Digital Design Automation to Support In-Situ Embedding of Functional Components in Additive Manufacturing

Manoj Malviya, Swapnil Sinha, N. Meisel
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引用次数: 3

Abstract

Additive manufacturing (AM) offers access to the entire volume of a printed artifact during the build operation. This makes it possible to embedding foreign components (e.g. sensors, motors, actuators) into AM parts, thus enabling multifunctional products directly from the build tray. However, the process of designing for embedding currently requires extensive designer expertise in AM. Current methods rely on a designer to select an orientation for the embedded component and design a cavity such that the component can be successfully embedded without compromising the print quality of the final part. For irregular geometries, additional design knowledge is required to prepare a shape converter: a secondary piece to ensure a flush deposition surface on top of the embedded component. This research aims to develop a tool to automate these different design decisions for in-situ embedding, thus reducing the need for expert design knowledge. A three-stage process is proposed to 1) find the optimum orientation based on cavity volume and cross-section area, 2) create the necessary cavity geometry to successfully insert the component, and 3) perform a Boolean operation to create the digital design for any requisite shape converter. Performance of the tool is demonstrated with four test cases with varying levels of geometric complexity. These test cases show that the proposed process successfully handles arbitrary embedded geometries, though several limitations are noted for future work.
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支持增材制造中功能组件原位嵌入的数字设计自动化
增材制造(AM)在构建操作期间提供了对打印工件的整个体积的访问。这使得将国外组件(例如传感器、电机、执行器)嵌入AM部件成为可能,从而可以直接从构建托盘中实现多功能产品。然而,为嵌入设计的过程目前需要在AM广泛的设计师专业知识。当前的方法依赖于设计人员为所述嵌入组件选择方向并设计空腔,使得所述组件可以成功嵌入而不影响最终部件的打印质量。对于不规则的几何形状,需要额外的设计知识来准备形状转换器:第二件,以确保嵌入式组件顶部的平齐沉积表面。本研究旨在开发一种工具,使这些不同的设计决策自动化,从而减少对专家设计知识的需求。提出了一个三阶段的过程:1)根据腔体体积和横截面面积找到最佳方向;2)创建必要的腔体几何形状以成功插入组件;3)执行布尔运算以创建任何必要形状转换器的数字设计。该工具的性能用四个不同几何复杂度的测试用例进行了演示。这些测试用例表明,所建议的流程成功地处理了任意嵌入的几何图形,尽管注意到未来工作的一些限制。
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