快速变化工况下工业自动铺带（ATL）工艺的瞬态多模式传热
Transient multimode heat transfer of an industrial automated tape laying process under rapidly changing conditions
- Johannes Kepler University Linz（约翰开普勒林茨大学）
- FerRobotics Compliant Robot Technology GmbH（FerRobotics 柔顺机器人技术有限公司）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本研究针对工业自动铺带工艺，构建了考虑多模式传热与混合对流效应的瞬态热模型，经工业生产线验证，偏差仅1.08%，为原位固结及零件质量提升提供了高保真基础。
AI中文摘要：
本研究提出了一种工业自动铺带（ATL）工艺的瞬态传热模型，旨在克服复合材料制造中传统热模型的局限性。该模型求解耦合了对流、传导、对流换热与辐射换热的热传导方程。其核心创新在于采用解析视角因子方法，该方法考虑了有限的辐射源与铺带宽度，从而修正了1.5维简化模型中固有的辐射热流系统性高估问题。此外，局部对流评估纳入了以理查森数为特征的混合对流效应，确保在宽范围工艺速度下的准确性。ATL系统由两个相互作用的子系统构成：运动的铺带基材与红外热源。铺带采用双节点模型进行离散化，可解析加热表面与监测表面之间的物理相位偏移。通过采用高阶隐式积分格式的整体求解策略，确保了高动态工况下的数值稳定性。模型预测在工业ATL生产线上得到验证，结果显示在速度与电流快速调制下，整体偏差仅为1.08%（归一化均方根误差，NRMSE）。该框架为热状态估计提供了高保真、基于物理的基础，支持稳定的原位固结工艺并提升零件质量。
英文摘要：
This work presents a transient heat-transfer model of an industrial automated tape laying (ATL) process designed to overcome the limitations of conventional thermal models in composite manufacturing. The model solves the heat-conduction equation with coupled advection, conduction, convection, and radiation. A key innovation is the implementation of an analytical view factor approach that accounts for finite emitter and tape widths, thereby correcting systematic overestimations of radiative heat flux inherent in 1.5D simplifications. Furthermore, a local convection assessment incorporates mixed convection effects characterized by the Richardson number, ensuring accuracy across a wide range of process speeds. The ATL system is represented by two interacting subsystems: the moving tape substrate and the infrared heat sources. The tape is discretized using a two-node model that resolves the physical phase shift between the heated and monitored surfaces. Numerical stability under high dynamics is ensured by a monolithic solution strategy using a high-order implicit integration scheme. Model predictions were validated on an industrial ATL line, demonstrating an overall deviation of only 1.08% (NRMSE) under rapid velocity and current modulations. This framework provides a high-fidelity, physics-based foundation for thermal state estimation, supporting consistent in-situ consolidation and improved part quality.
