论文标题
Simulearn：快速准确的模拟器，以支持变形材料设计和工作流程
SimuLearn: Fast and Accurate Simulator to Support Morphing Materials Design and Workflows
论文作者
论文摘要
变形材料使我们能够通过利用材料的动态行为来创造新的相互作用和制造方式。然而，尽管该领域内计算工具的持续快速增长，但由于缺乏有效的仿真方法，目前的发展还是瓶颈。结果，现有的设计工具必须在速度和准确性之间进行权衡，以支持实时交互式设计方案。作为回应，我们介绍了Simulearn，这是一种数据驱动的方法，该方法结合了有限元分析和机器学习，以创建实时（0.61秒）和真实（准确性97％）变形材料模拟器。我们使用类似网状的4D打印结构来上下文化此方法和原型设计工具来体现通过快速准确的模拟方法启用的设计工作流和空间。在现有文献中，我们认为Simulearn是HCI CAD工具箱的及时补充，可以实现变形材料的扩散。
Morphing materials allow us to create new modalities of interaction and fabrication by leveraging dynamic behaviors of materials. Yet, despite the ongoing rapid growth of computational tools within this realm, current developments are bottlenecked by the lack of an effective simulation method. As a result, existing design tools must trade-off between speed and accuracy to support a real-time interactive design scenario. In response, we introduce SimuLearn, a data-driven method that combines finite element analysis and machine learning to create real-time (0.61 seconds) and truthful (97% accuracy) morphing material simulators. We use mesh-like 4D printed structures to contextualize this method and prototype design tools to exemplify the design workflows and spaces enabled by a fast and accurate simulation method. Situating this work among existing literature, we believe SimuLearn is a timely addition to the HCI CAD toolbox that can enable the proliferation of morphing materials.
