Abstract 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.

中文翻译：

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通过颗粒填充槽光聚合进行增材制造的多尺度工艺模拟

摘要 对还原光聚合 (VP) 的大部分研究都集中在工艺和材料参数影响的实验研究上。在 VP 技术的特定应用中，树脂填充有颗粒，这种经验方法有其局限性。为了充分理解工艺参数和材料特性之间的关系，需要进行详细的数值分析。在本文中，我们提出了一种多尺度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，可以确定填料颗粒（在这种情况下为氧化铝）对光散射、转换特性以及由此产生的有效热和机械性能的影响。然后将有效的复合材料和散射特性用作过程模拟框架中的输入。这使得能够在结构水平上预测关键的填充 VP 特性。组件规模的网格敏感性分析表明，可以通过相当粗略的离散化获得足够的预测，从而促进多物理场 VP 零件模拟。