Tank spinning forming thickness intelligent control method and system

By collecting and analyzing thickness fluctuation signals during the spinning process in real time, generating thickness gradient tensors and phase shift characteristics, dynamically adjusting the laser scanning lens and optimizing the spinning wheel feed path, the problem of uncontrolled wall thickness fluctuation in tank spinning is solved, realizing intelligent control and precision improvement of tank wall thickness.

CN121289350APending Publication Date: 2026-01-09JIANGSHAN HUIHUANG FIRE TECH CO LTD
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Patent Information

Application Number
CN202511413297.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-29
Publication Date
2026-01-09

AI Technical Summary

Technical Problem

In the existing technology, material springback during the spinning process of the tank body leads to uncontrolled wall thickness fluctuations, inaccurate phase offset compensation, and uncontrollable spinning scrap rate. Traditional position control mode cannot perceive the dynamic changes in the forming state in real time and is difficult to adapt to material property drift and sudden mechanical disturbances.

Method used

By collecting thickness fluctuation signals during the spinning process, a thickness gradient tensor is generated using time-series decomposition technology. The thickness fluctuation intensity value and phase shift characteristics are calculated, the curvature of the laser scanning lens is dynamically adjusted, and a three-dimensional wall thickness cloud map is output to identify areas with abnormal thickness. Based on the phase shift characteristics, a trajectory compensation vector is generated to optimize the spinning wheel feed path to suppress material springback.

Benefits of technology

It achieves intelligent control of tank wall thickness, significantly improves wall thickness uniformity and forming accuracy, reduces spinning scrap rate, and provides a data-driven intelligent solution.

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Abstract

The invention provides an intelligent control method and system for the spinning forming thickness of a tank. According to the method, a spinning tank surface thickness fluctuation signal is collected, and a thickness gradient tensor is generated through time sequence decomposition; extracting a thickness fluctuation intensity value in the tensor and a time sequence lag amount of thickness change of adjacent points to calculate a phase deviation feature; based on the characteristics, the curvature of a laser scanning lens on an annular spinning roller is dynamically adjusted, and a three-dimensional wall thickness cloud picture for identifying the thickness abnormal area is output through focusing and scanning of the tank body; a spinning roller motion track is obtained, thickness change-track space deviation is calculated by associating the thickness abnormal area with the phase deviation characteristics, and a track compensation vector is generated; and according to the vector, a spinning roller feeding path is dynamically optimized, and wall thickness fluctuation caused by material springback is inhibited. Dynamic wave suppression of the wall thickness of the spinning tank is achieved, thickness fluctuation is compressed, and the rejection rate is reduced.
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