3D printing part orientation optimization: discrete approximation of support volume

Juan C. Guacheta Alba, Sebastian Gonzalez Garzon, Diego A. Nunez, Mauricio Mauledoux, Oscar F. Aviles

Abstract


In three-dimensional (3D) printing, due to the geometry of most parts, it is necessary to use extra material to support the manufacturing process. This material must be discarded after printing, so its reduction is essential to minimize manufacturing time and cost. An important parameter that must be defined before starting the printing process is the part orientation, which has repercussions on the quality, deposition path, and post-processing among others. Usually, the user sets up this parameter arbitrarily, so this paper takes advantage of it on optimization techniques and proposes an approximation of the volume be covered by the support material, which depends directly on the angle of the part to be printed and its geometry. Among mono-objectives optimization strategies, this work focuses on five of them. Their performance is compared by two metrics: support volume and execution time. Then, the best result is compared with commercial software.

Keywords


3D printing; Evolutionary operation; Multivariable optimization; Part orientation; Random walk; Support volume

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DOI: http://doi.org/10.11591/ijece.v12i6.pp5958-5966

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International Journal of Electrical and Computer Engineering (IJECE)
p-ISSN 2088-8708, e-ISSN 2722-2578