Singularity-Aware Motion Planning for Multi-Axis Additive Manufacturing

Journal Article (2021)
Author(s)

Tianyu Zhang (The University of Manchester)

Xiangjia Chen (Chinese University of Hong Kong)

Guoxin Fang (TU Delft - Materials and Manufacturing)

Yingjun Tian (The University of Manchester)

Charlie C.L. Wang (The University of Manchester)

DOI related publication
https://doi.org/10.1109/LRA.2021.3091109 Final published version
More Info
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Publication Year
2021
Language
English
Journal title
IEEE Robotics and Automation Letters
Issue number
4
Volume number
6
Article number
9462416
Pages (from-to)
6172-6179
Downloads counter
228

Abstract

Multi-axis additive manufacturing enables high flexibility of material deposition along dynamically varied directions. The Cartesian motion platforms of these machines include three parallel axes and two rotational axes. Singularity on rotational axes is a critical issue to be tackled in motion planning for ensuring high quality of manufacturing results. The highly nonlinear mapping in the singular region can convert a smooth toolpath with uniformly sampled waypoints defined in the model coordinate system into a highly discontinuous motion in the machine coordinate system, which leads to over-extrusion/under-extrusion of materials in filament-based additive manufacturing. The problem is challenging as both the maximal and the minimal speeds at the tip of a printer head must be controlled in motion. Moreover, collision may occur when sampling-based collision avoidance is employed. In this letter, we present a motion planning method to support the manufacturing realization of designed toolpaths for multi-axis additive manufacturing. Problems of singularity and collision are considered in an integrated manner to improve the motion therefore the quality of fabrication.