A method, system and apparatus for welding a flange body

By acquiring the three-dimensional topological data of the flange through a multimodal data acquisition device embedded in smart glasses and performing quantitative analysis based on working conditions, differentiating zones are divided and welding strategies are optimized. This solves the problem of unstable welding quality in traditional flanges and achieves high-quality and stable welding results.

CN120734572BActive Publication Date: 2026-06-09WUXI AIERTE PETROCHEMICAL MASCH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
WUXI AIERTE PETROCHEMICAL MASCH CO LTD
Filing Date
2025-08-06
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Traditional flange welding processes use uniform parameters that cannot match the different working conditions in different areas, resulting in unstable welding quality and a high risk of local failure, especially under complex working conditions, which can easily lead to sealing failure or brittle fracture.

Method used

By using a multimodal data acquisition device embedded in smart glasses, the three-dimensional topological data of the flange is acquired, structural features are extracted, and quantitative analysis is performed in conjunction with working conditions to divide the area into differentiated zones and optimize welding strategies to achieve precise control.

Benefits of technology

It improves the consistency and stability of flange welding quality, reduces the incidence of welding defects, and ensures structural reliability under complex working conditions.

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Abstract

This invention discloses a welding method, system, and equipment for flange bodies, relating to the field of intelligent welding control. The method includes: scanning the flange body to acquire three-dimensional topological data, extracting and quantifying structural features; integrating operating condition requirements and structural parameters to analyze the operating condition severity coefficient of each structural relationship; performing differentiated partitioning based on the operating condition severity coefficient and structural parameters to determine the target parameters for each partition; optimizing the welding strategy through simulation, and implementing welding control according to the partitioning strategy. This addresses the technical problem of unstable welding quality and high risk of local failure in traditional flange welding due to the inability to match different operating conditions in different areas caused by the use of uniform process parameters. The method achieves the technical effect of precisely customizing welding parameters for different areas by scanning flange geometric parameters and combining them with operating condition data for partitioned evaluation, thereby improving the consistency and stability of flange welding quality.
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