Additive manufacturing (AM) is the process of joining materials layer by layer to fabricate products based on 3D models. Due to the layer-by-layer nature of AM, parts with complex geometries, integrated assemblies, customized geometry or multifunctional designs can now be manufactured more easily than traditional subtractive manufacturing. Path planning in AM is an important step in the process of manufacturing products. The final fabricated qualities, properties, etc., will be different when using different path strategies, even using the same AM machine and process parameters. Currently, increasing research studies have been published on path planning strategies with different aims. Due to the rapid development of path planning in AM and various newly proposed strategies, there is a lack of comprehensive reviews on this topic. Therefore, this paper gives a comprehensive understanding of the current status and challenges of AM path planning. This paper reviews and discusses path planning strategies in three categories: improving printed qualities, saving materials/time and achieving objective printed properties. The main findings of this review include: new path planning strategies can be developed by combining some of the strategies in literature with better performance; a path planning platform can be developed to help select the most suitable path planning strategy with required properties; research on path planning considering energy consumption can be carried out in the future; a benchmark model for testing the performance of path planning strategies can be designed; the trade-off among different fabricated properties can be considered as a factor in future path planning design processes; and lastly, machine learning can be a powerful tool to further improve path planning strategies in the future.

中文翻译：

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优化增材制造中的精度、质量、构建时间和材料使用的路径规划策略：回顾。


增材制造 (AM) 是逐层连接材料以制造基于 3D 模型的产品的过程。由于增材制造的逐层性质，具有复杂几何形状、集成组件、定制几何形状或多功能设计的零件现在可以比传统减材制造更容易制造。增材制造中的路径规划是产品制造过程中的重要步骤。当使用不同的路径策略时，即使使用相同的增材制造机器和工艺参数，最终制造的质量、性能等也会有所不同。目前，越来越多的关于不同目标的路径规划策略的研究已发表。由于增材制造路径规划的快速发展和各种新提出的策略，目前缺乏对该主题的全面综述。因此，本文全面了解AM路径规划的现状和挑战。本文回顾并讨论了三个类别的路径规划策略：提高印刷质量、节省材料/时间和实现目标印刷特性。 本次综述的主要发现包括：可以通过结合文献中的一些具有更好性能的策略来开发新的路径规划策略；可以开发路径规划平台来帮助选择具有所需属性的最合适的路径规划策略；未来可以开展考虑能耗的路径规划研究；可以设计用于测试路径规划策略性能的基准模型；不同制造属性之间的权衡可以被视为未来路径规划设计过程中的一个因素；最后，机器学习可以成为未来进一步改进路径规划策略的强大工具。