Hybrid twin of RTM process at the scarce data limit

IF 2.6 3区 材料科学 Q2 ENGINEERING, MANUFACTURING
Sebastian Rodriguez, Eric Monteiro, Nazih Mechbal, Marc Rebillat, Francisco Chinesta
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Abstract

To ensure correct filling in the resin transfer molding (RTM) process, adequate numerical models have to be developed in order to correctly capture its physics, so that this model can be considered for process optimization. However, the complexity of the phenomenon often makes it impossible for numerical models to accurately predict its behavior, limiting its usage. To overcome this limitation, numerical models are enriched with measured data to ensure their correct predictability. Nevertheless, the data used is often limited due to practical constraints, such as a limited number of sensors or the high costs of experimental campaigns. In this context, the present paper demonstrates the implementation of a numerical model enriched with data, called Hybrid Twin applied to the RTM process when few sensors are considered in the mold to be injected. The performances of the developed hybrid twin are tested in a virtual test for the injection of a 2D mold, where the hybrid twin constructed using a simplified numerical model allows to accurately predict a complex model’s resin flow-front over its entire time history.

Abstract Image

数据稀缺条件下RTM过程的混合孪生
为了确保树脂传递成型(RTM)过程中的正确填充,必须开发足够的数值模型以正确捕获其物理特性,以便该模型可以用于工艺优化。然而,这种现象的复杂性往往使数值模型无法准确预测其行为,从而限制了它的使用。为了克服这一限制,数值模型中加入了实测数据,以确保其正确的可预测性。然而,由于实际的限制,例如传感器数量有限或实验活动的高成本,所使用的数据往往有限。在这种情况下,本文演示了一个数据丰富的数值模型的实现,称为Hybrid Twin,应用于RTM过程,当在模具中考虑注入很少的传感器时。开发的混合孪生体的性能在2D模具注射的虚拟测试中进行了测试,其中混合孪生体使用简化的数值模型构建,可以准确预测复杂模型在整个时间历史中的树脂流锋。
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来源期刊
International Journal of Material Forming
International Journal of Material Forming ENGINEERING, MANUFACTURING-MATERIALS SCIENCE, MULTIDISCIPLINARY
CiteScore
5.10
自引率
4.20%
发文量
76
审稿时长
>12 weeks
期刊介绍: The Journal publishes and disseminates original research in the field of material forming. The research should constitute major achievements in the understanding, modeling or simulation of material forming processes. In this respect ‘forming’ implies a deliberate deformation of material. The journal establishes a platform of communication between engineers and scientists, covering all forming processes, including sheet forming, bulk forming, powder forming, forming in near-melt conditions (injection moulding, thixoforming, film blowing etc.), micro-forming, hydro-forming, thermo-forming, incremental forming etc. Other manufacturing technologies like machining and cutting can be included if the focus of the work is on plastic deformations. All materials (metals, ceramics, polymers, composites, glass, wood, fibre reinforced materials, materials in food processing, biomaterials, nano-materials, shape memory alloys etc.) and approaches (micro-macro modelling, thermo-mechanical modelling, numerical simulation including new and advanced numerical strategies, experimental analysis, inverse analysis, model identification, optimization, design and control of forming tools and machines, wear and friction, mechanical behavior and formability of materials etc.) are concerned.
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