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Develop a high-precision, non-contact detection technology capable of accurately characterizing the complex micro-gap 3D morphology of weld seams in challenging-to-weld materials and critical components. Establish a multi-source, heterogeneous, multi-band signal fusion sensing approach that integrates information from the weld pool and metal vapor during the welding process. Furthermore, achieve breakthroughs in the rapid, coordinated control of laser energy and material dynamics throughout welding, providing an integrated, intelligent solution that ensures comprehensive shape and property control for large-scale welding of complex components or long-range weld seam applications.
The Pailuo WMA series multi-functional welding monitoring system is suitable for laser welding field lens systems and galvanometer systems that can accommodate an optical splitting unit. It can also be configured for side-axis applications in laser spot-maintaining laser welding systems.
Multi-functional Laser Welding
Multi-degree-of-freedom systems capable of conducting welding experiments on complex joint types, such as shafts, plates, busbars, and motor stators. Optional configurations include 2D vision systems, 3D vision systems, 2D/3D visual data alignment systems, and specialized weld seam recognition systems. Optional integration of automatic visual inspection combined with automated welding systems, customizable to meet specific application needs.
Intelligent Monitoring for Resistance Welding
The resistance welding process monitoring system acquires parameters such as welding current, welding pressure, and electrode displacement via various sensors. Using intelligent models—including mechanism analysis and waveform comparison—the system determines whether the welding process is stable. If the operation deviates from the specified parameters, the system automatically triggers an alarm, providing both a monitoring method and data support for weld quality control.
Self-developed 3D camera (camera + built-in structured light) + self-designed mechanical mechanism—follow-up precision for the 3D camera comes in two types.
Intelligent Optimization During Welding
Using the ray-tracing method for finite element calculations of copper laser welding, combined with experimental observations, we obtained temperature field and melt volume data for copper weld spots under various conditions, including different defocus amounts, assembly gaps, and height differences. Additionally, leveraging the flat-wire motor laser welding test setup and a high-speed photography platform, we acquired data on large-particle spatter. Finally, we constructed a dataset correlating the assembly state of flat copper wires with optimized laser welding parameters, and developed a mapping model—based on machine learning algorithms—to predict weld bead formation and spatter behavior.
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Pai Luo Automation Equipment (Suzhou) Co., Ltd.
Address: No.73 Hengxinjing Road, Kunshan City, Suzhou City, Jiangsu Province
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