A resin composition for halogen-free flame-retardant cable sheaths and a method for producing the same

By integrating an improved fruit fly optimization algorithm with an adaptive fuzzy neural network, and an improved sparrow search algorithm with a kernel extreme learning machine, the preparation process of halogen-free flame-retardant cable sheath resin was optimized. This solved the problems of unstable mixing uniformity and flame-retardant performance, achieving product performance stability and consistency, and supporting large-scale production.

CN121699279BActive Publication Date: 2026-06-12LANZHOU ZHONGBANG WIRE & CABLE GRP CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
LANZHOU ZHONGBANG WIRE & CABLE GRP CO LTD
Filing Date
2026-02-11
Publication Date
2026-06-12

AI Technical Summary

Technical Problem

The existing preparation process of halogen-free flame-retardant cable sheath resin has problems such as insufficient uniformity of raw material mixing, unstable flame-retardant and mechanical properties, and lack of dynamic feedback in process parameter control, resulting in poor product performance consistency and difficulty in achieving large-scale stable production.

Method used

The pre-dispersion parameters are optimized by a bidirectional interactive fusion of an improved fruit fly optimization algorithm and an adaptive fuzzy neural network; the melt blending parameters are optimized by a bidirectional interactive fusion of an improved sparrow search algorithm and a kernel extreme learning machine. A closed-loop feedback mechanism is constructed to ensure the uniformity and flame retardant properties of the resin composition.

Benefits of technology

It enables precise measurement of parameters in the raw material pretreatment process, improves mixing uniformity and grafting efficiency, ensures the halogen-free flame retardant properties and mechanical properties of the finished product, and guarantees the stability and consistency of the production process.

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Abstract

The application provides a halogen-free flame-retardant cable sheath resin composition and a preparation method thereof, and belongs to the technical field of polymer composites for cables, and the preparation method comprises the following steps: S1, raw material grading pretreatment and core parameter accurate determination; S2, gradient pre-dispersion and uniformity feedback regulation; S3, stepwise grafting compatibility and grafting rate feedback regulation; S4, dynamic flame-retardant regulation and melt blending; S5, gradient cooling granulation and finished product performance verification. In the two key links of gradient pre-dispersion and dynamic melt blending, two groups of algorithms, an improved fruit fly optimization algorithm-self-adaptive fuzzy neural network and an improved sparrow search algorithm-kernel extreme learning machine, are respectively embedded, the two groups of algorithms are bidirectionally interacted and fused, the problems of empirical setting of traditional process parameters and large performance fluctuation are solved, and the uniformity, flame-retardant performance and mechanical performance of the resin composition are synergistically improved.
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Citation Information

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