In high-tech industries such as new energy, aerospace, and automotive manufacturing, laser welding has become a critical process determining product performance. However, traditional quality control methods relying on manual visual inspection or destructive testing can no longer meet the stringent demands of modern manufacturing for efficiency, precision, and reliability. Lyric’s laser welding online inspection equipment emerges as the solution, offering accurate, efficient, and non-destructive monitoring capabilities to address these industry challenges.
Lyric's laser welding online inspection equipment captures arc light (including visible light, reflected laser light, and infrared light) generated during the welding process across the 400-1700nm wavelength range. Leveraging triple-channel spectral splitting technology, it enables precise real-time monitoring, identifying over 20 types of typical welding defects—such as defocusing, contamination, spattering, cold welds, gaps, material impurities, and power fluctuations, while providing visualized data curves and diagnostic results.
• Visible Light Channel (400-600nm): Real-time analysis of molten pool dynamics and morphology changes.
• Laser Reflection Channel (1030-1080nm): Continuous monitoring of power stability and focal point deviation.
• Infrared Channel (1200-1700nm): Detection of material absorption variations and surface contaminants.
Technical Parameters: The New Engine of Intelligent Manufacturing
Core technical parameters:
Response wavelength range: 400-1700nm
Luminous flux: 12.7mm
Sampling frequency: 0-100KHz
Supply voltage: 24V
Missed detection rate: 0
False detection rate: <0.5%
Market Pain Points: Solving Three Major Industry Problems
Uncontrollable quality
Traditional testing methods are backward and unable to feed back the welding status in real time. With a millisecond-level response mechanism, the system can detect abnormalities during the welding process and issue timely alarms, thus avoiding batch defects.
Persistently high costs
Destructive testing leads to massive material waste. The system realizes non-destructive testing, reducing quality inspection costs by over 60%.
Difficulty in closing the loop of process optimization
There is a lack of effective data to support process adjustments. The system supports aggregated analysis of historical data, automatically identifies trend changes, and assists engineers in precise parameter tuning.
As the new energy vehicle, photovoltaic, and aerospace industries demand higher welding quality standards, laser welding in-line inspection equipment is becoming a standard feature in smart factories. Choosing a truly effective online monitoring system is not just a technological upgrade—it’s a critical step for enterprises to gain a competitive edge in the era of intelligent manufacturing.