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Additive Manufacturing Path Generation for Robot Manipulators Based on CAD Models ?

机译:基于CAD模型的机器人操纵器的添加剂制造路径生成

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Traditional extrusion based additive manufacturing (AM) is realized using a 3 degrees of freedom (DOF), translation only, 3D printer. It then follows that the printer must be larger than the printed part. One way of enabling AM on a larger scale is to combine AM with robotics. By using a 6 DOF robot manipulator to extrude a fast-curing material, the workspace of the build would be greatly expanded. In addition, since the structures would no longer have to be built with the bottom-up or top-down approach which is necessary for most existing forms of AM, the flexibility of the building process would also increase. This could possibly reduce the need for support structures to the point of only relying of anchoring and stabilizing. In this paper, a method for generating a path for AM using robot manipulators that takes advantage of the robot’s DOF is presented. The path is generated based on simple surfaces in CAD models. First, the surface is sampled and the samples are gathered in a point cloud. Then, a path is generated based on the point cloud. Three different approaches for generating a path are tested where the weighted greedy choice algorithm gave the most promising result. With this algorithm, printing along curved surfaces and in nonlinear paths are enabled.
机译:传统的挤出基础添加剂制造(AM)使用3次自由(DOF)来实现,仅限3D打印机。然后,打印机必须大于印刷部分。启用较大规模的一种方式是将我与机器人组成。通过使用6个DOF机器人机械手挤出快速固化材料,构建的工作空间将大大扩展。此外,由于结构不再需要用大多数现有形式所需的自下而上或自上而下的方法构建,因此建筑过程的灵活性也会增加。这可能会降低支持结构的需求,仅依靠锚固和稳定性。在本文中,呈现了一种利用利用机器人DOF的机器人操纵器来产生用于为AM的路径产生的方法。该路径基于CAD模型中的简单曲面生成。首先,采样表面,并将样品聚集在点云中。然后,基于点云生成路径。测试了三种不同的生成路径的方法,其中加权贪婪选择算法给出了最有前途的结果。利用该算法,沿着曲面和非线性路径打印。

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