Function-aware slicing using principal stress line for toolpath planning in additive manufacturing

Function-aware slicing using principal stress line for toolpath planning in additive manufacturing
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DOI:
10.1016/j.jmapro.2021.02.050
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发表时间:
2021-03-13
影响因子:
6.2
通讯作者:
Chen, Yong
Chen, Yong
中科院分区:
工程技术2区
文献类型:
--
作者:
Sales, Eder;Kwok, Tsz-Ho;Chen, Yong

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增材制造(AM)因其独特的优势而被广泛应用于许多不同的领域,例如可以创建复杂的形状,不需要特定的工具,相对快速,重量轻的设计减少了材料浪费。AM实现的设计自由度还允许组件根据其功能对其拓扑和形状进行高度优化。目前,存在使设计者能够在计算机辅助设计(CAD)阶段执行拓扑优化(TO)的高级算法。然而,优化结果并没有被考虑在下游的AM工艺规划,如刀具路径生成,优化后的结构可能会失去其设计的性能。而不是只考虑在CAD阶段的TO,这项工作提出了一个突破,采用TO的原则,在刀具路径规划过程中,并考虑在AM过程中提出的刀具路径特性。由于刀具路径是直线,本文采用了基于线的TO方法,使用主应力线(PSL)作为指导的刀具路径的生成,以提高结构刚度。该方法是一种高效、可控的方法,能够考虑AM过程的特点。计算结果可以直接转换为刀具路径,可以忠实地制造,并实现在设计阶段指定的组件功能。对所开发的方法进行了结构测试。实验结果表明,应用基于PSL的刀具路径规划策略是一个很有前途的方向,将拓扑优化从CAD阶段到计算机辅助制造(CAM)。据我们所知,这项研究是第一次探讨使用PSL在上午?的刀具路径规划。
Additive manufacturing (AM) has been widely used in many different areas due to its unique advantages, such as the possibility of creating complex shapes, no specific tools required, relatively fast, and less material waste with light-weight designs. The design freedom enabled by AM also allows a component to be highly optimized on its topology and shape according to its function. Currently, there are advanced algorithms that enable designers to perform topology optimization (TO) in the computer-aided design (CAD) phase. However, the optimization results are not considered during the downstream AM process planning like toolpath generation, and the optimized structure may lose its designed performance. Instead of only considering TO in the CAD phase, this work presents a breakthrough in adopting the TO principles in the toolpath planning process and considering the toolpath characteristics presented in the AM processes. Since toolpaths are lines, this paper applies a line-based TO method that uses the principal stress line (PSL) as guidances to the generation of toolpaths to improve structural rigidity. The PSL-based method is efficient, controllable, and able to consider the characteristics of the AM process. The computation results can be directly converted into toolpaths that can be faithfully fabricated and achieve the component function specified in the design phase. Structural tests were performed on the developed method. The experimented results demonstrate that the strategy of applying the PSL-based toolpath planning is a promising direction to incorporate topology optimization from the CAD phase to computer-aided manufacturing (CAM). To the best of our knowledge, this study is the first to explore the use of PSL in the AM?s toolpath planning.