Parallel seam welding full-automatic production process based on multi-station linkage

CN122274376APending Publication Date: 2026-06-26QINDAO MINGYI TONGDA TECH CO LTD
View PDF 0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
QINDAO MINGYI TONGDA TECH CO LTD
Filing Date
2026-03-10
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing parallel seam welding processes face process drift issues in automated mass production, resulting in unstable welding quality that is difficult to correct in real time. Furthermore, spatter during the welding process is difficult to suppress effectively, affecting the airtightness of the weld.

Method used

The system employs a fully automated parallel seam welding production system based on multi-station linkage, including a ring servo conveyor line, a collaborative self-tuning welding station, and an airtightness initial inspection station. By monitoring the welding characteristic vector and leakage rate in real time during the welding process, the system utilizes a central control system for self-optimization adjustment, real-time closed-loop control of welding parameters, suppression of spatter, and improvement of welding quality.

Benefits of technology

It has achieved stability and consistency in welding quality, reduced the defect rate, improved welding reliability, shortened the commissioning cycle, and reduced the risk of incomplete welding and leakage caused by spatter.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122274376A_ABST
    Figure CN122274376A_ABST
Patent Text Reader

Abstract

This application relates to the field of automated welding technology and discloses a fully automated parallel seam welding production process based on multi-station linkage, including a collaborative self-tuning welding station, an airtightness preliminary inspection station, and a central control system set up on the automated production line. The welding station performs welding on the workpiece according to a received adjustable welding control target vector and generates a corresponding welding feature vector; the preliminary inspection station is used to detect the leakage rate of the workpiece; a data association module associates the two into a process-quality data pair. The central control system updates the prediction model in real time based on this data, and when process drift is detected in the leakage rate statistics, it performs self-optimization adjustment of the welding control target vector and reissues the updated vector to the welding station. This invention achieves intelligent self-optimization of the welding process by establishing a closed-loop feedback between process and quality, actively compensating for process drift, thereby improving the quality stability of mass production.
Need to check novelty before this filing date? Find Prior Art