Singularity-aware motion planning for multi-axis additive manufacturing
Tianyu Zhang, Xiangjia Chen, Guoxin Fang, Yingjun Tian, Charlie C.L., Wang

TL;DR
This paper introduces a motion planning method for multi-axis additive manufacturing that addresses singularity and collision issues to enhance manufacturing quality and accuracy.
Contribution
It presents an integrated approach to handle singularity and collision problems in motion planning for multi-axis additive manufacturing.
Findings
Improved motion smoothness in singular regions
Reduced material over- and under-extrusion
Enhanced collision avoidance capabilities
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…
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Taxonomy
TopicsAdditive Manufacturing and 3D Printing Technologies · Robot Manipulation and Learning · Manufacturing Process and Optimization
