机器人现场自适应薄层打印:全建筑规模定制水泥灰泥工程设计和制造的挑战和工作流程

Selen Ercan Jenny, Daniela Mitterberger, Ena Lloret-Fritschi, Lauren Vasey, Eliott Sounigo, Ping-Hsun Tsai, Petrus Aejmelaeus-Lindström, David Jenny, Fabio Gramazio, Matthias Kohler
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引用次数: 1

摘要

本文描述了机器人石膏喷涂(RPS)的1:1比例应用,这是一种新颖的自适应薄层打印技术,使用水泥底涂石膏,在建筑环境中实现。在这种技术中,与大多数3DCP工艺不同,打印层是垂直的。目的是探索这种基于喷雾的打印技术的适用性和可扩展性。在这项研究中,RPS结合了一个增强的交互设计装置,即交互式机器人抹灰(IRoP),它允许用户直接在施工现场进行设计,将建筑结构、正在进行的制造的建成状态和材料行为考虑在内。实验装置是一个现场机器人系统,由安装在半移动垂直轴上的机械臂和集成的自动泵送和自适应喷涂装置组成,该装置配备了深度相机。用户交互由基于控制器的交互系统、交互设计工具和增强现实界面实现。本文介绍了在现场使用复杂的材料系统生产定制灰泥所面临的挑战和工作流程。工作流程包括交互式设计程序、现场定位、过程控制和数据收集方法,可以预测复杂的模拟胶凝材料的行为。结果证明了自适应薄层打印技术的适用性和可扩展性,并解决了诸如在制造过程中保持材料连续性和处理不可预测的材料行为等挑战。
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Robotic on-site adaptive thin-layer printing: Challenges and workflow for design and fabrication of bespoke cementitious plasterwork at full architectural scale

This paper describes the 1:1 scale application of Robotic Plaster Spraying (RPS), a novel, adaptive thin-layer printing technique, using cementitious base coat plaster, realized in a construction setting. In this technique, the print layers are vertical unlike most 3DCP processes. The goal is to explore the applicability and scalability of this spray-based printing technique. In this study, RPS is combined with an augmented interactive design setup, the Interactive Robotic Plastering (IRoP), which allows users to design directly on the construction site, taking the building structure, as-built state of the on-going fabrication and the material behavior into consideration. The experimental setup is an on-site robotic system that consists of a robotic arm mounted on a semi-mobile vertical axis with an integrated, automated pumping and adaptive spraying setup that is equipped with a depth camera. The user interaction is enabled by a controller-based interaction system, interactive design tools, and an augmented reality interface. The paper presents the challenges and the workflow that is needed to work with a complex material system on-site to produce bespoke plasterwork. The workflow includes an interactive design procedure, localization on-site, process control and a data collection method that enables predicting the behavior of complex-to-simulate cementitious material. The results demonstrate the applicability and scalability of the adaptive thin-layer printing technique and address the challenges, such as maintaining material continuity and working with unpredictable material behavior during the fabrication process.

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