journal article·2017-06-01Open access

Path Optimization Along Lattices in Additive Manufacturing Using the Chinese Postman Problem

Gregory Dreifus, Kyle Goodrick, Scott Giles, Milan Patel, Reed Matthew Foster, Cody Williams, John Lindahl, Brian Post, Alex Roschli, Lonnie Love, Vlastimil Kunc

Abstract

Abstract We develop a method for programming minimal time tool paths for single-bead-wide extrusions in additive manufacturing (AM) along an arbitrary lattice. We present a graphical model of the three-dimensional (3D) printing process and use the solution to the Chinese Postman Problem (CPP) to optimize the motion of an extruder on a given mesh. We present some graph theory background and explain how to solve the CPP. We then present experimental results, in which we demonstrate the implementation of the CPP in 3D printing. Last, we explain how our graphical understanding of AM can be further utilized to achieve greater optimization in additive research.
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Research context

OpenAlex topics: Additive Manufacturing and 3D Printing Technologies · Manufacturing Process and Optimization · Additive Manufacturing Materials and Processes

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Oak Ridge National Laboratory

University of Tennessee

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