Plastic Laser Welding Series
Quasi-Synchronous Laser Welding Machine Fully Transparent Plastic Laser Welding Machine Trajectory-Type Laser Plastic Welding Machine Ultra-High-Speed Synchronous Laser Welding Rotary-Head Plastic Welding Machine Reflective Laser Plastic Welding Machine
Metal Laser Welding Series
Composite Metal Welding Pulsed Laser Welding Machine Customized Metal Welding Machine Robotic Laser Welding Workstation Galvo Laser Welding Machine
Defect Inspection Series
Full-Weld Light-Transmittance Tester Desktop Light-Transmittance Tester Post-Laser Welding Inspection Equipment Visual Defect Detection Equipment Hermeticity Tester
Industry Solutions
Sealing of Vehicle-mounted Actuators Automotive Flat-Tube Joint Laser Welding Corrugated-Tube Joint Laser Welding Tubing Joint Assembly & Push-In Connection Multi-Function Laser Welding Station Complex-Geometry Tube Laser Welding Medical Microfluidic Laser Welding Medical Glovebox Hermetic Laser Welding Fuel Accumulator Box Laser Welding Thermal Management Integrated Valve Laser Welding
Custom Intelligent Equipment
Photonics Module Series
Semiconductor Laser Welding Head Ultrasonic Detection Module High-Speed Infrared Thermometer Laser Power Detection Module Laser Welding Process Quality Monitoring System Modular Direct Diode Laser (DDL) Direct Diode Laser

Laser Welding Process Quality Monitoring System

Monitor the quality of the welding process in real time, detect the spectral quality during welding, and accurately locate anomalies in the welding process

A comprehensive host computer system where defect types are self-learned via a convolutional neural network (CNN), eliminating complex operations and achieving more accurate detection

During the laser welding process, (there will be/generates)：Visible light (from metal vapor), laser reflections (from lasers), and near-infrared band light. The optical signals of these radiations can reflect the welding status and the occurrence of defects during the process. By collecting light of various bands during welding, converting it into real-time curves of the welding process via photoelectric conversion, the fluctuations in welding process quality are accurately reflected. Combined with quality detection algorithms, it detects and provides real-time feedback on welding quality defects caused by laser power deviation, weld gap variation, contamination of welding head lenses, material surface contamination, and other factors during laser welding. Additionally, it features traceability of welding quality detection results.

Detection Object：Metal Vapor (Visible Light Signal), Laser Reflection (Laser Reflection Signal), Welding Process Quality

Wavelength Range：400nm-1100nm

Technical Parameters

1.Main Features

Features	Test Conditions	Symbol	Minimum Value	Typical Value	Maximum Value	Unit
Spectral Range		λ	400		1100	nm
Response Time				100		ns
Response Peak			20		2000	W
Protection Level				IP64		/

2.Optical and Electrical Characteristics

Features	Test Conditions	Symbol	Minimum Value	Typical Value	Maximum Value	Unit
Sampling Rate			30K	100K	200K	Hz
Input Impedance				10^7		Ω
Sampling Accuracy				16		Digit
Communication Method				Ethernet/IO
Operating Voltage				24		V
Adjustable Gain				13		dB

3.Size Specifications

LWD Matching Mode

The LWD can be easily paired with various commonly available output heads on the market. It features a comprehensive and convenient installation method, and additionally reserves an integrated CCD vision interface, facilitating customer operation and use.