Continuous Toolpath Planning in Additive Manufacturing
Prashant Gupta, Bala Krishnamoorthy, Gregory Dreifus

TL;DR
This paper introduces a novel framework for continuous toolpath planning in additive manufacturing, utilizing an Euler transformation of mesh complexes to generate collision-free, continuous printing paths across complex geometries.
Contribution
The authors develop an Euler transformation-based method that guarantees continuous, crossover-free toolpaths for layer-by-layer 3D printing, even with complex topologies.
Findings
Successfully applied to various 3D models including Stanford bunny.
Produces continuous toolpaths that avoid material collisions.
Handles complex geometries with holes and intricate topologies.
Abstract
We develop a framework that creates a new polygonal mesh representation of the sparse infill domain of a layer-by-layer 3D printing job. We guarantee the existence of a single, continuous tool path covering each connected piece of the domain in every layer. We present a tool path algorithm that traverses each such continuous tool path with no crossovers. The key construction at the heart of our framework is an Euler transformation which converts a 2-dimensional cell complex K into a new 2-complex K^ such that every vertex in the 1-skeleton G^ of K^ has even degree. Hence G^ is Eulerian, and a Eulerian tour can be followed to print all edges in a continuous fashion. We start with a mesh K of the union of polygons obtained by projecting all layers to the plane. We compute its Euler transformation K^. In the slicing step, we clip K^ at each layer using its polygon to obtain a complex that…
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