Coupled Process Modeling of Flow and Transport Phenomena in LCM Processing

Coupled Process Modeling of Flow and Transport Phenomena in LCM Processing
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LCM 加工中流动和传输现象的耦合过程建模

DOI:
10.1007/s40192-022-00268-1
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发表时间:
2022
影响因子:
3.3
通讯作者:
Advani, Suresh G.
Advani, Suresh G.
中科院分区:
材料科学3区
文献类型:
--
作者:
Simacek, Pavel;Niknafs Kermani, Navid;Advani, Suresh G.

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在液体复合成型(LCM)工艺中,干燥的织物预成型体在封闭的模具中浸渍热固性树脂以制造复合材料。树脂浸渍过程中通常还伴有其它现象。在这项工作中,我们专注于传输现象,如热对流,固化和挥发物,影响填充过程和/或制造部件的质量。模拟这种流动的传统方法是将所有涉及的物理问题集成到数值求解器中。综合计算模型的复杂性将增加计算时间,并使传输和保留模型的修改变得复杂。后者尤其使探索性建模尝试变得复杂,从而发现需要快速而简单的代码修改的附加物理。我们提出并提供了一种实现方法来分别耦合传输和流模型。通过这种方法,可以使用高度专业化的模拟工具将流模拟与使用单独实现的相关传输现象结合起来。重点是挥发物的传输,包括离散气泡和溶解溶剂,但它同样适用于其他问题,如颗粒传输和过滤或固化传播。该方法面临的挑战是:(1)制定合适的模型并实现它们;(2)有效地解决模型之间的通信。在我们的示例中,不同的模型可以通过标准化消息传递接口(MPI)通过数据交换进行耦合。使用经过良好测试和优化的流动仿真工具LIMS (Liquid Injection Molding simulation)来实现耦合仿真过程,并以有效的方式将仿真状态转移到模拟其他传输现象。耦合模型跟踪不同的颗粒和/或气泡的挥发物和实现对流/扩散溶解挥发物。结果表明了该方法的可行性和实用性。
In Liquid Composite Molding (LCM) processes, dry fabric preforms are impregnated with a thermoset resin in a closed mold to fabricate a composite. The resin impregnation process is usually accompanied by other phenomena. In this work, we concentrate on transport phenomena such as convection of heat, cure and volatiles that impact the filling process and/or the quality of the manufactured part. Conventional approach to modeling such a flow is to integrate all the involved physics into the numerical solver. The complexity of integrated computational models will increase the computational time and complicate modification of transport and retention models once implemented. The latter particularly complicates the exploratory modeling attempts to uncover additional physics that require fast and easy code modification. We propose and provide an implementation methodology to separately couple transport and flow models. With this approach, one can couple flow simulation using highly specialized simulation tools with associated transport phenomena that use separate implementation. The emphasis is on transport of volatiles, both discrete bubbles and dissolved solvents, but it is equally applicable to other problems, such as particle transport and filtration or cure propagation. The challenge of this approach is to (1) formulate proper models and implement them and (2) solve the communication between models efficiently. In our case, the distinct models can be coupled through data exchange, via standardized message passing interface (MPI). A well-tested and optimized flow simulation tool LIMS (Liquid Injection Molding Simulation) is used to implement the coupled simulation processes and transfer the simulation state in an efficient manner to model other transport phenomena. Coupled models to track distinct particles and/or bubbles of volatiles and implement convected/diffused dissolved volatiles. The results are presented highlighting the feasibility and utility of this methodology.
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