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Multi-scale process simulation for additive manufacturing through particle filled vat photopolymerization

机译:通过颗粒填充增值税光聚合的添加剂制造的多尺度过程模拟

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摘要

The majority of research into vat photopolymerization (VP), has been focused on experimental investigations of the influence of process and material parameters. In a specific application of the VP technique, where the resin is filled with particles, this empirical approach has its limitations. In order to fully understand the relation between process parameters and the material properties a detailed numerical analysis is needed. In this paper we present a multi-scale and multi-physical simulation approach to unravel such relations in the complex production process. Using a homogenization approach, the influence of the filler particles, in this case alumina, on the light scattering, conversion characteristics and resulting effective thermal and mechanical properties is determined. The effective composite material and scattering properties are then used as input in a process simulation framework. This enables prediction of key filled-VP characteristics at a structural level. A mesh sensitivity analysis at the component scale reveals that adequate predictions may be obtained with a rather course discretization, facilitating multi-physics VP part simulations.
机译:大多数研究进入增值税光聚合(VP),一直专注于对工艺和材料参数影响的实验研究。在VP技术的特定应用中,在树脂填充有颗粒的情况下,这种经验方法具有其限制。为了完全理解过程参数与材料特性之间的关系,需要详细的数值分析。在本文中,我们提出了一种多规模和多物理模拟方法来解开复杂生产过程中的这种关系。使用均质化方法,确定填料颗粒在光散射,转化特性和产生有效的热和机械性能上的影响。然后将有效的复合材料和散射性能用作过程模拟框架中的输入。这使得能够在结构级别预测关键填充VP特性。组件规模的网眼敏感性分析表明,可以通过相当课程的离散化获得足够的预测,促进多物理VP部件模拟。

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