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Multi-scale modelling of expanding polyurethane foams: Coupling macro- and bubble-scales

机译:膨胀聚氨酯泡沫的多尺度建模:宏观尺度与气泡尺度的耦合

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In this work, we apply a general multi-scale methodology to the simulation of reacting and expanding polyurethane (PU) foams. The approach starts from the baseline macro-scale model of Karimi and Marchisio (2015), which describes the foam as a continuum and applies the population balance equation (PBE) to determine the evolution of the bubble size distribution (BSD) during the foaming process. The main novelty of this work is the replacement of the simplistic bubble growth rate model used previously, with the detailed bubble-scale model, which resolves the mass, momentum and energy boundary layers around the bubble. A second important novelty concerns the way in which the macro and the bubble-scale models are coupled, namely on-the-fly and by using the MoDeNa interface. The performance of the final multi-scale model is evaluated by analysing the predictions for foam density, temperature and BSD on 11 different test cases. Comparison for these test cases demonstrates a significant improvement in the ability of the model to describe the PU foaming process. (C) 2016 Elsevier Ltd. All rights reserved.
机译:在这项工作中,我们将通用的多尺度方法应用于模拟和膨胀聚氨酯(PU)泡沫。该方法从Karimi和Marchisio(2015)的基准宏观模型开始,该模型将泡沫描述为连续体,并应用人口平衡方程(PBE)确定泡沫过程中气泡尺寸分布(BSD)的演变。 。这项工作的主要新颖之处在于用详细的气泡比例模型代替了以前使用的简单气泡增长率模型,该模型解决了气泡周围的质量,动量和能量边界层。第二个重要的新颖性涉及宏模型和气泡比例模型的耦合方式,即即时使用MoDeNa接口耦合的方式。通过分析11个不同测试案例的泡沫密度,温度和BSD预测,评估了最终多尺度模型的性能。这些测试案例的比较表明,该模型描述PU发泡过程的能力有了显着提高。 (C)2016 Elsevier Ltd.保留所有权利。

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