Insulation pouring dynamic regulation method and system based on rheological data driving

By constructing a real-time rheological state model and dynamically controlling the casting process, the problem of a sudden increase in flow resistance caused by changes in material viscosity during the casting of insulating components was solved, achieving a match between material flowability and curing process, and improving the internal quality of insulating components.

CN122125844APending Publication Date: 2026-06-02XIAMEN YIFANDA NEW MATERIAL CO LTD
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Applications(China)
Current Assignee / Owner
XIAMEN YIFANDA NEW MATERIAL CO LTD
Filing Date
2026-05-06
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

In the prior art, changes in material viscosity during the casting process of insulating components lead to a sharp increase in flow resistance, resulting in insufficient filling or air bubbles in some areas, which affects insulation performance and withstand voltage strength.

Method used

By acquiring viscosity data, shear response data, and curing stage data, a real-time rheological state model is constructed to dynamically control the casting process, including stage determination, deviation data generation, and dynamic casting control parameter generation, thereby achieving a match between material flowability and curing process.

Benefits of technology

This effectively avoids localized insufficient filling and bubble inclusions caused by a sudden increase in flow resistance, improves the internal quality of the insulating components, and enhances insulation performance and withstand voltage strength.

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Abstract

This invention provides a method and system for dynamic control of insulating component casting based on rheological data, relating to the field of data processing technology. By acquiring viscosity data, shear response data, and curing stage data, a real-time rheological state model reflecting the correlation between material flowability and curing process is constructed, and corresponding rheological state data is output. Based on the rheological state data, feature parameters are extracted, the casting process is divided into stages, and target flow control data is generated. Deviation data is generated by combining pressure and temperature data within the mold cavity to determine the trend of flow resistance changes, and feedforward adjustment of casting pressure and casting speed is performed accordingly. In the end-compensation stage, pressure compensation is adjusted based on the viscosity growth inflection point to achieve dynamic control of the casting process, ensuring that material flowability matches the curing process.
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