effective as well for personalized production in which inferences can be made from previous experiences.…”

Section: Image Processingmentioning

confidence: 99%

Development of an Intelligent Quality Management System for Micro Laser Welding: An Innovative Framework and Its Implementation Perspectives

Hoz

Cheng

2021

Machines

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Laser micro-welding manufacturers face substantial challenges in verifying weldment quality, as the industry and applications are requiring increasingly the miniaturization and compactness of products. The problem is compounded by new stringent demands for personalized products at competitive, low costs and the highest quality levels. High-pressure equipment manufacturers, in particular, rely on ISO 3834:2021 to assure and demonstrate best welding practices but also to manage risks associated with liability issues. ISO 3834:2021, like all conventional quality management systems, offers a one-dimensional, quasi-static overview of welding quality that may fail to deal with these new challenges and underlying complexities required to deal effectively with process variability. This paper presents a framework for welding companies to integrate horizontally their suppliers and customers with their processes and products, which are also integrated vertically in the context of Smart Manufacturing or Industry 4.0. It is focused on the development of a smart quality management system for intelligent digitization of all company manufacturing and business processes. Furthermore, an innovative data-based welding quality management framework is described for laser micro-welding applications and their implementation perspectives. The research is driven by an inductive methodology and based on a seamless integration of engineering-oriented heuristic and empirical approaches that is appropriate for intelligent and autonomous quality management, given the lack of research in this niche, but increasingly important topic area.

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“…Therefore, weld crack detection is an essential step in the production process and holds great significance for the reliability of metal connections. [1][2][3][4] Eddy Current Infrared Thermography is an effective visual non-destructive testing technique that combines electromagnetic induction heating with infrared thermography. Compared to traditional defect detection methods, infrared thermography offers the advantages of non-contact, fast detection speed, and graphical display of results, while the electromagnetic induction heating offers the advantages of fast, efficient and localized heating.…”

Section: Introductionmentioning

confidence: 99%