In recent years, intelligent welding technology has emerged as a prominent focus within the
welding domain, amalgamating a diverse array of sophisticated technologies, including …

With the rapid development of vision sensing, artificial intelligence, and robotics technology,
one of the challenges we face is installing more advanced vision sensors on welding robots …

Abstract Tungsten Inert Gas (TIG) welding is a manufacturing process that utilizes argon as a
shielding gas and tungsten as an electrode to join metals at high temperatures. The weld …

With the ongoing progress of industrial technology such as shipbuilding, the importance of
weld quality in industrial production is becoming increasingly prominent. Intelligent and …

During laser welding of pure copper, instabilities such as violent molten pool oscillation,
large spatters, and melt ejection severely damage weld quality, which are caused by …

Seam tracking is a crucial feature that an automatic welding system must have. The laser
tracking algorithm offers high accuracy but faces challenges in identifying seams with …

Keyhole tungsten inert gas (keyhole TIG) welding is renowned for its advanced efficiency,
necessitating a real-time defect detection method that integrates deep learning and …

The saddle-shaped weld seam of the boiler header and tube-seat presents challenges such
as low efficiency, high labor intensity, poor post-welding consistency, and unstable quality …

Weld defect segmentation is crucial for realizing the defect rating of welded products and for
evaluating the welding quality. However, the existing methods cannot accurately segment …

In recent years, seam tracking has become a key focus in autonomous intelligent robotic
welding. Accurate detection and recognition of the weld seam are crucial for effective …