An ACO-Based Tool-Path Optimizer for 3D Printing Applications

Fok, K, Cheng, C, Ganganath, N, Iu, H and Tse, C 2019, 'An ACO-Based Tool-Path Optimizer for 3D Printing Applications', IEEE Transactions on Industrial Informatics, vol. 15, no. 4, pp. 2277-2287.

Document type: Journal Article
Collection: Journal Articles

Title An ACO-Based Tool-Path Optimizer for 3D Printing Applications
Author(s) Fok, K
Cheng, C
Ganganath, N
Iu, H
Tse, C
Year 2019
Journal name IEEE Transactions on Industrial Informatics
Volume number 15
Issue number 4
Start page 2277
End page 2287
Total pages 11
Publisher IEEE
Abstract IEEE Layered additive manufacturing, also known as 3D printing, has revolutionized transitional manufacturing processes. Fabrication of 3D models with complex structures is now feasible with 3D printing technologies. By performing careful tool-path optimization, the printing process can be speeded up, while the visual quality of printed objects can be improved simultaneously. The optimization process can be perceived as an undirected rural postman problem (URPP) with multiple constraints. In this paper, a tool-path optimizer is proposed, which further optimize solutions generated from a slicer software to alleviate visual artifacts in 3D printing and shorten print time. The proposed optimizer is based on a modified ant colony optimization (ACO), which exploits unique properties in 3D printing. Experiment results verify that the proposed optimizer can deliver significant improvements in computational time, print time, and visual quality of printed objects over optimizers based on conventional URPP and ACO solvers.
Subject Manufacturing Robotics and Mechatronics (excl. Automotive Mechatronics)
Keyword(s) ant colony optimization
Layered additive manufacturing
rural postman problem
tool-path optimization
DOI - identifier 10.1109/TII.2018.2889740
Copyright notice © 2019 IEEE
ISSN 1551-3203
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