王夏琴,黄南薰
Wang Xiaqin Huang Nanxun ( School of Environmental Science and Engineering ; Donghua University 200051);

• 1:东华大学环境学院
• 2:东华大学环境学院 上海 200051
• 3:上海 200051

摘要(Abstract)：

运用神经元网络方法与数学模拟方法结合起来形成的“互补法”对 PET超高速纺丝细颈点进行摸拟,不仅得到了细颈点的位置,而且得到了在细颈点温度升高和快速结晶等重要信息。并对以往常用的高速纺丝基本方程中的参数进行修改,从而使模拟结果更接近超高速纺丝真实状况。
Necking point in PET super-high speed spinning was simulated with artificial neural networks and mathematical simuktion convoluted method, or cross over method. Important information such as spinning temperature rise and rapid crystallization at necking point was obtained as well as the position of necking point. Computed results approached real high speed spinning by correcting parameters in previous governing equations of super-high speed spinning.

关键词(KeyWords)： 高速纺丝;细颈点;数学模拟;神经元网络方法

Abstract:

Keywords:

基金项目(Foundation): 本课题由霍英东教育基金资助(编号71068)

作者(Authors): 王夏琴,黄南薰
Wang Xiaqin Huang Nanxun ( School of Environmental Science and Engineering ; Donghua University 200051);

DOI: 10.16090/j.cnki.hcxw.2001.06.003

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