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Other Components & Modules for Laser System

The laser's internal water-cooling air conditioner ensures stable operation, and the external optical path and welding head are sealed to guarantee normal function in temperatures up to 40°C. For dust, protective lenses and air knives provide isolation, so it is not a concern during normal use. However, for prolonged periods of disuse, the laser head should be protected to prevent dust from entering.

The full-vector optical field-controlled laser, with its excellent beam quality, 10MHz switching frequency, and freely defined spot shape, is ideal for welding various materials. It provides a stable welding process and superior quality for highly reflective materials like purple copper, high-porosity die-cast aluminum, common carbon steel and stainless steel, as well as various combinations of dissimilar materials.

The custom-defined spot range of the optical field-controlled laser can be up to 1mm, providing greater gap adaptability than conventional lasers within this defined spot range.

Welding parameters are a critical factor in laser welding, and the process is relatively dynamic. CP Laser provides a multi-parameter dynamic monitoring and closed-loop control solution that ensures stable welding quality even with non-constant welding processes.

The full-vector optical field-controlled laser's customizable spot shape and 10MHz switching frequency enable high-speed switching in the longitudinal direction of the spot. This optimizes the melt pool's flow field distribution, reducing the occurrence of defects like pores, cracks, and spatter.

Consumables in the laser welding process include protective lenses, shielding gas for the melt pool, and circulating cooling water for the laser and welding head. The cooling water is replaced approximately every three months, and the shielding gas consumption is lower than traditional welding methods like TIG welding (per meter of weld length). The overall consumable cost is low. With a suitable process, optical path design, and maintenance, protective lenses can last for several weeks, making their relative cost very low.

By using multi-sensor real-time monitoring of the welding process, our closed-loop inference system analyzes how process parameters affect welding outcomes. This optimizes the R&D process for adjusting welding parameters. What was once an experience-based process can now be transformed into a machine learning approach driven by neural network inference, significantly enhancing process R&D capabilities and efficiency.