论文标题
部分可观测时空混沌系统的无模型预测
p5.fab: Direct Control of Digital Fabrication Machines from a Creative Coding Environment
论文作者
论文摘要
机器设置和调整对于数字制造结果至关重要。但是，探索这些参数是不平凡的。我们试图探索数字制造的完整设计空间。为了确定我们可以在哪里进行干预，我们研究了从业者如何处理3D打印。我们发现，除了使用CAD/CAM之外，它们还创建了定制的例程和工作流程来探索相互依存的材料和机器设置。我们试图提供一个支持此工作流程开发的系统。我们确定了围绕物质探索，微调控制和迭代的设计目标。基于这些，我们提出了P5.FAB，该系统是一种用于控制创意编码环境P5.J.的数字制造机的系统。我们演示了P5.FAB，其中包含传统3D打印软件无法制作的3D打印示例。我们在研讨会中评估P5.FAB，并发现它鼓励新颖的印刷工作流和工件。最后，我们讨论对未来数字制造系统的影响。
Machine settings and tuning are critical for digital fabrication outcomes. However, exploring these parameters is non-trivial. We seek to enable exploration of the full design space of digital fabrication. To identify where we might intervene, we studied how practitioners approach 3D printing. We found that beyond using CAD/CAM, they create bespoke routines and workflows to explore interdependent material and machine settings. We seek to provide a system that supports this workflow development. We identified design goals around material exploration, fine-tuned control, and iteration. Based on these, we present p5.fab, a system for controlling digital fabrication machines from the creative coding environment p5.js. We demonstrate p5.fab with examples of 3D prints that cannot be made with traditional 3D printing software. We evaluate p5.fab in workshops and find that it encourages novel printing workflows and artifacts. Finally, we discuss implications for future digital fabrication systems.
