基于神经网络代理模型的树脂传递模塑在线浇口驱动流量控制
Online Gate-Driven Flow Control in Resin Transfer Moulding Using a Neural-Network Surrogate
- University of Auckland（奥克兰大学）
- University of Delaware（特拉华大学）
机构由 AI 辅助整理，请以论文原文为准。
中文总结 AI 辅助
针对树脂传递模塑的流道效应问题，本文结合迭代扩展卡尔曼滤波估计与神经网络代理模型控制，可显著降低充模未填充节点数，改进效果与辅助浇口位置及数量相关。
中文摘要 AI 辅助
在树脂传递模塑工艺中，为避免干斑形成，需在树脂前沿到达出口排气孔前完全浸润纤维预成型体。实际生产中，受流道效应影响，流动前沿极少均匀推进。针对该问题，本文提出一种结合估计与控制的策略：利用充模过程中压力传感器采集的数据，通过迭代扩展卡尔曼滤波估计未知流道强度，同时优化辅助浇口压力，以防止树脂在完全浸润前到达排气孔。为确保该方法可实时应用，本文用神经网络代理模型替代计算成本高昂的有限元-控制体积模型，并采用贝叶斯近似误差框架处理代理模型与原始模型的差异。为使代理模型能在时变控制动作下有效训练，本文证明流动前沿几何仅依赖浇口压力的时间平均值。本文在典型叉形几何结构上验证了该方法，结果显示，与无控制的基准方案相比，所提估计与控制结合的框架可显著减少充模结束时的未填充节点数量，但改进程度高度依赖辅助浇口的位置与数量。
英文摘要
In resin transfer moulding, complete saturation of the fibre preform is necessary before the resin front reaches the outlet vent(s), to prevent dry-spot formation. In practice, the flow front rarely advances uniformly due to race-tracking effects. We propose a combined estimation and control strategy to address this issue. We use pressure-sensor data collected during filling to estimate the unknown race-tracking strengths via an iterated extended Kalman filter, and to simultaneously optimise auxiliary gate pressures to prevent the resin from arriving at the vent before complete saturation occurs. To make this approach feasible in real time, we replace the expensive finite element-control volume model with neural network surrogate models. The Bayesian approximation error framework is used to account for the discrepancy between the surrogates and the original model. To make the training of the surrogates feasible with time-dependent control actions, we prove that the flow-front geometry depends only on the time-averaged gate pressures. We demonstrate the methodology on a representative forked geometry, showing that the combined estimation-and-control framework can substantially reduce the number of unfilled nodes at the end of filling compared with an uncontrolled baseline. However, the level of improvement depends strongly on the location and number of auxiliary gates.
