In the era of intelligent manufacturing, traditional welding inspection methods such as manual visual checks or post-weld mechanical testing are no longer sufficient. These conventional approaches often fail to detect hidden defects like cracks, spatter, undercuts, porosity, and incomplete fusion in real time. Once such defects occur, they can lead to large-scale rework or even scrapped batches—significantly impacting production efficiency and cost. To address these challenges, in-process laser welding detection systems have emerged as a key innovation in laser welding quality control.

Real-Time Quality Monitoring in Laser Welding

As a cornerstone of intelligent welding management, in-process detection enables real-time monitoring of welding quality, preventing defects from forming at the source. By reducing material waste and time loss, it ensures full-process quality control and enhances product performance.

Han’s Laser has developed its self-designed In-Process Laser Welding Detection System, consisting of a laser power acquisition head, a power acquisition module, and proprietary HIWD (Han’s Intelligent Welding Detection) software. The system continuously monitors laser welding conditions, identifies potential defects, and ensures welding quality through multi-dimensional sensing and intelligent analysis. Its core functions include early defect warning, process traceability, and dynamic parameter optimization—enabling manufacturers to achieve higher yields and smarter production control.

Advanced Architecture and High-Speed Response

Built on an embedded hardware-software integrated architecture, Han’s Laser’s system achieves microsecond-level sampling speed, guaranteeing rapid dynamic response during welding. The platform supports flexible configuration of multiple monitoring modes for comprehensive process coverage.

System configuration

With an integrated galvanometer control system, the system can automatically compensate for missed laser spots, ensuring continuous and uniform welds even in complex or high-speed operations.

Intelligent Defect Detection and Early Warning

Through multi-sensor data fusion and intelligent algorithms, the system provides early warning, recognition, and classification of potential defects. It effectively detects and prevents issues such as missing welds, defocusing, beam obstruction, and parameter deviation, addressing root causes of cracks, spatter, depressions, and lack of fusion.

By significantly improving defect detection accuracy and welding consistency, the system is widely applicable to 3C electronics, semiconductor, and medical device manufacturing, where ultra-high precision and reliability are critical. Manufacturers benefit from higher yield rates, reduced scrap, and improved product reliability.

Data Traceability and Process Optimization

In addition to real-time detection, the system supports full-process data traceability and intelligent data management. By correlating production data with quality outcomes, it enables automatic optimization of process parameters.

The data-driven parameter optimization function calculates the best operating parameters from historical good-quality data, boosting first-pass yield and maintaining long-term process stability.

Principle of Detection

During laser welding, the system detects the energy intensity of diffuse reflected light (500–1700 nm) from the weld area to evaluate welding status and identify any defects. The optical signals are converted into electrical signals via a photosensor, with waveform variations directly reflecting welding quality. This allows the system to accurately detect defects and monitor process stability.

Process acquisition principle

When the focal position remains unchanged, the reflected light from the laser output remains nearly constant, forming a reference baseline. Deviations from this baseline—caused by material differences, focal shifts, or parameter variations—trigger alarms, ensuring rapid detection and correction of abnormalities.

Workpiece acquisition product baseline

Typical Defect Detection Scenarios

Defocusing:

Increased signal amplitude indicates excessive defocus, leading to reduced energy density and poor fusion.

Beam Obstruction:

Signal intensity decreases when debris or foreign material blocks the beam, triggering an immediate alarm.

Speed Variation:

Increasing welding speed (e.g., from 50 mm/s to 100 mm/s) causes a measurable signal drop due to insufficient heat input.

Parameter change (welding speed 50 → 100)

Power Reduction:

Lowering laser power (e.g., from 70 W to 30 W) reduces penetration depth and reflected intensity, signaling potential underweld.

Parameter change (power 70W → 30W)

Missing Weld:

A sudden signal drop indicates incomplete or skipped welding, allowing prompt correction before quality failure occurs.

Precision Welding, Redefined

The Han’s Laser In-Process Welding Detection System represents a leap forward in precision and intelligent welding control. By integrating real-time defect prediction, process optimization, and data traceability, it ensures every weld is precise, stable, and reliable—transforming welding from reactive quality control to proactive process assurance.

For more information about Han’s Laser in-process detection systems and advanced welding solutions, contact Han’s Laser today.