分级线程。利用粘性螺纹不稳定性的传感器自适应机器人控制增材制造功能梯度结构

Marco Palma
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引用次数: 0

摘要

摘要我们提出了一种新的计算制造方法,通过机器人控制粘性螺纹不稳定性(VTI)来生产功能梯度结构(FGS)。FGS的制造通常依赖于离线制造工作流程和稳定的材料条件,这在多个领域和不同的应用规模上都引起了人们的兴趣。通过在不稳定状态下挤压粘土线的空间沉积过程中引入部分控制,我们的方法将VTI的设计和制造可能性扩展到FGS的生产中。传统上,VTI用于非梯度二维非织造织物的工业生产或设计相关三维打印应用中的表面处理,我们将VTI作为功能梯度粘土体积结构计算制造的主要设计和制造驱动因素。在不依赖预测物理模拟模型的情况下,我们的方法依赖于传感设备提供的反馈信息,该反馈信息与集成了数控粘土挤出机的工业6轴机器人机械手相结合。感测到的信息用于追溯更新计算模型的输入,该计算模型被编程为指导机器人添加制造用户定义的功能体积梯度。我们说明了主要的设计和制造相关参数,以及一组旨在验证我们模型准确性的材料实验。我们展示了一组制作的输出,以说明模型的灵活性,以适应各种设计意图,最后,我们讨论了其在跨标量和跨学科应用方面的进一步研究潜力。
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Grading Threads. Exploiting Viscous Thread Instability for the additive fabrication of Functionally Graded Structures via sensor-adaptive robotic control

Abstract

We present a novel computational fabrication method for the production of Functionally Graded Structures (FGS) via robotic control of Viscous Thread Instability (VTI). Of interest in several fields and at different scales of application, the fabrication of FGS is often relying on offline fabrication workflows and on stable material conditions. By introducing partial control in the process of spatial deposition of an extruded clay thread in a state of instability, our method extends the design and fabrication possibilities of VTI to the production of FGS. Traditionally exploited for the industrial production of not-graded two-dimensional nonwoven textiles or for surface treatments in design-related 3d printing applications, we frame VTI as the main design and fabrication driver for the computational fabrication of functionally graded clay volumetric structures. Without relying on predictive physical simulation models, our method relies on feedback information provided by sensing equipment in combination with an industrial 6 axis robotic manipulator integrated with a numerically controlled clay extruder. The sensed information is used to retroactively update the inputs of a computational model programmed to guide the robotic additive fabrication of user-defined functional volumetric gradients. We illustrate the main design- and fabrication-related parameters and a set of material experiments designed to validate the accuracy of our model. We present a set of fabricated outputs to illustrate the flexibility of the model to accommodate a variety of design intentions and, finally, we discuss its potential for further research involving cross-scalar and trans-disciplinary applications.

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