Temperature prediction and regulation for complex curved parts during automated fiber placement combining FE simulation and machine learning

IF 7.1 2区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composite Structures Pub Date : 2025-09-29 DOI:10.1016/j.compstruct.2025.119705

Helin Pan , Jianhui Fu , Lei Zu , Xianzhao Xia , Qian Zhang , Guiming Zhang , Qiaoguo Wu , Lichuan Zhou , Huabi Wang , Debao Li

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引用次数: 0

Abstract

Layup temperature is the most sensitive process parameter that impacts the prepreg tack and placement quality. Multi-physics-based process modeling for laying temperature on complex curve structures is time-consuming and notoriously difficult due to the interaction between process conditions and material parameters. This paper develops a hybridized model, combining a FE model (FEM), and a direct and inverse data-driven machine learning model (DDMLM), that can be utilized to simulate the heating process of AFP and control the material temperature for complex curved structures. In it, the dataset obtained from the FEM is first utilized to inform a direct data-driven machine-learning model that can obtain the relationship between layup temperature, heating power, and head speed through training, testing, and validation. Then, an inverse machine learning model is established to estimate the heating power for the defined layup temperature. Finally, the hybridized model is exemplarily executed on a winglet mold to confirm the benefits of such an integration. The results validate that the model can improve the temperature prediction efficiency and realize temperature control accurately.

查看原文本刊更多论文

结合有限元模拟和机器学习的复杂弯曲零件自动铺放过程温度预测与调节

铺层温度是影响预浸料粘性和铺层质量的最敏感工艺参数。由于工艺条件和材料参数之间的相互作用，基于多物理场的复杂曲线结构铺温过程建模非常耗时且困难。本文建立了一种混合模型，将有限元模型（FEM）与直接和逆数据驱动的机器学习模型（DDMLM）相结合，可用于模拟AFP加热过程和控制复杂弯曲结构的材料温度。其中，首先利用FEM获得的数据集来告知直接数据驱动的机器学习模型，该模型可以通过训练、测试和验证获得铺层温度、加热功率和头部速度之间的关系。然后，建立了一个逆机器学习模型来估计定义的铺层温度下的加热功率。最后，在小翼模具上对混合模型进行了实例执行，以证实这种集成的好处。结果表明，该模型可以提高温度预测效率，实现准确的温度控制。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Composite Structures 工程技术-材料科学：复合

CiteScore

12.00

自引率

12.70%

发文量

1246

审稿时长

78 days

期刊介绍： The past few decades have seen outstanding advances in the use of composite materials in structural applications. There can be little doubt that, within engineering circles, composites have revolutionised traditional design concepts and made possible an unparalleled range of new and exciting possibilities as viable materials for construction. Composite Structures, an International Journal, disseminates knowledge between users, manufacturers, designers and researchers involved in structures or structural components manufactured using composite materials. The journal publishes papers which contribute to knowledge in the use of composite materials in engineering structures. Papers deal with design, research and development studies, experimental investigations, theoretical analysis and fabrication techniques relevant to the application of composites in load-bearing components for assemblies, ranging from individual components such as plates and shells to complete composite structures.