一种碳纤维纺丝工艺的原位表征方法及系统

By setting up multiple detection nodes in the carbon fiber spinning process for online detection, the problem of lag in traditional offline detection methods is solved, enabling real-time monitoring of the spinning process and improving product quality.

CN121558616BActive Publication Date: 2026-07-17NEWTRY COMPOSITE

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NEWTRY COMPOSITE
Filing Date
2025-12-12
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In current carbon fiber spinning production, traditional offline detection methods cannot reflect the instantaneous structure and performance during the spinning process in real time, resulting in a disconnect between the detection data and the actual process conditions. This makes it difficult to build an accurate correlation model, affecting product quality and stability.

Method used

An in-situ characterization method for carbon fiber spinning process is constructed. By setting multiple characterization and detection nodes in the spinning process, multiple independent fiber samples are extracted for online detection. The fiber is scanned and analyzed in the vertical direction using a characterization and detection light source, thereby realizing real-time monitoring of the entire spinning process.

Benefits of technology

It enables real-time, dynamic monitoring of the entire spinning process, improving the R&D efficiency of spinning technology and product quality, ensuring the accuracy and continuity of test data, and avoiding the lag and destructiveness of traditional offline testing.

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Abstract

本发明涉及碳纤维生产技术领域,尤其涉及一种碳纤维纺丝工艺的原位表征方法及系统,通过构建制备、牵伸和表征检测工段的实验线,解决现有技术无法对纺丝全过程进行同步原位表征的问题。制备多股独立的初生纤维作为检测样本使其同步经历牵伸工段,基于牵伸工段工序确定多个检测节点,在各检测节点处抽取一股纤维引导至表征检测工段,利用检测光源进行并行在线表征。本发明通过多节点并行采样与对比分析,能够精确解析各纺丝工序对纤维结构的微观影响,系统运行高效、数据可靠,为科学指导生产工艺优化提供了关键技术手段。
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