An ultrasonic welding quality control system and method

By collecting and analyzing multi-parameter data in real time during the welding process and establishing correlations, closed-loop quality control of ultrasonic welding is achieved, solving the problem of unpredictable welding quality in traditional technologies and improving the stability and reliability of welding.

CN121061318BActive Publication Date: 2026-02-24XIAMEN JINLONG CAR ACCESSORIES CO LTD
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Patent Information

Application Number
CN202511616967.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-11-06
Publication Date
2026-02-24
Estimated Expiration
2045-11-06

AI Technical Summary

Technical Problem

Traditional ultrasonic welding quality control technology struggles to capture the real-time state of the welding process and fails to effectively predict the quality level, leading to frequent occurrences of defects such as incomplete welding, under-welding, and over-welding.

Method used

By collecting sensor data in real time on welding head displacement, weldment interface temperature, welding head amplitude, and welding power, key process nodes are identified, multi-parameter correlations are established, dynamic adjustment values ​​are generated, and closed-loop quality control is achieved.

Benefits of technology

To improve the stability and reliability of welding quality, reduce the defect rate, adapt to changes in different materials and environments, and ensure real-time monitoring and parameter optimization of the welding process.

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Abstract

The application provides an ultrasonic welding quality control system and method, and relates to the technical field of ultrasonic welding.The system comprises a collection and identification module, which is used for collecting sensor data of the displacement of a welding head, the interface temperature of a welding part, the amplitude of the welding head and the welding power in real time during the ultrasonic welding process, and identifying the peak value of the displacement of the welding head, the inflection point of the interface temperature and the critical characteristic value of power fluctuation; and a parameter extraction module, which is used for extracting the peak value characteristic value of displacement, the inflection point characteristic value of interface temperature, the critical characteristic value of power fluctuation, the amplitude characteristic value of the welding head and the welding time characteristic value in the welding process based on the sensor data, and forming a characteristic parameter set.The application realizes accurate control of the welding process, improves the stability of the welding quality and reduces the rate of unqualified products through multi-parameter characteristic extraction, correlation analysis, dynamic adjustment and closed-loop feedback.
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